Practical Mathematical Optimization: Basic Optimization Theory and Gradient-Based Algorithms (Springer Optimization and Its Applications, 133)

Snyman, Jan A; Wilke, Daniel N

ISBN 10: 3030084868 ISBN 13: 9783030084868

Verlag: Springer, 2019

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Jan A. Snyman currently holds the position of emeritus professor in the Department of Mechanical and Aeronautical Engineering of the University of Pretoria, having retired as full professor in 2005. He has taught physics, mathematics and engineering mechanics to science and engineering students at undergraduate and postgraduate level, and has supervised the theses of 26 Masters and 8 PhD students. His research mainly concerns the development of gradient-based trajectory optimization algorithms for solving noisy and multi-modal problems, and their application in approximation methodologies for the optimal design of engineering systems. He has authored or co-authored 89 research articles in peer-reviewed journals as well as numerous papers in international conference proceedings.

Daniel N. Wilke is a senior lecturer in the Department of Mechanical and Aeronautical Engineering of the University of Pretoria. He teaches computer programming, mathematicalprogramming and computational mechanics to science and engineering students at undergraduate and postgraduate level. His current research focuses on the development of interactive design optimization technologies, and enabling statistical learning (artificial intelligence) application layers, for industrial processes and engineering design. He has co-authored over 50 peer-reviewed journal articles and full length conference papers.

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Titel: Practical Mathematical Optimization: Basic ...
Verlag: Springer
Erscheinungsdatum: 2019
Einband: Softcover
Zustand: Neu

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Practical Mathematical Optimization

Jan A Snyman|Daniel N Wilke

Verlag: Springer International Publishing, 2019

ISBN 10: 3030084868 ISBN 13: 9783030084868

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Zustand: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Guides readers to understand processes and strategies in real world optimization problemsContains new&nbspmaterial on gradient-based methods,&nbspalgorithm implementation via Python, and&nbspbasic optimization principlesCovers fu. Bestandsnummer des Verk�ufers 448671510

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Practical Mathematical Optimization | Basic Optimization Theory and Gradient-Based Algorithms

Jan A Snyman (u. a.)

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Practical Mathematical Optimization: Basic Optimization Theory and Gradient-Based Algorithms (Springer Optimization and Its Applications, 133)

Snyman, Jan A; Wilke, Daniel N

Verlag: Springer, 2019

ISBN 10: 3030084868 ISBN 13: 9783030084868

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Practical Mathematical Optimization : Basic Optimization Theory and Gradient-Based Algorithms

Daniel N Wilke

Verlag: Springer International Publishing, Springer International Publishing, 2019

ISBN 10: 3030084868 ISBN 13: 9783030084868

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Taschenbuch. Zustand: Neu. Druck auf Anfrage Neuware - Printed after ordering - This textbook presents a wide range of tools for a course in mathematical optimization for upper undergraduate and graduate students in mathematics, engineering, computer science, and other applied sciences. Basic optimization principles are presented with emphasis on gradient-based numerical optimization strategies and algorithms for solving both smooth and noisy discontinuous optimization problems. Attention is also paid to the difficulties of expense of function evaluations and the existence of multiple minima that often unnecessarily inhibit the use of gradient-based methods. This second edition addresses further advancements ofgradient-only optimization strategies to handlediscontinuities in objective functions. New chapters discuss the construction of surrogate models as well as new gradient-only solution strategies andnumerical optimizationusing Python. A special Python module is electronically available (via springerlink) that makes the new algorithms featured in the text easily accessible and directly applicable. Numerical examples and exercises are included to encourage senior- to graduate-level students to plan, execute, and reflect on numerical investigations. By gaining a deep understanding of the conceptual material presented, students, scientists, and engineers will be able to develop systematic and scientific numerical investigative skills. Bestandsnummer des Verk�ufers 9783030084868

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Practical Mathematical Optimization

Daniel N Wilke

Verlag: Springer International Publishing Jan 2019, 2019

ISBN 10: 3030084868 ISBN 13: 9783030084868

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Taschenbuch. Zustand: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -This book presents basic optimization principles and gradient-based algorithms to a general audience, in a brief and easy-to-read form. It enables professionals to apply optimization theory to engineering, physics, chemistry, or business economics. 400 pp. Englisch. Bestandsnummer des Verk�ufers 9783030084868

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Practical Mathematical Optimization

Daniel N Wilke

Verlag: Springer International Publishing, Springer International Publishing Jan 2019, 2019

ISBN 10: 3030084868 ISBN 13: 9783030084868

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Taschenbuch. Zustand: Neu. This item is printed on demand - Print on Demand Titel. Neuware -This textbook presents a wide range of tools for a course in mathematical optimization for upper undergraduate and graduate students in mathematics, engineering, computer science, and other applied sciences. Basic optimization principles are presented with emphasis on gradient-based numerical optimization strategies and algorithms for solving both smooth and noisy discontinuous optimization problems. Attention is also paid to the difficulties of expense of function evaluations and the existence of multiple minima that often unnecessarily inhibit the use of gradient-based methods. This second edition addresses further advancements of gradient-only optimization strategies to handle discontinuities in objective functions. New chapters discuss the construction of surrogate models as well as new gradient-only solution strategies and numerical optimization using Python. A special Python module is electronically available (via springerlink) that makes the new algorithms featured in the text easily accessible and directly applicable. Numerical examples and exercises are included to encourage senior- to graduate-level students to plan, execute, and reflect on numerical investigations. By gaining a deep understanding of the conceptual material presented, students, scientists, and engineers will be able to develop systematic and scientific numerical investigative skills.Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 400 pp. Englisch. Bestandsnummer des Verk�ufers 9783030084868

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