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Applied & Computational Mathematics Journals | OMICS Publishing Group
 
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This video belongs to Applied mathematics which is a branch of mathematics that concerns with mathematical methods that are typically used in science, engineering, business, and industry. Computational mathematics involves mathematical research in areas of science where computing plays a central and essential role in emphasizing algorithms, numerical methods and symbolic methods. The journal provides an Open Access platform to analyze new computational and applied techniques for solving the scientific or engineering problems.It is under an Open Access category by OMICS Publishing Group which is a peer-reviewed journal, aims to provide the most complete, dependable and undeviating source of information on current developments in the arena of Applied and Computational Mathematics. The emphasis will be on publishing quality research papers rapidly and to make freely available to researchers worldwide. To access more information about Journal of Applied & Computational Mathematics please follow OMICS Publishing Group's official page http://omicsgroup.org/journals/jacmhome.php
SIAM Journal on Scientific and Statistical Computing | Wikipedia audio article
 
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This is an audio version of the Wikipedia Article: https://en.wikipedia.org/wiki/SIAM_Journal_on_Scientific_Computing Listening is a more natural way of learning, when compared to reading. Written language only began at around 3200 BC, but spoken language has existed long ago. Learning by listening is a great way to: - increases imagination and understanding - improves your listening skills - improves your own spoken accent - learn while on the move - reduce eye strain Now learn the vast amount of general knowledge available on Wikipedia through audio (audio article). You could even learn subconsciously by playing the audio while you are sleeping! If you are planning to listen a lot, you could try using a bone conduction headphone, or a standard speaker instead of an earphone. Listen on Google Assistant through Extra Audio: https://assistant.google.com/services/invoke/uid/0000001a130b3f91 Other Wikipedia audio articles at: https://www.youtube.com/results?search_query=wikipedia+tts Upload your own Wikipedia articles through: https://github.com/nodef/wikipedia-tts Speaking Rate: 0.9622272171499986 Voice name: en-US-Wavenet-E "I cannot teach anybody anything, I can only make them think." - Socrates SUMMARY ======= The SIAM Journal on Scientific Computing (SISC), formerly SIAM Journal on Scientific & Statistical Computing, is a scientific journal focusing on the research articles on numerical methods and techniques for scientific computation. It is published by the Society for Industrial and Applied Mathematics (SIAM). Jan S. Hesthaven is the current editor-in-chief, assuming the role in January 2016. The impact factor is currently around 2. This journal papers address computational issues relevant to solution of scientific or engineering problems and include computational results demonstrating the effectiveness of proposed techniques. They are classified into three categories: 1) Methods and Algorithms for Scientific Computing. 2) Computational Methods in Science and Engineering. 3) Software and High-Performance Computing. The first type papers focus on theoretical analysis, provided that relevance to applications in science and engineering is demonstrated. They are supposed to contain meaningful computational results and theoretical results or strong heuristics supporting the performance of new algorithms. The second type papers pay much attention to describing novel methodologies for solving a specific problem in computational science or engineering. The information about the application to orient other computational scientists is necessary. The third type papers more concern about novel design and development of computational methods and high-quality software, parallel algorithms, high-performance computing issues, new architectures, data analysis or visualization. However, the primary focus should be on computational methods that have huge impact on scientific or engineering problems. The modern numerical analysis can be dated back to 1947 when John von Neumann and Herman Goldstine wrote a pioneering paper, “Numerical Inverting of Matrices of High Order” (Bulletin of the AMS, Nov. 1947). This paper commonly is considered as one of the first papers to study rounding error and include discussion of what is called scientific computing nowadays. Although, from math history, numerical analysis has a longer and richer history, “modern” numerical analysis is defined by the mix of the programmable electronic computer, mathematical analysis, and the opportunity and need to solve large and complex problems in life applications. The need, such as, ballistics prediction, neutron transport, and nonsteady, multidimensional fluid dynamics pushed the development of computer and depended strongly on developments in numerical analysis and mathematical modeling.
Views: 2 wikipedia tts
Visualization Methods in the Mathematical Modelling of Interpolating Curves with Monotonic Curvature
 
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The talk was delivered at the conference "Geometric Analysis and Control Theory" held in Novosibirsk, Russia, 2016. My recent manuscripts: 1. Visualization of regions of monotonic curvature for interpolating extended sectrix of Maclaurin segments (published in Computer Aided Geometric Design) http://www.sciencedirect.com/science/article/pii/S0167839617301206 2. Two-point G1 Hermite interpolation in biangular coordinates, Journal of Computational and Applied Mathematics (published in the Journal of Computational and Applied Mathematics) http://www.sciencedirect.com/science/article/pii/S0377042715001107 3. Visual Perception, Quantity of Information Function and the Concept of the Quantity of Information Continuous Splines (published in Scientific Visualization) https://www.researchgate.net/publication/299159203_Visual_Perception_Quantity_of_Information_Function_and_the_Concept_of_the_Quantity_of_Information_Continuous_Splines
Problem 1 on Design of Shaft - Design of Machine
 
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Video Lecture on Problem 1 on Design of Shaft from Design of Shafts, Keys and Couplings Chapter of Design of Machine for Mechanical Engineering Students. Watch Previous of Design of Shafts, Keys and Couplings :- 1) Problem 2 on Shaft Based on Rigidity Criteria - Design of Machine - https://youtu.be/13x3IJgXMj8 2) Problem 1 on Shaft Based on Strength Criteria - Design of Machine - https://youtu.be/6XtPPMXZsTo Watch Next Videos of Design of Shafts, Keys and Couplings :- 1) Problem 2 on Design of Shaft - Design of Machine - https://youtu.be/AinLc64aBmM 2) Keys and Its Function - Design of Machine - https://youtu.be/M1Sq6Jui_sI Access the Complete Playlist of Design of Machine :- http://gg.gg/DOM-Design-of-Machine Access the Complete Playlist of Design of Shafts, Keys and Couplings :- http://gg.gg/Design-of-keys-shafts Subscribe to Ekeeda Channel to access more videos :- http://gg.gg/Subscribe-Now #DesignofShaftsKeysandCouplings #Cotterjoints #knucklejoints #DOM #DesignofMachine #MechanicalEngineering #EkeedaOnlineLectures #EkeedaVideoLectures #EkeedaVideoTutorial Thanks For Watching. You can follow and Like us on following social media. Website - http://ekeeda.com Parent Channel - https://www.youtube.com/c/ekeeda Facebook - https://www.facebook.com/ekeeda Twitter - https://twitter.com/Ekeeda_Video LinkedIn- https://www.linkedin.com/company-beta... Instgram - https://www.instagram.com/ekeeda_/ Pinterest - https://in.pinterest.com/ekeedavideo You can reach us on [email protected] Happy Learning : )
Views: 310142 Ekeeda
Mechanical Engineering GATE  1 Question  2015 notes, coaching, online test, study material, books
 
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Mechanical Engineering GATE 1 Question 2015 notes, coaching, online test, study material, books VISIT OUR WEBSITE https://www.souravsirclasses.com/ FOR COMPLETE LECTURES / STUDY MATERIALS /NOTES /GUIDANCE / PAST YEAR SOLVED +SAMPLE PAPERS /TRICKS /MCQ / SHORTCUT/ VIDEO LECTURES /LIVE + ONLINE CLASSES GIVE US A CALL / WHATS APP AT 9836793076 Also, find us at…. BLOGSPOT http://souravdas3366.blogspot.com/ SLIDES ON COURSES https://www.slideshare.net/Souravdas31 TWITTER https://twitter.com/souravdas3366 FACEBOOK https://www.facebook.com/Sourav-Sirs-... LINKED IN https://www.linkedin.com/in/sourav-da... GOOGLE PLUS https://plus.google.com/+souravdassou... GATE Exam Pattern 2018 The exam pattern of GATE 2018 contains details like the type of questions asked, total marks, marking scheme, and the number of question papers. Being familiar with GATE exam pattern 2018 will enable the candidate to prepare better as the candidate can then formulate separate strategies to tackle different question types. Two types of questions are asked in GATE - multiple-choice questions (MCQs) and numerical answer type (NAT) questions. As per the exam pattern of GATE 2018, the exam would be computer-based of three hours duration, comprising 65 questions. Last year, IIT Roorkee conducted GATE in online mode for 23 papers. The present exam conducting authority, IIT Guwahati, has not added a new paper or removed an existing one for the upcoming session. Candidates are allowed to sit for only one paper. During the online exam, the candidate will be given a computer, with questions being displayed randomly on the screen. The candidate must select the right answer for the questions for MCQs, while for the numerical type of questions, the candidate has to enter the numerical answer by using the mouse on a virtual keyboard. The GATE Online Application Processing System (GOAPS) website opened on August 31 for candidates to enroll, fill, and submit their applications. The last date to submit the online application was October 9, 2017 (8:00 p.m). Keep reading to learn in detail the exam pattern of GATE 2018. GATE 2018 Mock Tests have been released now. GATE 2018 (Graduate Aptitude Test in Engineering) is an national level entrance exam for admission to PG courses in the field of engineering and technology. Candidates can get admissions into M.Tech./Ph.D. programmes in IITs, IISc, IISERs and other reputed institutions through GATE score. Every year, GATE is organized by the seven zonal IITs and an IISc on rotational basis. This year, GATE exam is conducted by IIT, Guwahati. Apart from granting admission, the score of gate exam is also considered as one of the criteria for recruitment to government and private organizations working in technical fields. Aspirants can check here complete details about GATE 2018 Entrance Examination. GATE Syllabus for Mechanical Engineering 2018 - Candidates appearing for engineering entrance exam at post-graduation level can now check the syllabus of GATE 2018 for Mechanical Engineering for easy and better preparation. GATE 2018 syllabus for Mechanical Engineering will help the candidates know the topics section-wise from which questions will be asked in the exam. The GATE syllabus 2018 for Mechanical Engineering has been prescribed by IIT Guwahati, the exam conducting authority. The GATE syllabus for ME 2018 is divided into four sections – Engineering Mathematics, Applied Mechanics & Design, Fluid Mechanics & Thermal Sciences and Materials, Manufacturing & Industrial Engineering. GATE aspirants can follow the syllabus for Mechanical Engineering to not miss on any of the important topics related to the exam but also get their time for revision. GATE 2018 - How to Prepare for Mechanical Engineering (ME) How to prepare for Mechanical Engineering for GATEGATE 2018 - How to Prepare for Mechanical Engineering (ME): One of the top most coveted subjects that engineering aspirants want to pursue is Mechanical Engineering (ME). Along with its popularity, the programme also gives tough competition to the students who attempt for admission under the course. GATE 2018 – How to Prepare for Mechanical Engineering (ME) provides detailed information on the important step to take for preparation, GATE syllabus breakdown and important books to study. All GATE papers also consist of compulsory sections of Maths and General Aptitude along with English. The candidates are advised to not leave these sections for last minute preparation but to study it side by side with the main syllabus. A substantial amount of marks are carried by these sections which will help the candidates score more in the examination. The section of English and Aptitude will generally be easy and even Maths will not be extremely hard.
International Journal of Soft Computing, Mathematics and Control (IJSCMC)
 
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International Journal of Soft Computing, Mathematics and Control (IJSCMC) ISSN: 2201-4160 http://wireilla.com/ns/maths/ijscmc.html Scope & Topics The International Journal of Soft Computing, Mathematics and Control (IJSCMC) is a Quarterly peer-reviewed and refereed open access journal that publishes articles which contribute new results in all areas of Soft Computing, Pure, Applied and Numerical Mathematics and Control. The focus of this new journal is on all theoretical and numerical methods on soft computing, mathematics and control theory with applications in science and industry. The goal of this journal is to bring together researchers and practitioners from academia and industry to focus on latest topics of soft computing, pure, applied and numerical mathematics and control engineering, and establishing new collaborations in these areas . Authors are solicited to contribute to this journal by submitting articles that illustrate new algorithms, theorems, modelling results, research results, projects, surveying works and industrial experiences that describe significant advances in Soft Computing, Mathematics and Control Engineering Topics of interest include, but are not limited to the following:  Abstract Algebra and Applications Adaptive control  Agriculture, environment, health applications  Algorithms  Applications of modelling in science and engineering  Artificial Neural Networks (ANN)  Computational Complexity  Computer modelling Control theory Differential Geometry Digital control Discrete Mathematics Embedded systems Evolutionary algorithms Fault detection and isolation Feedback control Functional Analysis Fuzzy logic and applications Fuzzy set theory Genetic Algorithms Genetic algorithms and evolutionary computing  Graph Theory and Applications  Hybrid systems Industry, military, space applications Linear and nonlinear control systems Linear and Nonlinear Programming Markov Chains and Applications Mathematical modelling Model predictive control Networked control systems Neural networks and fuzzy logic Neuro-Fuzzy Control  Numerical Analysis  Numerical analysis and scientific computing  Operations Research  Optimal Control  Optimization and optimal control  Optimization Theory  Ordinary and Partial Differential Equations  Process control and instrumentation  Real and Complex Analysis  Real-time issues  Robust control  Scientific computing  Set Theory  Sliding mode control  Soft computing and control  Statistics  Stochastic control and filtering  Stochastic Modelling  System identification and control  Systems and automation  Topology and Analysis Paper Submission Authors are invited to submit papers for this journal through Submission system Submissions must be original and should not have been published previously or be under consideration for publication while being evaluated for this Journal. Contact Us Here's where you can reach us: [email protected] or [email protected]
Views: 28 Ijscmc Journal
Industrial Engineering & Management Journal | OMICS Publishing Group
 
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This video belongs to Industrial Engineering and Management which is concerned with the development, and evaluation of integrated systems of people, equipment, energy, materials, analysis and synthesis. This also includes the mathematical, physical and social sciences together with the principles and methods of engineering design to specify, predict, and evaluate the results to be obtained from such systems or processes. The journal provides an open access platform for the development and evaluation of financial distress prediction, operations management, safety engineering, value and supply chain management.Industrial Engineering & Management journal is an Open Access journal OMICS Publishing Group which provides an international platform for the communication of original research, ideas and developments in all areas of Industrial Engineering and Management. Its scope includes Formulation of production plan, Control of processes and products, Inventory control, Design of plant layout, Scheduling of machines, Construction project planning, Airlines operations, Hospital management, Transportation problems, Optimal use of natural resources etc. To access more information about Journal of Industrial Engineering & Management please follow OMICS Publishing Group's official page http://www.omicsgroup.org/journals/iemhome.php
International Journal of Soft Computing, Mathematics and Control (IJSCMC)
 
00:07
International Journal of Soft Computing, Mathematics and Control (IJSCMC) ISSN : 2201 -4160 http://wireilla.com/ns/maths/ijscmc.html Scope & Topics The International Journal of Soft Computing, Mathematics and Control (IJSCMC) is an open access journal that publishes articles which contribute new results in all areas of Soft Computing, Pure, Applied and Numerical Mathematics and Control. The focus of this new journal is on all theoretical and numerical methods on soft computing, mathematics and control theory with applications in science and industry. The goal of this journal is to bring together researchers and practitioners from academia and industry to focus on latest topics of soft computing, pure, applied and numerical mathematics and control engineering, and establishing new collaborations in these areas . Authors are solicited to contribute to this journal by submitting articles that illustrate new algorithms, theorems, modelling results, research results, projects, surveying works and industrial experiences that describe significant advances in Soft Computing, Mathematics and Control Engineering Topics of interest include, but are not limited to, the following: • Abstract Algebra and Applications • Adaptive control • Agriculture, environment, health applications • Algorithms • Applications of modelling in science and engineering • Artificial Neural Networks (ANN) • Computational Complexity • Computer modelling • Control theory • Differential Geometry • Digital control • Discrete Mathematics • Embedded systems • Evolutionary algorithms • Fault detection and isolation • Feedback control • Functional Analysis • Fuzzy logic and applications • Fuzzy set theory • Genetic Algorithms • Genetic algorithms and evolutionary computing • Graph Theory and Applications • Hybrid systems • Industry, military, space applications • Linear and nonlinear control systems • Linear and Nonlinear Programming • Markov Chains and Applications • Mathematical modelling • Model predictive control • Networked control systems • Neural networks and fuzzy logic • Neuro-Fuzzy Control • Numerical Analysis • Numerical analysis and scientific computing • Operations Research • Optimal Control • Optimization and optimal control • Optimization Theory • Ordinary and Partial Differential Equations • Process control and instrumentation • Real and Complex Analysis • Real-time issues • Robust control • Scientific computing • Set Theory • Sliding mode control • Soft computing and control • Statistics • Stochastic control and filtering • Stochastic Modelling • System identification and control • Systems and automation • Topology and Analysis Paper Submission Authors are invited to submit papers for this journal through E-mail:[email protected] or [email protected] Submissions must be original and should not have been published previously or be under consideration for publication while being evaluated for this Journal. For paper format download the template in this page. For other details please visit http://wireilla.com/ns/maths/ijscmc.html
Views: 154 IJSCMC Journal
SIAM Journal on Scientific Computing | Wikipedia audio article
 
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This is an audio version of the Wikipedia Article: https://en.wikipedia.org/wiki/SIAM_Journal_on_Scientific_Computing Listening is a more natural way of learning, when compared to reading. Written language only began at around 3200 BC, but spoken language has existed long ago. Learning by listening is a great way to: - increases imagination and understanding - improves your listening skills - improves your own spoken accent - learn while on the move - reduce eye strain Now learn the vast amount of general knowledge available on Wikipedia through audio (audio article). You could even learn subconsciously by playing the audio while you are sleeping! If you are planning to listen a lot, you could try using a bone conduction headphone, or a standard speaker instead of an earphone. Listen on Google Assistant through Extra Audio: https://assistant.google.com/services/invoke/uid/0000001a130b3f91 Other Wikipedia audio articles at: https://www.youtube.com/results?search_query=wikipedia+tts Upload your own Wikipedia articles through: https://github.com/nodef/wikipedia-tts Speaking Rate: 0.9883480637781323 Voice name: en-AU-Wavenet-B "I cannot teach anybody anything, I can only make them think." - Socrates SUMMARY ======= The SIAM Journal on Scientific Computing (SISC), formerly SIAM Journal on Scientific & Statistical Computing, is a scientific journal focusing on the research articles on numerical methods and techniques for scientific computation. It is published by the Society for Industrial and Applied Mathematics (SIAM). Jan S. Hesthaven is the current editor-in-chief, assuming the role in January 2016. The impact factor is currently around 2. This journal papers address computational issues relevant to solution of scientific or engineering problems and include computational results demonstrating the effectiveness of proposed techniques. They are classified into three categories: 1) Methods and Algorithms for Scientific Computing. 2) Computational Methods in Science and Engineering. 3) Software and High-Performance Computing. The first type papers focus on theoretical analysis, provided that relevance to applications in science and engineering is demonstrated. They are supposed to contain meaningful computational results and theoretical results or strong heuristics supporting the performance of new algorithms. The second type papers pay much attention to describing novel methodologies for solving a specific problem in computational science or engineering. The information about the application to orient other computational scientists is necessary. The third type papers more concern about novel design and development of computational methods and high-quality software, parallel algorithms, high-performance computing issues, new architectures, data analysis or visualization. However, the primary focus should be on computational methods that have huge impact on scientific or engineering problems. The modern numerical analysis can be dated back to 1947 when John von Neumann and Herman Goldstine wrote a pioneering paper, “Numerical Inverting of Matrices of High Order” (Bulletin of the AMS, Nov. 1947). This paper commonly is considered as one of the first papers to study rounding error and include discussion of what is called scientific computing nowadays. Although, from math history, numerical analysis has a longer and richer history, “modern” numerical analysis is defined by the mix of the programmable electronic computer, mathematical analysis, and the opportunity and need to solve large and complex problems in life applications. The need, such as, ballistics prediction, neutron transport, and nonsteady, multidimensional fluid dynamics pushed the development of computer and depended strongly on developments in numerical analysis and mathematical modeling.
Views: 2 Subhajit Sahu
[#1] Introduction to Cost Accounting - (COST SHEET) :-by kauserwise
 
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Introduction to Cost Accounting - (COST SHEET) Accounting tutorial, Elements of costs, Material cost, Labour cost, other expenses, Direct material cost, indirect material cost, direct labour cost, indirect labour cost, direct other expenses, indirect other expenses. Over heads. Factory over heads, office and administrative over heads, selling and distribution over heads. To watch more tutorials pls visit: www.youtube.com/c/kauserwise * Financial Accounts * Corporate accounts * Cost and Management accounts * Operations Research Playlists: For Financial accounting - https://www.youtube.com/playlist?list=PLabr9RWfBcnojfVAucCUHGmcAay_1ov46 For Cost and Management accounting - https://www.youtube.com/playlist?list=PLabr9RWfBcnpgUjlVR-znIRMFVF0A_aaA For Corporate accounting - https://www.youtube.com/playlist?list=PLabr9RWfBcnorJc6lonRWP4b39sZgUEhx For Operations Research - https://www.youtube.com/playlist?list=PLabr9RWfBcnoLyXr4Y7MzmHSu3bDjLvhu
Views: 789564 Kauser Wise
Tutorial - Browsing SIAM Publications
 
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This video will help you learn how to browse content on SIAM's platform for journals and ebooks at epubs.siam.org.
International Journal of Soft Computing, Mathematics and Control (IJSCMC)
 
00:15
International Journal of Soft Computing, Mathematics and Control (IJSCMC) ISSN: 2201 – 4160 http://wireilla.com/ns/maths/ijscmc.html Scope & Topics The International Journal of Soft Computing, Mathematics and Control (IJSCMC) is a Quarterly peer-reviewed and refereed open access journal that publishes articles which contribute new results in all areas of Soft Computing, Pure, Applied and Numerical Mathematics and Control. The focus of this new journal is on all theoretical and numerical methods on soft computing, mathematics and control theory with applications in science and industry. The goal of this journal is to bring together researchers and practitioners from academia and industry to focus on latest topics of soft computing, pure, applied and numerical mathematics and control engineering, and establishing new collaborations in these areas. Authors are solicited to contribute to this journal by submitting articles that illustrate new algorithms, theorems, modelling results, research results, projects, surveying works and industrial experiences that describe significant advances in Soft Computing, Mathematics and Control Engineering. Topics of interest include, but are not limited to, the following: • Abstract Algebra and Applications • Adaptive control • Agriculture, environment, health applications • Algorithms • Applications of modelling in science and engineering • Artificial Neural Networks (ANN) • Computational Complexity • Computer modelling • Control theory • Differential Geometry • Digital control • Discrete Mathematics • Embedded systems • Evolutionary algorithms • Fault detection and isolation • Feedback control • Functional Analysis • Fuzzy logic and applications • Fuzzy set theory • Genetic Algorithms • Genetic algorithms and evolutionary computing • Graph Theory and Applications • Hybrid systems • Industry, military, space applications • Linear and nonlinear control systems • Linear and Nonlinear Programming • Markov Chains and Applications • Mathematical modelling • Model predictive control • Networked control systems • Neural networks and fuzzy logic • Neuro-Fuzzy Control • Numerical Analysis • Numerical analysis and scientific computing • Operations Research • Optimal Control • Optimization and optimal control • Optimization Theory • Ordinary and Partial Differential Equations • Process control and instrumentation • Real and Complex Analysis • Real-time issues • Robust control • Scientific computing • Set Theory • Sliding mode control • Soft computing and control • Statistics • Stochastic control and filtering • Stochastic Modelling • System identification and control • Systems and automation • Topology and Analysis Paper Submission Authors are invited to submit papers for this journal through the Submission System. Submissions must be original and should not have been published previously or be under consideration for publication while being evaluated for this Journal. For paper format download the template in this page. For other details please visit: http://wireilla.com/ns/maths/ijscmc.html
Views: 22 IJSCMC Journal
Society for Industrial and Applied Mathematics | Wikipedia audio article
 
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This is an audio version of the Wikipedia Article: https://en.wikipedia.org/wiki/Society_for_Industrial_and_Applied_Mathematics 00:01:06 1 Membership 00:02:20 2 Activity groups 00:03:27 3 Publications 00:03:36 3.1 Journals 00:06:24 3.2 Books 00:07:13 3.3 Conferences 00:08:04 4 Prizes and recognition 00:10:56 4.1 John von Neumann Lecture 00:11:32 4.2 MathWorks Mega Math (Msup3/sup) Challenge 00:12:10 5 Leadership 00:12:31 6 See also Listening is a more natural way of learning, when compared to reading. Written language only began at around 3200 BC, but spoken language has existed long ago. Learning by listening is a great way to: - increases imagination and understanding - improves your listening skills - improves your own spoken accent - learn while on the move - reduce eye strain Now learn the vast amount of general knowledge available on Wikipedia through audio (audio article). You could even learn subconsciously by playing the audio while you are sleeping! If you are planning to listen a lot, you could try using a bone conduction headphone, or a standard speaker instead of an earphone. Listen on Google Assistant through Extra Audio: https://assistant.google.com/services/invoke/uid/0000001a130b3f91 Other Wikipedia audio articles at: https://www.youtube.com/results?search_query=wikipedia+tts Upload your own Wikipedia articles through: https://github.com/nodef/wikipedia-tts Speaking Rate: 0.9412719438621999 Voice name: en-US-Wavenet-D "I cannot teach anybody anything, I can only make them think." - Socrates SUMMARY ======= The Society for Industrial and Applied Mathematics (SIAM) is an academic association dedicated to the use of mathematics in industry. SIAM is the world's largest professional association devoted to applied mathematics, and roughly two-thirds of its membership resides within the United States. Founded in 1951, the organization began holding annual national meetings in 1954, and now hosts conferences, publishes books and scholarly journals, and engages in lobbying in issues of interest to its membership. The focus for the society is applied, computational, and industrial mathematics, and the society often promotes its acronym as "Science and Industry Advance with Mathematics". Members include engineers, scientists, and mathematicians, both those employed in academia and those working in industry. The society supports educational institutions promoting applied mathematics. SIAM is one of the four member organizations of the Joint Policy Board for Mathematics.
Views: 3 Subhajit Sahu
Applied mathematics
 
10:00
Applied mathematics is a branch of mathematics that concerns itself with mathematical methods that are typically used in science, engineering, business, and industry. Thus, "applied mathematics" is a mathematical science with specialized knowledge. The term "applied mathematics" also describes the professional specialty in which mathematicians work on practical problems; as a profession focused on practical problems, applied mathematics focuses on the formulation and study of mathematical models. In the past, practical applications have motivated the development of mathematical theories, which then became the subject of study in pure mathematics, where mathematics is developed primarily for its own sake. Thus, the activity of applied mathematics is vitally connected with research in pure mathematics. This video is targeted to blind users. Attribution: Article text available under CC-BY-SA Creative Commons image source in video
Views: 3116 Audiopedia
Feasible Directions J PELFORT
 
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G.Zoutendijk:"Nonlinear programming a numerical survey". Journal of society of industrial applied mathematics. Control theory and applications Vol.4. Pages 194 onwards (1966) Please do solve also this problem using the saddle point conditions of the lagrangian by means of the dual function.Thanks. Y. Smeers, “Generalized reduced gradient method as an extension of feasible direction methods,” Journal of Optimization Theory and Applications, vol. 22, no. 2, pp. 209–226, 1977. C. Audet, P. Hansen, F. Messine, and J. Xiong, “The largest small octagon,” Journal of Combinatorial Theory. Series A, vol. 98, no. 1, pp. 46–59, 2002
Lecture-7-Design of Experiments
 
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Mechanical Measurements&Metrology
Views: 81765 nptelhrd
International Journal of Soft Computing, Mathematics and Control (IJSCMC)
 
00:09
International Journal of Soft Computing, Mathematics and Control (IJSCMC) ISSN: 2201 – 4160 http://wireilla.com/ns/maths/ijscmc.html Scope & Topics The International Journal of Soft Computing, Mathematics and Control (IJSCMC) is a Quarterly peer-reviewed and refereed open access journal that publishes articles which contribute new results in all areas of Soft Computing, Pure, Applied and Numerical Mathematics and Control. The focus of this new journal is on all theoretical and numerical methods on soft computing, mathematics and control theory with applications in science and industry. The goal of this journal is to bring together researchers and practitioners from academia and industry to focus on latest topics of soft computing, pure, applied and numerical mathematics and control engineering, and establishing new collaborations in these areas. Authors are solicited to contribute to this journal by submitting articles that illustrate new algorithms, theorems, modelling results, research results, projects, surveying works and industrial experiences that describe significant advances in Soft Computing, Mathematics and Control Engineering. Topics of interest include, but are not limited to, the following: • Abstract Algebra and Applications • Adaptive control • Agriculture, environment, health applications • Algorithms • Applications of modelling in science and engineering • Artificial Neural Networks (ANN) • Computational Complexity • Computer modelling • Control theory • Differential Geometry • Digital control • Discrete Mathematics • Embedded systems • Evolutionary algorithms • Fault detection and isolation • Feedback control • Functional Analysis • Fuzzy logic and applications • Fuzzy set theory • Genetic Algorithms • Genetic algorithms and evolutionary computing • Graph Theory and Applications • Hybrid systems • Industry, military, space applications • Linear and nonlinear control systems • Linear and Nonlinear Programming • Markov Chains and Applications • Mathematical modelling • Model predictive control • Networked control systems • Neural networks and fuzzy logic • Neuro-Fuzzy Control • Numerical Analysis • Numerical analysis and scientific computing • Operations Research • Optimal Control • Optimization and optimal control • Optimization Theory • Ordinary and Partial Differential Equations • Process control and instrumentation • Real and Complex Analysis • Real-time issues • Robust control • Scientific computing • Set Theory • Sliding mode control • Soft computing and control • Statistics • Stochastic control and filtering • Stochastic Modelling • System identification and control • Systems and automation • Topology and Analysis Paper Submission Authors are invited to submit papers for this journal through the Submission System. Submissions must be original and should not have been published previously or be under consideration for publication while being evaluated for this Journal. For paper format download the template in this page. For other details please visit: http://wireilla.com/ns/maths/ijscmc.html
Views: 81 IJSCMC Journal
Static equivalent load of rolling contact bearing,part=11,md-1
 
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NOTESGEN ALSO AVILABLE ON PLAYSTORE........ MY NOTES LINK:-https://www.notesgen.com/note/48665/laws-of-thermodynamic.html https://www.notesgen.com/user/home?tab=notes
Views: 12318 4B Engineers
Module 1 - Introduction 1
 
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Module 1 - Introduction 1 Prof. Abhijit Sarkar Department Of Mechanical Engineering IIT Madras
GTAC 2010: Automatically Generating Test Data for Web Applications
 
01:12:45
Google Test Automation Conference 2010 October 28-29, 2010 Automatically Generating Test Data for Web Applications Presented by Jeff Offutt, Professor of Software Engineering, Volgenau School of Information and Technology, George Mason University. Abstract: The past decade has seen exciting changes in how we develop and test software. The need for reliability has grown enormously: The user base is expanding, technological advances put software into more mission-critical locations, software continues to grow in complexity, and software must be correct to be secure. However, despite the fact that many test techniques and criteria invented by researchers are now mature enough to be ready for industrial use, few have been adopted by industry. In particular, one of the hardest problems in software testing is automatic generation of test inputs; a problem with many sophisticated solutions from the research community but for which most industrial tools only use primitive solutions. This talk will discuss automatic test data generation in the context of unit / developer testing (dynamic domain reduction) and system testing of web applications (bypass testing), and explore some of the difficulties in transitioning research results in software testing to industrial use. Speaker Bio: Dr. Jeff Offutt is Professor of Software Engineering at George Mason University. He has invented numerous test strategies, published over 120 refereed research papers, and is co-author of the textbook Introduction to Software Testing. He is editor-in-chief of Wiley's journal of Software Testing, Verification and Reliability; steering committee chair for the IEEE International Conference on Software Testing, Verification, and Validation; and program chair for ICST 2009. He has consulted with numerous companies on software testing, usability, and software intellectual property issues. Offutt is on the web at http://www.cs.gmu.edu/~offutt/. Talk Slides: https://docs.google.com/leaf?id=0B4fT-BFGDnQkNWU5ZjI5NDMtMzBlNS00YTMxLWFmMTctMTI4NjA4YzhlOTFm
Views: 9622 GoogleTechTalks
IJSCMC
 
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International Journal of Soft Computing, Mathematics and Control (IJSCMC) ISSN : 2201 - 4160 Scope & Topics The International Journal of Soft Computing, Mathematics and Control (IJSCMC) is an open access journal that publishes articles which contribute new results in all areas of Soft Computing, Pure, Applied and Numerical Mathematics and Control. The focus of this new journal is on all theoretical and numerical methods on soft computing, mathematics and control theory with applications in science and industry. The goal of this journal is to bring together researchers and practitioners from academia and industry to focus on latest topics of soft computing, pure, applied and numerical mathematics and control engineering, and establishing new collaborations in these areas . Authors are solicited to contribute to this journal by submitting articles that illustrate new algorithms, theorems, modelling results, research results, projects, surveying works and industrial experiences that describe significant advances in Soft Computing, Mathematics and Control Engineering Topics of interest include, but are not limited to, the following: Abstract Algebra and Applications Adaptive control Agriculture, environment, health applications Algorithms Applications of modelling in science and engineering Artificial Neural Networks (ANN) Computational Complexity Computer modelling Control theory Differential Geometry Digital control Discrete Mathematics Embedded systems Evolutionary algorithms Fault detection and isolation Feedback control Functional Analysis Fuzzy logic and applications Fuzzy set theory Genetic Algorithms Genetic algorithms and evolutionary computing Graph Theory and Applications Hybrid systems Industry, military, space applications Linear and nonlinear control systems Linear and Nonlinear Programming Markov Chains and Applications Mathematical modelling Model predictive control Networked control systems Neural networks and fuzzy logic Neuro-Fuzzy Control Numerical Analysis Numerical analysis and scientific computing Operations Research Optimal Control Optimization and optimal control Optimization Theory Ordinary and Partial Differential Equations Process control and instrumentation Real and Complex Analysis Real-time issues Robust control Scientific computing Set Theory Sliding mode control Soft computing and control Statistics Stochastic control and filtering Stochastic Modelling System identification and control Systems and automation Topology and Analysis http://wireilla.com/ns/maths/ijscmc.html
Views: 27 IJSCMC Journal
Mod-01 Lec-30 Factorial Design of Experiments – Part A
 
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Statistics for Experimentalists by Dr. A. Kannan,Department of Chemical Engineering,IIT Madras.For more details on NPTEL visit http://nptel.ac.in
Views: 14192 nptelhrd
CAM Colloquium - Gilbert Strang: Tridiagonal Matrices in Four Applications
 
01:03:38
Friday, November 22, 2013 Tridiagonal matrices appear almost everywhere (like 2nd order differential operators). This talk grew out of four very different applications: 1. (positive definite) Completion to maximum determinant=maximum entropy 2. Inverses and low rank submatrices 3. Exponentials (heat eqn, wave eqn, communication on graphs) 4. Constant ratio of A^n _ik / A^n _ki (and eigenvalues of A) Bio: Gilbert Strang is the MathWorks Professor of Mathematics as of 2011, the first holder of this faculty chair. He came to MIT upon completing the Ph.D. from UCLA in 1959 under the direction of Peter Henrici. He received the S.B. from MIT in 1955, and the B.A. and M.A. as a Rhodes Scholar from Oxford University in 1957. He joined the MIT mathematics faculty in 1962, professor in 1970. Professor Strang's research focuses on mathematical analysis, linear algebra and PDEs. He has written textbooks on linear algebra, computational science, finite elements, wavelets, GPS, and calculus. His video lectures are on MIT's OpenCourseWare, and he is on the editorial board of numerous journals, and is the founder of Wellesley-Cambridge Press. His service to the academic community is extensive. Professor Strang served as President of SIAM, 1999-00, Chair of the Joint Policy Board for Mathematics, 1999, Chair of the U.S. National Committee on Mathematics, 2002, and member of the Abel Prize Committee, 2003-05. In the Mathematics Department, he was Chair of the Pure Mathematics Committee, 1975-79. Professor Strang has received distinctions for his research, service and teaching; among them: the Chauvenet Prize, 1976; the Award for Distinguished Service, SIAM, 2003; the Graduate School Teaching Award, MIT, 2003; the Von Neumann Prize Medal of the U.S. Assoc. for Computational Mechanics, 2005; the Lester R. Ford Prize, MAA, 2005; the Franklin and Deborah Tepper Haimo Prize, MAA, 2006; and the Henrici and Su Buchin Prizes of the International Congress of Industrial & Applied Mathematics, 2007. Professor Strang is a Member of the National Academy of Sciences and a Fellow of the American Academy of Arts & Sciences. He is an Honorary Fellow of Balliol College, Oxford.
IJSCMC
 
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International Journal of Soft Computing, Mathematics and Control (IJSCMC) ISSN : 2201-4160 Scope & Topics The International Journal of Soft Computing, Mathematics and Control (IJSCMC) is an open access journal that publishes articles which contribute new results in all areas of Soft Computing, Pure, Applied and Numerical Mathematics and Control. The focus of this new journal is on all theoretical and numerical methods on soft computing, mathematics and control theory with applications in science and industry. The goal of this journal is to bring together researchers and practitioners from academia and industry to focus on latest topics of soft computing, pure, applied and numerical mathematics and control engineering, and establishing new collaborations in these areas . Authors are solicited to contribute to this journal by submitting articles that illustrate new algorithms, theorems, modelling results, research results, projects, surveying works and industrial experiences that describe significant advances in Soft Computing, Mathematics and Control Engineering Topics of interest include, but are not limited to, the following: Abstract Algebra and Applications Adaptive control Agriculture, environment, health applications Algorithms Applications of modelling in science and engineering Artificial Neural Networks (ANN) Computational Complexity Computer modelling Control theory Differential Geometry Digital control Discrete Mathematics Embedded systems Evolutionary algorithms Fault detection and isolation Feedback control Functional Analysis Fuzzy logic and applications Fuzzy set theory Genetic Algorithms Genetic algorithms and evolutionary computing Graph Theory and Applications Hybrid systems Industry, military, space applications Linear and nonlinear control systems Linear and Nonlinear Programming Markov Chains and Applications Mathematical modelling Model predictive control Networked control systems Neural networks and fuzzy logic Neuro-Fuzzy Control Numerical Analysis Numerical analysis and scientific computing Operations Research Optimal Control Optimization and optimal control Optimization Theory Ordinary and Partial Differential Equations Process control and instrumentation Real and Complex Analysis Real-time issues Robust control Scientific computing Set Theory Sliding mode control Soft computing and control Statistics Stochastic control and filtering Stochastic Modelling System identification and control Systems and automation Topology and Analysis
Views: 44 IJSCMC Journal
CAM Colloquium - Robert Vanderbei: Numerical Optimization Applied to Space-Related Problems
 
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Friday, November 18, 2016 CAM Notable Alumni Lecture Series Techniques for numerical optimization have been wildly successful in an amazingly broad range of applications. In the talk, I will go into some detail about two particular applications that are both “space related”. The first application is to the design of telescopes that can achieve unprecedentedly high-contrast making it possible to directly image extra-solar planets even though their host star is billions of times brighter and has a very small angular separation from the planet. The second application is to use optimization to find new, interesting, and often exotic solutions to the n-body problem. Finding such orbits could inform us as to what type of exoplanetary systems might exist around other nearby stars. In these two applications, I will explain enough of the physics to make the optimization problem clear and then I will show some of the results we have been able to find using state-of-the-art numerical optimization algorithms. Bio Robert Vanderbei is a Professor in the Department of Operations Research and Financial Engineering at Princeton University. From 2005 to 2012, he was chair of the department. In addition, he holds courtesy appointments in the Departments of Mathematics, Astrophysics, Computer Science, and Mechanical and Aerospace Engineering. He is also a member of the Program in Applied and Computational Mathematics, is a founding member of the Bendheim Center for Finance, and a former Director of the Engineering and Management Systems Program. Beyond Princeton, he is a Fellow of the American Mathematical Society (AMS), the Society for Applied and Industrial Mathematics (SIAM) and the Institute for Operations Research and the Management Sciences (INFORMS). Within INFORMS, he has served as President of the Optimization Society and the Computing Society. He also serves on the Advisory Board for the journal Mathematical Programming Computation. He has degrees in Chemistry (B.S.), Operations Research and Statistics (M.S.), and Applied Mathematics (M.S., Ph.D.). After receiving his Ph.D. from Cornell (1981), he was an NSF postdoc at the Courant Institute for Mathematical Sciences (NYU) for one year, then a lecturer in the Mathematics Department at the University of Illinois-Urbana/Champaign for two years before joining Bell Labs in 1984. At Bell Labs he made fundamental contributions to the field of optimization and holds three patents for his inventions. In 1990, he left Bell Labs to join Princeton University where he has been since. In addition to hundreds of research papers, he has written three books: (i) a textbook entitled Linear Programming: Foundations and Extensions now in its fourth edition and published by Springer, (ii) Sizing Up The Universe, an introductory astronomy book written jointly with J. Richard Gott and published by National Geographic, and (iii) Real and Convex Analysis, a textbook written jointly with Erhan Cinlar and published by Springer.
IJSCMC
 
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The International Journal of Soft Computing, Mathematics and Control (IJSCMC) ISSN : 2201 - 4160 http://wireilla.com/ns/maths/ijscmc.html Scope & Topics The International Journal of Soft Computing, Mathematics and Control (IJSCMC) is an open access journal that publishes articles which contribute new results in all areas of Soft Computing, Pure, Applied and Numerical Mathematics and Control. The focus of this new journal is on all theoretical and numerical methods on soft computing, mathematics and control theory with applications in science and industry. The goal of this journal is to bring together researchers and practitioners from academia and industry to focus on latest topics of soft computing, pure, applied and numerical mathematics and control engineering, and establishing new collaborations in these areas . Authors are solicited to contribute to this journal by submitting articles that illustrate new algorithms, theorems, modelling results, research results, projects, surveying works and industrial experiences that describe significant advances in Soft Computing, Mathematics and Control Engineering Topics of interest include, but are not limited to, the following: • Abstract Algebra and Applications • Adaptive control • Agriculture, environment, health applications • Algorithms • Applications of modelling in science and engineering • Artificial Neural Networks (ANN) • Computational Complexity • Computer modelling • Control theory • Differential Geometry • Digital control • Discrete Mathematics • Embedded systems • Evolutionary algorithms • Fault detection and isolation • Feedback control • Functional Analysis • Fuzzy logic and applications • Fuzzy set theory • Genetic Algorithms • Genetic algorithms and evolutionary computing • Graph Theory and Applications • Hybrid systems • Industry, military, space applications • Linear and nonlinear control systems • Linear and Nonlinear Programming • Markov Chains and Applications • Mathematical modelling • Model predictive control • Networked control systems • Neural networks and fuzzy logic • Neuro-Fuzzy Control • Numerical Analysis • Numerical analysis and scientific computing • Operations Research • Optimal Control • Optimization and optimal control • Optimization Theory • Ordinary and Partial Differential Equations • Process control and instrumentation • Real and Complex Analysis • Real-time issues • Robust control • Scientific computing • Set Theory • Sliding mode control • Soft computing and control • Statistics • Stochastic control and filtering • Stochastic Modelling • System identification and control • Systems and automation • Topology and Analysis
Views: 31 IJSCMC Journal
International Journal of Chaos, Control, Modelling and Simulation (IJCCMS)
 
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International Journal of Chaos, Control, Modelling and Simulation (IJCCMS) http://airccse.org/journal/ijccms/index.html ISSN : 2319 - 5398 [Online] ; 2319 - 8990 [Print]. Aims and Scope: The International Journal of Chaos, Control, Modelling and Simulation is a bi-monthly open access peer-reviewed journal that publishes articles which contribute new results in all areas of Chaos Theory, Control Systems, Scientific Modelling and Computer Simulation. In the last few decades, chaos theory has found important applications in secure communication devices and secure data encryption. Control methods are very useful in several applied areas like Chaos, Automation, Communication, Robotics, Power Systems, and Biomedical Instrumentation. The journal focuses on all technical and practical aspects of Chaos, Control, Modelling and Simulation. The goal of this journal is to bring together researchers and practitioners from academia and industry to focus on chaotic systems and applications, control theory, process control, automation, modelling concepts, computational methods, computer simulation and establishing new collaborations in these areas.. Authors are solicited to contribute to this journal by submitting articles that illustrate research results, projects, surveying works and industrial experiences that describe significant advances in Chaos Theory, Control Systems, Modelling and Simulation Techniques. Areas and subareas of interest include (but are not limited to): Adaptive control Advanced chaos theory Advanced computing techniques Algorithms, modelling and simulation Applications of chaos in science and engineering Artificial intelligence Artificial neural networks Automation and mobile robots Bioinformatics Biological modelling Biological systems and models Chaotic systems Chaos modelling Circuit realization of chaotic systems Control of chaotic systems Cloud computing Communication engineering Computational biology Computational fluid dynamics Computer science Control devices & instruments Control theory Data mining Data Structures and Algorithms Scientific computing Secure communication devices Stochastic modelling and control Data visualization Digital control Digital image processing Digital signal processing Dynamical systems and stability theory Embedded systems and control Evolutionary techniques in engineering Flight control and surveillance systems Fuzzy logic control Genetic algorithms and applications Hyperchaotic systems Industrial applications of control Intelligent systems Information theory Linear and nonlinear programming Linear control theory Materials science Mathematical control theory Mathematical modelling and applications Measurement systems Modelling and control Nonlinear control theory Numerical methods in control systems Optimization and optimal control Parallel computing Process control and automation Real-time systems Real and complex analysis Robust control Soft computing techniques Paper Submission Authors are invited to submit papers for this journal through E-mail: [email protected] Submissions must be original and should not have been published previously or be under consideration for publication while being evaluated for this Journal. For other details please visit http://airccse.org/journal/ijccms/index.html
Views: 33 Lauren Riley
1. Introduction to Statistics
 
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*NOTE: This video was recorded in Fall 2017. The rest of the lectures were recorded in Fall 2016, but video of Lecture 1 was not available. MIT 18.650 Statistics for Applications, Fall 2016 View the complete course: https://ocw.mit.edu/18-650F16 Instructor: Philippe Rigollet In this lecture, Prof. Rigollet talked about the importance of the mathematical theory behind statistical methods and built a mathematical model to understand the accuracy of the statistical procedure. License: Creative Commons BY-NC-SA More information at https://ocw.mit.edu/terms More courses at https://ocw.mit.edu
Views: 397677 MIT OpenCourseWare
RCE 47: ITAPS Interoperable Tools for Advanced Petascale Simulations
 
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Download the entire show at: http://www.rce-cast.com/Podcast/rce-47-itaps-interoperable-tools-for-advanced-petascale-simulations.html Carl Ollivier-Gooch is a professor in the department of mechanical engineering at The University of British Columbia, where he is a member of UBC's Institute for Applied Mathematics and Institute for Computing, Information, and Cognitive Systems. His research interests are in high-order numerical methods for aircraft aerodynamics and in unstructured mesh generation. He has also won national and provincial awards for research that applies aerodynamics to the pulp and paper industry. He is a member of the American Society of Mechanical Engineers, the American Institute for Aeronautics and Astronautics, and the Society for Industrial and Applied Mathematics. Timothy Tautges is a Computational Scientist in the Mathematics and Computer Science division at Argonne National Laboratory. He also holds an appointment as Adjunct Professor in Engineering Physics at the University of Wisconsin-Madison. Tim was trained in nuclear engineering with an emphasis on parallel computing. After receiving his Ph.D. from the University of Wisconsin (thesis topic: parallel nuclear severe accident simulation), he worked on severe accident modeling at the CEC Joint Research Center, Ispra, Italy, and Sandia National Laboratories. Later he joined and eventually lead the Cubit mesh generation project at Sandia. Tim's research interests include unstructured hexahedral mesh generation and component-based application of mesh and geometry in scientific computing applications. He is responsible for the development and open-source releases of the Common Geometry Module (CGM) and a Mesh-Oriented datABase (MOAB). After moving to Argonne in 2006, Tim took on the responsibility for mesh and geometry infrastructure for the SHARP reactor simulation project. He also is the Argonne Principle Investigator on the SciDAC ITAPS project. Mark S. Shephard is the Samuel A. and Elisabeth C. Johnson, Jr. Professor of Engineering, and the director of the Scientific Computation Research Center at Rensselaer Polytechnic Institute. He holds joint appointments in the departments of Mechanical, Aerospace and Nuclear Engineering; Civil and Environmental Engineering; and Computer Science. Dr. Shephard has published over 250 papers. He is a fellow in and the past President of the US Association for Computational Mechanics, a fellow and member of the General Council of the International Association for Computational Mechanics, a fellow of ASME and an Associate Fellow of AIAA. He is the editor of Engineering with Computers and on the editorial board of six computational mechanics journals. He is a co-founder of Simmetrix Inc., a company dedicated to the technologies that enable simulation-based engineering.
Views: 275 Brock Palen
My Contributions to Computational Physics - Philip Emeagwali
 
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Philip Emeagwali Lecture 180914-3 33 Biggest Advance Since Newton, Galileo—Part 2 Philip Emeagwali Lecture 180914-3 Visit http://emeagwali.com for complete transcripts of 100+ lectures. Video: https://YouTube.com/emeagwali Podcast: https://SoundCloud.com/emeagwali 33.1.1 How I Began Supercomputing In the supercomputer textbooks of the 1960s through ‘80s, Amdahl’s Law cemented the theory that solving the toughest problems arising in modern calculus and in extreme-scale computational physics and solving them efficiently and in parallel across eight, or more, processors is impossible. Put differently, Amdahl’s Law, rendered sequential processing supercomputing as unchallengeable and rendered parallel processing supercomputing as a huge waste of everybody’s time. The ominous shadow that was cast by Amdahl’s Law over the modern supercomputer was the reason that 25,000 vector processing supercomputers scientists of the late 1980s were only conducting table-top experiments on only one processor. Back in the 1970s and ‘80s, I—Philip Emeagwali—had my doubts about Amdahl’s Law. For that reason, I was the only fulltime programmer of the most massively parallel processing supercomputer ever assembled. My grand challenge was to experimentally discover the unheard of speedup that will make the new computer super. I was the only person that was executing 65,536 experiments across as many processors. My supercomputing quest was to make the fictional factual. In 1989, I was in the news headlines because I made the fictional massively parallel processing supercomputer factual. I hypothesized the parallel processing supercomputer back in 1974 and made the technology factual by constructively reducing my ensemble of 65,536 processors to the precursor of the modern supercomputer that is also an ensemble of millions upon millions of processors. I invented the parallel processing supercomputer and I invented the technology on the Fourth of July 1989 in Los Alamos, New Mexico, United States. I began supercomputing from the realm of science fiction. I began supercomputing from the realm of an ensemble of fictionalized two-to-power sixteen processors that were married together as one cohesive internet and married by sixteen times two-to-power sixteen email wires that encircled the globe in a sixteen-dimensional hyperspace. I began supercomputing not as a supercomputer scientist, per se, but as a mathematician that was more at home with non-Euclidean geometry and topology than with a single processor. I began supercomputing as a mathematical physicist that was exposed to the four-dimensional space time-continuum of Albert Einstein’s Theory of Relativity. 33.1.2 Early Controversies in the Supercomputer World In the decades of the 1960s through ‘80s, parallel processing was the subject of a titanic battle between the majority who believed that all supercomputers should be powered by a single, isolated processor and the minority who believed that all supercomputers should be powered by an ensemble of thousands, or maybe millions, of processors. In the 1970s and ‘80s, the parallel processing supercomputer was embroiled in controversies. Countless ridiculing statements were made about the technology. That was the reason only one computational mathematician attended my public lecture on parallel processing that took place in November 1982 and took place in a lecture auditorium that was a short walk from The White House, Washington, D.C. 33.1.3 A Hero’s Welcome, After 9-Year Rejection Nine years later, my lecture on parallel processing supercomputing that I gave on July 8, 1991 in Washington, D.C. was before a standing room only audience of research computational mathematicians that were attending the largest international congress of mathematics. The top one percent of mathematicians, or ten thousand research mathematicians, read about my mathematical inventions and my contributions of new calculus and new algebra to mathematical knowledge and read about my mathematical inventions through the cover story of the May 1990 issue of the SIAM News, that is the bi-monthly news journal of record of the mathematics community that is published by the Society of Industrial and Applied Mathematics. I was not on the cover of the top mathematics publications because I was good looking. I was on the cover of the top mathematics publications because I contributed to mathematics. My new mathematics was the Philip Emeagwali formula for solving 65,536 problems at once. The Philip Emeagwali formula was mentioned by then U.S. President Bill Clinton who extolled my formula in his White House speech of August 26, 2000. In the 1980s, I gave research lectures on the Philip Emeagwali formula.
Views: 132 Philip Emeagwali
Easy to learn||Journal Entries in accounting[Important 24 Transactions]by kauserwise
 
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Here is the video about Journal entries for 24 Transactions, with this we discussed 3 Golden Rules, what is Real Account, Personal account and Nominal account, hope this will help you to get the subject knowledge at the end. Thanks and All the best. To watch more tutorials pls visit: www.youtube.com/c/kauserwise * Financial Accounts * Corporate accounts * Cost and Management accounts * Operations Research * Statistics *Due to some technical issue the video has came as monochrome mode. ▓▓▓▓░░░░───CONTRIBUTION ───░░░▓▓▓▓ If you like this video and wish to support this kauserwise channel, please contribute via, * Paytm a/c : 6383617203 * Western Union / MoneyGram [ Name: Kauser, Country: India & Email: [email protected] ] [Every contribution is helpful] Thanks & All the Best!!! ─────────────────────────── Journal entries in accounting, What is journal book, What is Golden rules Journal entries What is Personal account Journal entries What is Nominal account in journal entries Easy step to solve journal entries Trick to solve Journal entries
Views: 1612251 Kauser Wise
9:00 AM - RRB JE 2019 | Electronics Engg by Ratnesh Sir | Electronic Materials
 
01:22:13
Use Referral Code “wifistudy” & Get 10% Discount on Any Plus Subscription Available Plus Courses: - ⇒ RRB JE Booster: https://goo.gl/fgPLQz ⇒ SSC CGL Booster: https://goo.gl/j4UBcL ⇒ SSC CPO Booster: https://goo.gl/j4UBcL ⇒ SSC GD Booster: https://goo.gl/j4UBcL ⇒ IB Executive Booster: https://goo.gl/j4UBcL ⇒ AFCAT Booster: https://goo.gl/2N4gkt ⇒ CDS Booster: https://goo.gl/2N4gkt ⇒ Banking Booster: https://goo.gl/Tje5WM Unacademy Plus Subscription Benefits: - 1. One Subscription, Unlimited Access 2. Learn from your favourite teacher 3. Real time interaction with teacher 4. You can ask doubts in live class 5. Limited students 6. Download the videos & watch offline wifistudy is a part of the Unacademy Group. Follow us on Unacademy: https://unacademy.com/user/wifistudy Subscribe wifistudy vlogs here: https://www.youtube.com/wifistudyvlogs We're Hiring, Apply Here: Engineering: https://goo.gl/forms/T6lphLmUIw6mRqS82 UPSC: https://goo.gl/forms/cbMs6FCIaWKkGEvp2 General: https://goo.gl/forms/dR1MZdFja34rDo2G2 === Live Classes Schedule (Mon-Fri) from 4th Feb === Morning Shows: 5:00 AM - Current Affairs Quiz Show by Bhunesh Sir 8:00 AM - Current Affairs Show by Bhunesh Sir 8:45 AM - Vocabulary Show by Bhunesh Sir RRB ALP 2018 (Psycho): 6:00 AM - Psychological Tests by Ramveer Sir (Coming Soon) RRB JE 2019 (CBT-2): 6:00 AM - Mechanical Engg by Neeraj Sir 9:00 AM - Civil Engg by Sandeep Sir 9:00 AM - Electronics Engg by Ratnesh Sir 10:30 AM - Electrical Engg by Ashish Sir 10:30 AM - Computer Science by Pandey Sir RRB JE 2019 (CBT-1): 12:00 PM - General Science by Shipra Ma’am 12:30 PM - Maths by Sahil Sir 1:00 PM - Reasoning Hitesh sir 1:30 PM - General Awareness by Bhunesh Sir RPF (Constable) Crash Course: 2:00 PM - General Awareness by Shipra Ma'am 3:00 PM - Maths by Sahil Sir 4:00 PM - Reasoning by Deepak Sir अब CGL/CPO दूर नहीं: 2:00 PM - Maths by Naman Sir 3:00 PM - GK by Praveen Sir 4:00 PM - English by Harsh Sir 5:00 PM - Reasoning by Deepak Sir अब Patwar दूर नहीं: 6:00 PM - Maths by Sahil Sir 6:30 PM - History by Praveen Sir 7:00 PM - Hindi by Ganesh Sir 7:30 PM - Geography by Rajendra Sir IB Security Assistant (Executive) 2018: 6:00 PM - English by Sanjeev Sir 6:30 PM - GK by Shipra Ma'am 7:00 PM - Maths by Naman Sir 7:30 PM - Reasoning by Hitesh Sir अबकी बार Vocab पार: 7:00 PM - English Vocab with Phrasal Verbs by Sanjeev Sir अब SSC GD दूर नहीं: 8:00 PM - Maths by Naman Sir 9:00 PM - Reasoning by Hitesh Sir 10:00 PM - Hindi by Ganesh Sir 10:30 PM - GK by Sandeep Sir 11:30 PM - English by Sanjeev Sir Download wifistudy App: https://play.google.com/store/apps/details?id=com.wifistudy.onlinetest #Live_Classes_New_Schedule_in_Description
Views: 183607 wifistudy
Easy Steps to Prepare||Cash Budget||in management accounting||Solved Problem||by kauserwise
 
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Here is the video about Cash Budget in Management accounting with solved problem in simple manner. Hope this will help you to get the subject knowledge at the end. Thanks and All the best. To watch more tutorials pls visit: www.youtube.com/c/kauserwise * Financial Accounts * Corporate accounts * Cost and Management accounts * Operations Research Playlists: For Financial accounting - https://www.youtube.com/playlist?list=PLabr9RWfBcnojfVAucCUHGmcAay_1ov46 For Cost and Management accounting - https://www.youtube.com/playlist?list=PLabr9RWfBcnpgUjlVR-znIRMFVF0A_aaA For Corporate accounting - https://www.youtube.com/playlist?list=PLabr9RWfBcnorJc6lonRWP4b39sZgUEhx For Operations Research - https://www.youtube.com/playlist?list=PLabr9RWfBcnoLyXr4Y7MzmHSu3bDjLvhu
Views: 633156 Kauser Wise
Modeling the Melt: What Math Tells Us About the Disappearing Polar Ice Caps
 
01:17:39
Kenneth M. Golden is a Distinguished Professor of Mathematics and Adjunct Professor of Bioengineering at the University of Utah. His scientific interests lie in sea ice, climate, composite materials, percolation theory, statistical physics, diffusion processes, and inverse problems. He has published papers in journals in mathematics, physics, geophysics, oceanography, ecology, remote sensing, electrical engineering, mechanical engineering, and biomechanics, and given over 400 invited lectures on six continents, including three presentations in the US Congress. Golden has journeyed seven times to Antarctica and eleven times to the Arctic to study sea ice. In 2011, he was selected as a Fellow of the Society for Industrial and Applied Mathematics for "extraordinary interdisciplinary work on the mathematics of sea ice," and in 2013 he was an Inaugural Fellow of the American Mathematical Society. Professor Golden received the University of Utah's highest award for teaching in 2007 and for research in 2012. In 2014, Golden was elected as a Fellow of the Explorers Club, whose members have included Robert Peary, Sir Edmund Hillary, Neil Armstrong, and Jane Goodall. His polar expeditions and mathematical work have been covered in over 50 newspaper, magazine, and web articles, including profiles in Science, Science News, Scientific American and Physics Today. He has also been interviewed numerous times on radio and television, and featured in videos produced by the National Science Foundation and NBC News. Brown University April 26, 2017
Views: 633 Brown University
Machine Learning and Robust Optimization, Fengqi You, Cornell University
 
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When Machine Learning Meets Robust Optimization: Data-driven Adaptive Robust Optimization Models, Algorithms & Applications In this presentation, we will introduce a novel data-driven adaptive robust optimization framework that organically integrate machine learning techniques with optimization under uncertainty methods. We first propose a data-driven nonparametric uncertainty model could automatically adjust its complexity based on the data structure and complexity, thus accurately capturing the uncertainty information. The machine learning model is seamlessly integrated with adaptive robust optimization approach through a novel multi-level optimization framework. This framework explicitly accounts for the correlation, asymmetry and multimode of uncertainty data, so it generates less conservative solutions than conventional robust optimization approaches. Additionally, the proposed framework is robust not only to parameter variations, but also to data outliers. The data-driven adaptive robust optimization framework is further extended to systematically and automatically handle labeled multi-class uncertainty data through a stochastic robust optimization approach. The resulting optimization framework has a bi-level structure: The outer optimization problem follows a two-stage stochastic programming approach to optimize the expected objective across different classes of data; robust optimization is nested as the inner problem to ensure the robustness of the solution while maintaining computational tractability. Tailored column-and-constraint generation algorithms are further developed to solve the resulting multi-level optimization problem efficiently. Applications to short-term scheduling of batch processes and strategic planning of process networks are presented to demonstrate the applicability of the proposed frameworks and effectiveness of the solution algorithm. Biography: Fengqi You is the Roxanne E. and Michael J. Zak Professor at Cornell University, and is affiliated with Smith School of Chemical and Biomolecular Engineering, Operations Research and Information Engineering Field, Center of Applied Mathematics, and Systems Engineering Program. He earned a B.Eng. from Tsinghua University and received his Ph.D. from Carnegie Mellon University. He served on the faculty of Northwestern University from 2011 to 2016, and worked at Argonne National Laboratory as an Argonne Scholar from 2009 to 2011. He has published over 100 peer-reviewed articles in leading journals, and has an h-index of 40. Some of his research results have been editorially highlighted in Nature, featured on journal covers (e.g. Energy & Environmental Science, ACS Sustainable Chemistry & Engineering, and Industrial & Engineering Chemistry Research), and covered by major media outlets (e.g. The New York Times, BBC, BusinessWeek, and National Geographic). His recent awards (in the past five years) include Northwestern-Argonne Early Career Investigator Award (2013), National Science Foundation CAREER Award (2016), AIChE Environmental Division Early Career Award (2017), AIChE Sustainable Engineering Research Excellence Award (2017), and ACS Sustainable Chemistry & Engineering Lectureship Award (2018), as well as a number of best paper awards and most-cited article recognitions. He is currently an Associate Editor of Computers & Chemical Engineering, a Consulting Editor of AIChE Journal, and an editorial board member of several journals (e.g. ACS Sustainable Chemistry & Engineering). His research focuses on the development of novel computational models, optimization algorithms, statistical machine learning methods, and systems analysis tools for process manufacturing, smart agriculture, energy systems, and sustainability. See https://apmonitor.com/wiki/uploads/Main/2017_09_Fengqi_You.pdf Presentation recorded with WebEx.
Views: 3422 APMonitor.com
UTRC CDS Invited Lecture: Javad Lavaei "Graph-Theoretic Convexification of Polynomial Optimization"
 
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UTRC CDS Invited Lecture: Javad Lavaei "Graph-Theoretic Convexification of Polynomial Optimization" Friday, November 18, 2016 10:00 a.m. 2168 A V Williams UTRC Control and Dynamical Systems Invited Lecture Series Graph-Theoretic Convexification of Polynomial Optimization Problems with Applications to Power Systems and Distributed Control Javad Lavaei Assistant Professor Department of Industrial Engineering and Operations Research University of California, Berkeley Abstract The area of polynomial optimization has been actively studied in computer science, operations research, applied mathematics and engineering, where the goal is to find a high-quality solution using an efficient computational method. This area has attracted much attention in the control community since several long-standing control problems could be converted to polynomial optimization problems. The current researches on this area have been mostly focused on various important questions: i) how does the underlying structure of an optimization problem affect its complexity? Ii) how does sparsity help? iii) how to find a near globally optimal solution whenever it is hard to find a global minimum? iv) how to design an efficient numerical algorithm for large-scale non-convex optimization problems? v) how to deal with problems with a mix of continuous and discrete variables? In this talk, we will develop a unified mathematical framework to study the above problems. Our framework rests on recent advances in graph theory and optimization, including the notions of OS-vertex sequence and treewidth, matrix completion, semidefinite programming, and low-rank optimization. We will also apply our results to two areas of power systems and distributed control. In particular, we will discuss how our results could be used to address several hard problems for power systems such as optimal power flow (OPF), security-constrained OPF, state estimation, and unit commitment. Biography Javad Lavaei is an Assistant Professor in the Department of Industrial Engineering and Operations Research at University of California, Berkeley. He was an Assistant Professor in Electrical Engineering at Columbia University from 2012 to 2015. He received the Ph.D. degree in Control & Dynamical Systems from the California Institute of Technology in 2011, and was a postdoctoral scholar in Electrical Engineering and Precourt Institute for Energy at Stanford University for one year. He is the recipient of the Milton and Francis Clauser Doctoral Prize for the best university-wide Ph.D. thesis, entitled "Large-Scale Complex Systems: From Antenna Circuits to Power Grids". He researches on optimization theory, control theory and power systems. He has won several awards, including DARPA Young Faculty Award, Office of Naval Research Young Investigator Award, National Science Foundation CAREER Award, Resonate Award, Google Faculty Research Award, Governor General of Canada Academic Gold Medal, Northeastern Association of Graduate Schools Master's Thesis Award, and Silver Medal in the 1999 International Mathematical Olympiad. Javad Lavaei is an associate editor of IEEE Transactions on Smart Grid and serves on the conference editorial board of IEEE Control Systems Society and European Control Association. He was a finalist (as an advisor) for the Best Student Paper Award at the 53rd IEEE Conference on Decision and Control 2014. His journal paper entitled "Zero Duality Gap in Optimal Power Flow Problem" has received a prize paper award given by the IEEE PES Power System Analysis Computing and Economics Committee in 2015. He is a co-recipient of the 2015 INFORMS Optimization Society Prize for Young Researchers, and the recipient of the 2016 Donald P. Eckman Award given by the American Automatic Control Council.
Views: 677 ISR UMD
Cost Accounting: INTRODUCTION in HINDI Full Lectures
 
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Eduattack is for Providing FREE VIDEO LECTURES LIBRARY, NO TERMS & CONDITIONS For IAS Commerce, SSC, CLAT, Banking, Other Competitive Entrances Exam, LLB, LLM, Law Classes, CA, CS, CMA, BCom, MCom, BBA, MBA and other Commerce Students
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Vacuum Tube to Transistor to Integrated Circuit [Documentary]
 
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This video is the culmination of documentaries from the vacuum tube, transistor and integrated circuit eras of computing. [0:40-20:55] - Vacuum Tube Documentary [20:55-30:00] - Transistor Documentary [30:00-59:18] - Integrated Circuit Documentary Become A Channel Member, Patron or Make A Donation ➤ https://www.youtube.com/c/singularityprosperity/join https://www.patreon.com/SingularityProsperity https://www.paypal.me/SingularityProsper Check Out Our Website & Blog ➤ https://singularityprosperity.com https://blog.singularityprosperity.com Join Our Discord ➤ subscribe.singularityprosperity.com/discord Like Our Facebook Page & Follow Our Subreddit ➤ https://www.facebook.com/singularityprosperity/ https://www.reddit.com/r/singularityprosperity Subscribe To Our Email List ➤ subscribe.singularityprosperity.com/email Soundtrack ➤ ♫ 00:00 "April Showers" by ProleteR Producer ➤ Ankur Bargotra Follow The Producers Social Media Accounts ➤ https://twitter.com/enchorb http://www.snapchat.com/add/enchorb http://www.instagram.com/enchorb
Views: 93735 Singularity Prosperity
International Journal of Chaos, Control, Modelling and Simulation IJCCMS
 
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International Journal of Chaos, Control, Modelling and Simulation (IJCCMS) http://airccse.org/journal/ijccms/index.html ISSN : 2319 - 5398 [Online] ; 2319 - 8990 [Print]. Aims and Scope: The International Journal of Chaos, Control, Modelling and Simulation is a bi-monthly open access peer-reviewed journal that publishes articles which contribute new results in all areas of Chaos Theory, Control Systems, Scientific Modelling and Computer Simulation. In the last few decades, chaos theory has found important applications in secure communication devices and secure data encryption. Control methods are very useful in several applied areas like Chaos, Automation, Communication, Robotics, Power Systems, and Biomedical Instrumentation. The journal focuses on all technical and practical aspects of Chaos, Control, Modelling and Simulation. The goal of this journal is to bring together researchers and practitioners from academia and industry to focus on chaotic systems and applications, control theory, process control, automation, modelling concepts, computational methods, computer simulation and establishing new collaborations in these areas.. Authors are solicited to contribute to this journal by submitting articles that illustrate research results, projects, surveying works and industrial experiences that describe significant advances in Chaos Theory, Control Systems, Modelling and Simulation Techniques. Areas and subareas of interest include (but are not limited to): Adaptive control Advanced chaos theory Advanced computing techniques Algorithms, modelling and simulation Applications of chaos in science and engineering Artificial intelligence Artificial neural networks Automation and mobile robots Bioinformatics Biological modelling Biological systems and models Chaotic systems Chaos modelling Circuit realization of chaotic systems Control of chaotic systems Cloud computing Communication engineering Computational biology Computational fluid dynamics Computer science Control devices & instruments Control theory Data mining Data Structures and Algorithms Scientific computing Secure communication devices Stochastic modelling and control Data visualization Digital control Digital image processing Digital signal processing Dynamical systems and stability theory Embedded systems and control Evolutionary techniques in engineering Flight control and surveillance systems Fuzzy logic control Genetic algorithms and applications Hyperchaotic systems Industrial applications of control Intelligent systems Information theory Linear and nonlinear programming Linear control theory Materials science Mathematical control theory Mathematical modelling and applications Measurement systems Modelling and control Nonlinear control theory Numerical methods in control systems Optimization and optimal control Parallel computing Process control and automation Real-time systems Real and complex analysis Robust control Soft computing techniques Paper Submission Authors are invited to submit papers for this journal through E-mail: [email protected] Submissions must be original and should not have been published previously or be under consideration for publication while being evaluated for this Journal.
Theoretical vs applied econometric | why economertirc a separate discipline |
 
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Do we REALLY NEED to study Econometrics as a Separate discipline??? What is the Difference between theoretical vs applied Econometrics....?? Easy ECONOMETRICS (All videos) https://www.youtube.com/watch?v=WNf1DLTRlTo&index=7&list=PLU-cxjF-s0Hk0DOXPqauiHBfRgaFpqYxK&t=0s RESEARCH and THESIS Writing (10 + videos) https://www.youtube.com/watch?v=ib7yYggOgpA&t=308s&list=PLU-cxjF-s0HlVJnf2dev1KtoAD3ZljWVg&index=3 ECONOMICS for beginners | Micro and Macro (45 + videos) https://www.youtube.com/playlist?list=PLU-cxjF-s0HngkQ9xdQ5waYtpEO2MkP-D Principles of MARKETING (20 + videos) https://www.youtube.com/watch?v=mCAogfEz6bs&t=0s&list=PLU-cxjF-s0HlgTwSl9Xk3bx5z8q7kOD6F&index=12 ACCA PAPER F1 (Link of all videos) https://www.youtube.com/watch?v=JuEvXFhuYLw&list=PLU-cxjF-s0HkgAbbiOP9g2fMlsYSPg0K3 OLIGOPOLY and GAME THEORY (6 videos) https://www.youtube.com/playlist?list=PLU-cxjF-s0HnlCialpcyfz0O8xminDXja Basic Statistical Concepts (All videos) https://www.youtube.com/watch?v=APY8KSxxFSo&index=4&t=104s&list=PLU-cxjF-s0HkCIlcZMGfjHMukLIbDji1c Intro to Industrial Economics https://www.youtube.com/watch?v=eEGeuqhOVdQ&list=PLU-cxjF-s0HnHTZ05_CY6uGLgwVA3Aj-Q Management HRM and STRATEGIC MANAGEMENT https://www.youtube.com/watch?v=uO3azOb2icE&t=314s&list=PLU-cxjF-s0Hml7o706eKofZ7D4bXIcJwH&index=6 Life Skills and Inspirational videos (50 + videos) https://www.youtube.com/watch?v=WM3Upd0MeDg&index=19&list=PLU-cxjF-s0HmnD_TYqmkb6VBL6AusSB_Y ========= About KOKAB MANZOOR ========= Kokab Manzoor is Certified Trainer | Speaker and Life Coach. He has trained thousands of students and Professionals about Leadership and Management skills | Motivation | Personality Grooming | Career selection and about variety of other life skills. Has a sound understanding of needed traits for workplace success and a strong ability to train employees in improving those characteristics. Follow me www.Youtube.com/kokabmanzoor www.Facebook.com/kokabmanzoor19 [email protected] http://kokabmanzoor1.blogspot.com/
Views: 1077 Kokab Manzoor
International Journal of Control Theory and Computer Modeling (IJCTCM)
 
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International Journal of Control Theory and Computer Modeling (IJCTCM) ISSN : 2249-1155 [Online]; 2319 - 4138 [print]. http://airccse.org/journal/ijctcm/ijctcm.html Call for papers :- The International Journal of Control Theory and Computer Modelling (IJCTCM) is a bi-monthly open access peer-reviewed journal that publishes articles which contribute new results in all areas of Control Theory and Computer Modelling. The journal focuses on all technical and practical aspects of Control Theory and Computer Modelling. The goal of this journal is to bring together researchers and practitioners from academia and industry to focus on advanced control engineering and modeling concepts and establishing new collaborations in these areas. Authors are solicited to contribute to this journal by submitting articles that illustrate research results, projects, surveying works and industrial experiences that describe significant advances in Control Theory and Computer Modelling. Topics of interest include, but are not limited to, the following: o Control theory o Linear and nonlinear control systems o Optimization and optimal control o Robust control o Adaptive control o Digital control o Feedback control o Sliding mode control o Soft computing and control o Process control and instrumentation o Fault detection and isolation o Model predictive control o Stochastic control and filtering o Systems and automation o Networked control systems o Hybrid systems o Agriculture, environment, health applications o Industry, military, space applications o Scientific computing o Embedded systems o Real-time issues o Neural networks and fuzzy logic o Genetic algorithms and evolutionary computing o Numerical analysis and scientific computing o System identification and control o Computer modelling o Mathematical modelling o Applications of modelling in science and engineering Paper Submission Authors are invited to submit papers for this journal through E-mail: [email protected] . Submissions must be original and should not have been published previously or be under consideration for publication while being evaluated for this Journal. For other details please visit http://airccse.org/journal/ijctcm/ijctcm.html
Views: 20 Ijctcm Journal
A Black Mathematician and His  Contributions to Mathematics | Philip Emeagwali
 
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I'm Philip Emeagwali at http://emeagwali.com. My discovery of practical parallel processing for new supercomputers put me in the news headlines and in the June 20, 1990 issue of the Wall Street Journal. I was the cover story of the June 1990 issue of the SIAM News. The SIAM News is the top mathematics publication and is published by the Society of Industrial and Applied Mathematics. The cover stories in the SIAM News report new inventions in mathematics and they are written by research mathematicians and written for research mathematicians. In the cover story of the SIAM News of June 1990, it was reported that I—Philip Emeagwali— had mathematically invented how to solve the toughest problems arising in modern calculus and arising in extreme-scale algebra and invented how to solve them across a new ensemble of 65,536 commonly available processors. I invented how to use that new supercomputer to solve many problems at once and to solve the largest-scaled problems arising in modern algebra. 6.1.6 Contributions of Philip Emeagwali to Physics On the Fourth of July 1989, the state-of-the-art of that toughest problem in modern algebra was a system of 24 million equations of algebra that arose from my finite difference discretizations of a system of partial differential equations that I invented that mathematically encoded a set of laws of physics that governs the subterranean motions of crude oil, injected water, and natural gas that flows one mile-deep underneath the surface of the Earth and that flows from water injection wells towards crude oil and natural gas production wells. I visualized my new instrument of computational physics as a new internet that I defined as my new global network of 65,536 tightly-coupled commodity-off-the-shelf processors with each processor operating its own operating system and with each processor having its own dedicated memory that shared nothing with each other. I visualized my new internet as a new instrument for solving the most extreme-scaled problems arising in algebra and for solving them as one seamless, cohesive unit that is a new supercomputer de facto. The defining feature of my invention of that new internet was that the new technology enabled me to compute synchronously and to communicate automatically and to do so via emails that I sent to and received from two-to-power-sixteen sixteen-bit long email addresses. Each of my 64 binary thousand email addresses had no @ sign or dot com suffix. 6.1.7 Sometimes, the Impossible is Possible Back in 1989, no author of any mathematics textbook understood the concept of solving many problems at once, or in parallel. Back in 1989, Seymour Cray was the spokesman for the supercomputer community. If Seymour Cray’s granddaughter came to him for help with her homework assignment on how to solve many mathematical problems at once, Seymour Cray would not have been able to help her to solve her problem in parallel. The reason was that Seymour Cray ardently believed that the supercomputer technology that I invented that enables parallel processing across my ensemble of 65,536 tightly-coupled processors was impossible and science fiction. 53.3.2 Supercomputing the Motions of a Tennis Ball I discovered that I recuperated faster when I played tennis in the late afternoon. And that I recuperated slower when I did not play tennis but instead watched television in the evening. In the late 1970s, I recuperated with three to five sets of tennis games at the Banneker Recreation Center Tennis Courts that was named after Benjamin Banneker and that was across the street from and between the School of Engineering of Howard University and Benjamin Banneker High School, Washington, DC. Benjamin Banneker was the prominent black American mathematician of Senegalese ancestry. Benjamin Banneker was extolled as a “scientific genius” by both Thomas Jefferson and the French Academy of Sciences. Benjamin Banneker was on a US postage stamp and is the subject of school reports. Benjamin Banneker famously and politely challenged Thomas Jefferson by famously writing that: [quote] “The colour of the skin is in no way connected with strength of the mind or intellectual powers.” [unquote] In the summer of 1977, I was twenty-two years old and hanging around Charles Drew dormitory of Howard University, Washington, D.C., and doing so without realizing that 53.3.3 Crossing Paths With Benjamin Banneker It seems surreal and a strange coincidence that I followed the footsteps of Benjamin Banneker even though he was born two centuries, two decades, and three years before I was born. Philip Emeagwali Lecture 180912. A Black Mathematician's Contributions to Mathematics. Why is Philip Emeagwali Famous?
Views: 437 Philip Emeagwali
TU Delft air flow / CFD simulations, S.Kenjeres and B. ter Kuile (2013): Movie 7
 
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Turbulent air flow within the campus of TU Delft / Numerical (CFD) Simulations. For details see publication: S. Kenjeres and B. ter Kuile (2013), "Modelling and simulations of turbulent flows in urban areas with vegetation", Journal of Wind Engineering and Industrial Aerodynamics, Vol.123, pp.43-55. E-mail contact: [email protected]
Views: 177 Sasa Kenjeres
Philip Emeagwali Equations Are My Contributions to Mathematics - A Black Mathematician Speaks
 
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The nine partial differential equations that I invented had their origins in the motions of crude oil, injected water, and natural gas. That crude oil and natural gas flow one mile deep inside the production oil field that is the size of a town. The Philip Emeagwali Equations are not science fiction equations. The Philip Emeagwali Equations are partial differential equations that were validated by experiments and physical observations. In a manner of speaking, the Philip Emeagwali Equations are mathematical caricatures of the production oil and gas fields that it governs. I am the research computational mathematician that discovered how to express in calculus terms, called partial derivatives, and express the motions of crude oil, injected water, and natural gas that were flowing across a production oil field. The nine partial differential equations that I contributed to calculus are at the mathematical foundation of the extreme-scaled parallel processed computational physics that completely describes the motions of crude oil, injected water, and natural gas that flowed one mile deep inside the petroleum reservoir. That hindcasting of fluid motions helps the petroleum engineer discover and recover otherwise elusive crude oil and natural gas. That supercomputer solution that is executed across millions upon millions of processors describes the flow patterns of the crude oil, injected water, and natural gas that is flowing one mile deep inside the oilfield. As an aside and as a fun fact, I have a famous photograph of myself with the partial differential equations used in real-world petroleum reservoir simulations that I scribbled on a green board that was in the background. That photograph has been reproduced in postage stamps and videos and is widely reprinted in school textbooks and reports. That photograph was taken on May 9, 1996 within the Science Museum of Minnesota at Saint Paul, Minnesota, United States. The partial differential equations that I scribbled on that green board were the pressure and the saturation equations that governed the petroleum reservoir simulator that was used by Exxon Corporation, back in the early 1980s. It’s amusing that those pressure and saturation equations were inadvertently reprinted in textbooks for twelve-year-olds. Those equations were over the head of any calculus teacher and research mathematician. Even the most knowledge teacher of mathematics or physics or computer science could not explain what those partial differential equations meant and, most importantly, could not explain how to parallel process and how to solve them at the world’s fastest supercomputer speeds. Nor can they describe how I discovered critical errors in those partial differential equations, as reproduced in textbooks. Nor can they describe how I reformulated them as the governing equations of an initial-boundary value problem that I parallel processed across my new internet that was my new global network of 64 binary thousand processors.   20.6.3 Contributions of Philip Emeagwali to Mathematics My contributions to mathematics and physics are these: I discovered and corrected nine serious errors in the mathematical physics textbooks that were used to discover and recover otherwise elusive crude oil and natural gas. These errors were the cover story of the May 1990 issue of the SIAM News. The SIAM News is where any of the one million mathematicians in the whole world go to learn the newest algebra or to learn the newest calculus that has been added into the body of mathematical knowledge and that will appear in future mathematics textbooks. 20.7.1 What is Philip Emeagwali Famous For? What is Philip Emeagwali famous for? In 1989 and thereafter, I was in the news headlines because I was the first full-time massively parallel processing supercomputer scientist to figure out how to solve the grand challenge problems arising in mathematical physics and figure out how to solve them at the fastest speeds in supercomputing. That contribution to the development of the computer was the reason I was in the news headlines and the subject of school reports since 1989. I was the first person to deliver a complete set of lectures on the massively parallel supercomputer that was the precursor to all modern supercomputers. After the invention of practical parallel processing, the vector processing technology that previously powered every supercomputer became a non-factor in the manufacture of supercomputers. Thank you. I’m Philip Emeagwali famous mathematicians project famous mathematicians alive famous mathematicians in history greatest living mathematicians Philip Emeagwali 190603 Parts 1 and 2 With Captions
Views: 45 Philip Emeagwali
Thunder Road to Biafra | War and Supercomputer Stories by Philip Emeagwali
 
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I'm Philip Emeagwali. The modern calculus is a tool that enables the mind to go where the eyes cannot see. Between the ancient laws of physics and the modern laws of computing, the partial differential equation of calculus is the pink elephant in the room. Calculus is the uncle nobody in the family wants to talk about. In 1989, I was in the news for mathematically discovering how to solve the toughest mathematical problems arising as the partial differential equations of modern calculus. I was also in the news for computationally discovering how to solve the largest system of equations of algebra that approximated that said partial differential equations of modern calculus. I was also in the news for experimentally discovering how to solve the companion initial-boundary value problems and how to solve them at the fastest speeds and solve them across a new internet that I visualized as my new global network of 64 binary thousand tightly-coupled processors that shared nothing between each other. I visualized my new global network of processors as married together by one binary million email wires and married together as one cohesive unit that is my new supercomputer de facto. I began my mathematical quest by inventing nine partial differential equations of modern calculus. My contributions to modern mathematics was the cover story of the May 1990 issue of the SIAM News. The SIAM News is the top publication for research mathematicians. The SIAM News is where newly discovered mathematics is written by research mathematicians for research mathematicians. The SIAM News is published by the Society of Industrial and Applied Mathematics that is the premier society for research mathematicians. The mathematical discovery that became the cover story of the bi-monthly SIAM News is to the research mathematician what the cover of Sports Illustrated magazine is to the super model. My cover story in the SIAM News was akin to being inducted into the Hall of Fame of mathematics. I invented my nine partial differential equations of modern calculus and I invented those equations from the basic principle called the Second Law of Motion of physics. The reason the geophysics origin of my mathematical invention should not come as a surprise was that the partial differential equations of modern calculus always arises from real-world problems. My nine partial differential equations arose from the problem of using the excruciatingly-detailed petroleum reservoir simulator and using that code to recover otherwise unrecoverable crude oil and natural gas that are flowing a mile-deep inside the Niger-Delta oilfields of southeastern Nigeria. The reason I invented the Philip Emeagwali’s equations and invented them from first principles is that the Second Law of Motion of physics is assumed to be self-evident. The Second Law of Motion of physics that was discovered three centuries and three decades ago is my starting point and the physical foundation of my contributions to modern calculus and extreme-scale algebra. The reason I was able to make that contribution to calculus and algebra was that I am a polymath, not a mathematician per se. Any research mathematician who is not a polymath and who is not at home at the frontiers of knowledge in physics and computer science can only use, say, the ordinary differential equations of calculus and use them as both his starting and ending points. I was a polymath and a product of the 1970s and ‘80s who simultaneously conducted research across the frontiers of physics, mathematics, and computing. I began my mathematical quest for the fastest supercomputer on Thursday June 20, 1974 at 1800 SW Campus Way, Corvallis, Oregon, United States. I began my quest on the first supercomputer in the world to be rated at one million instructions per second. I ended my quest on Tuesday the Fourth of July 1989 in Los Alamos, New Mexico, United States and on the pre-cursor to the modern supercomputer. The partial differential equation of modern calculus was the common denominator between that first supercomputer and the modern supercomputer. Philip Emeagwali Lecture 180609-1
Views: 210 Philip Emeagwali
Financial Accounting - Chapter 1: Introduction to accounting
 
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A video summary of chapter 1 in Perdisco's Financial Accounting 360Textbook. To find out more, visit www.perdisco.com/finacc
Views: 241902 perdiscotv
Lecture 3
 
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Mod-01 Lec-13 Pile Foundation IV
 
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Foundation for Offshore Structures by Dr. S. Nallayarasu,Department of Ocean Engineering,IIT Madras.For more details on NPTEL visit http://nptel.ac.in
Views: 1481 nptelhrd