Author: Avner Friedman
Publisher: SIAM
ISBN: 9781611971545
Category : Mathematics
Languages : en
Pages : 149
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Book Description
Industrial mathematics is a fast growing field within the mathematical sciences. It is characterized by the origin of the problems which it engages; they all come from industry: research and development, finances, and communications. The common feature running through this enterprise is the goal of gaining a better understanding of industrial models and processes through mathematical ideas and computations. The authors of this book have undertaken the approach of presenting real industrial problems and their mathematical modeling as a motivation for developing mathematical methods that are needed for solving the problems. With each chapter presenting one important problem that arises in today's industry, and then studying the problem by mathematical analysis and computation, this book introduces the reader to many new ideas and methods from ordinary and partial differential equations, and from integral equations and control theory. It brings the excitement of real industrial problems into the undergraduate mathematical curriculum. The problems selected are accessible to students who have already taken what in many colleges and universities constitutes the first two-year basic Calculus sequence. A working knowledge of Fortran, Pascal, or C language is required.
Author: Donna D. Boatwright
Publisher: Delmar Pub
ISBN: 9780827369740
Category : Mathematics
Languages : en
Pages : 266
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Book Description
This book covers a variety of topics in mathematics as they relate to industrial technologies including manufacturing, electricity/electronics, graphics, communication, transportation, industrial management, materials and related science principles. Organized by topics, the main objective is to develop strong, logical problem-solving skills. ..A brief description of each math principle is presented with step-by-step examples. The explanations are designed to emphasize the correct use and application of math principles. Graphs, drawings and charts relating to the applications reinforce the use of the skills developed. ALSO AVAILABLE INSTRUCTOR SUPPLEMENTS CALL CUSTOMER SUPPORT TO ORDER Instructor's Guide, ISBN: 0-8273-6975-1
Author: Glenn Fulford
Publisher: Cambridge University Press
ISBN: 9780521001816
Category : Mathematics
Languages : en
Pages : 220
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Book Description
An undergraduate text focussing on mathematical modelling stimulated by contemporary industrial problems.
Author: C. R. MacCluer
Publisher:
ISBN: 9780486477022
Category : Mathematical models
Languages : en
Pages : 0
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Book Description
Students learn how to solve problems they'll encounter in their professional lives with this concise single-volume treatment. It employs MATLAB and other strategies to explore typical industrial problems. 2000 edition.
Author: Murray S. Klamkin
Publisher: SIAM
ISBN: 0898712599
Category : Mathematics
Languages : en
Pages : 612
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Book Description
A compilation of 380 of SIAM Review's most interesting problems dating back to the journal's inception in 1959.
Author: H Neunzert
Publisher: Springer Science & Business Media
ISBN: 1475732228
Category : Mathematics
Languages : en
Pages : 386
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Book Description
Industrial Mathematics is a relatively recent discipline. It is concerned primarily with transforming technical, organizational and economic problems posed by indus try into mathematical problems; "solving" these problems byapproximative methods of analytical and/or numerical nature; and finally reinterpreting the results in terms of the original problems. In short, industrial mathematics is modelling and scientific computing of industrial problems. Industrial mathematicians are bridge-builders: they build bridges from the field of mathematics to the practical world; to do that they need to know about both sides, the problems from the companies and ideas and methods from mathematics. As mathematicians, they have to be generalists. If you enter the world of indus try, you never know which kind of problems you will encounter, and which kind of mathematical concepts and methods you will need to solve them. Hence, to be a good "industrial mathematician" you need to know a good deal of mathematics as well as ideas already common in engineering and modern mathematics with tremen dous potential for application. Mathematical concepts like wavelets, pseudorandom numbers, inverse problems, multigrid etc., introduced during the last 20 years have recently started entering the world of real applications. Industrial mathematics consists of modelling, discretization, analysis and visu alization. To make a good model, to transform the industrial problem into a math ematical one such that you can trust the prediction of the model is no easy task.
Author: Avner Friedman
Publisher: Springer Science & Business Media
ISBN: 9780387948652
Category : Science
Languages : en
Pages : 204
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Book Description
This is the eighth volume in the series "Mathematics in Industrial Prob lems." The motivation for these volumes is to foster interaction between Industry and Mathematics at the "grass roots level"; that is, at the level of specific problems. These problems come from Industry: they arise from models developed by the industrial scientists in ventures directed at the manufacture of new or improved products. At the same time, these prob lems have the potential for mathematical challenge and novelty. To identify such problems, I have visited industries and had discussions with their scientists. Some of the scientists have subsequently presented their problems in the IMA Seminar on Industrial Problems. The book is based on the seminar presentations and on questions raised in subsequent discussions. Each chapter is devoted to one of the talks and is self-contained. The chapters usually provide references to the mathematical literature and a list of open problems that are of interest to industrial scientists. For some problems, a partial solution is indicated briefly. The last chapter of the book contains a short description of solutions to some of the problems raised in the previous volume, as well as references to papers in which such solutions have been published.
Author: Patrick Bangert
Publisher: Springer Science & Business Media
ISBN: 3642249744
Category : Mathematics
Languages : en
Pages : 264
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Book Description
Industrial optimization lies on the crossroads between mathematics, computer science, engineering and management. This book presents these fields in interdependence as a conversation between theoretical aspects of mathematics and computer science and the mathematical field of optimization theory at a practical level. The 19 case studies that were conducted by the author in real enterprises in cooperation and co-authorship with some of the leading industrial enterprises, including RWE, Vattenfall, EDF, PetroChina, Vestolit, Sasol, and Hella, illustrate the results that may be reasonably expected from an optimization project in a commercial enterprise. The book is aimed at persons working in industrial facilities as managers or engineers; it is also suitable for university students and their professors as an illustration of how the academic material may be used in real life. It will not make its reader a mathematician but it will help its reader in improving his plant.
Author: Mohan C. Joshi
Publisher: Alpha Science Int'l Ltd.
ISBN: 9788173195778
Category : Mathematics
Languages : en
Pages : 528
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Book Description
This monograph contains results of recent research interests concerning solution strategies employed for solving real life problems pertaining to modelling and scientific computing, control and optimizations, and financial mathematics.
Author: Mangey Ram
Publisher: Academic Press
ISBN: 012818907X
Category : Mathematics
Languages : en
Pages : 421
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Book Description
Advances in Mathematics for Industry 4.0 examines key tools, techniques, strategies, and methods in engineering applications. By covering the latest knowledge in technology for engineering design and manufacture, chapters provide systematic and comprehensive coverage of key drivers in rapid economic development. Written by leading industry experts, chapter authors explore managing big data in processing information and helping in decision-making, including mathematical and optimization techniques for dealing with large amounts of data in short periods. - Focuses on recent research in mathematics applications for Industry 4.0 - Provides insights on international and transnational scales - Identifies mathematics knowledge gaps for Industry 4.0 - Describes fruitful areas for further research in industrial mathematics, including forthcoming international studies and research
