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Practical Mathematical Optimization, Jan A Snyman; Daniel N Wilke


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Цена: 74530.00T
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Склад Америка: 233 шт.  
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Автор: Jan A Snyman; Daniel N Wilke
Название:  Practical Mathematical Optimization
ISBN: 9783030084868
Издательство: Springer
Классификация:






ISBN-10: 3030084868
Обложка/Формат: Soft cover
Страницы: 372
Вес: 0.61 кг.
Дата издания: 2018
Серия: Springer Optimization and Its Applications
Язык: English
Издание: Softcover reprint of
Иллюстрации: 30 tables, color; 17 illustrations, color; 64 illustrations, black and white; xxvi, 372 p. 81 illus., 17 illus. in color.
Размер: 234 x 156 x 21
Читательская аудитория: General (us: trade)
Основная тема: Mathematics
Подзаголовок: Basic Optimization Theory and Gradient-Based Algorithms
Ссылка на Издательство: Link
Рейтинг:
Поставляется из: Германии
Описание: 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.
Дополнительное описание: 1.Introduction.- 2.Line search descent methods for unconstrained minimization.-3. Standard methods for constrained optimization.-4. Basic Example Problems.- 5. Some Basic Optimization Theorems.- 6. New gradient-based trajectory and approximation methods.


Practical Mathematical Optimization

Автор: Snyman, Jan A, Wilke, Daniel N
Название: Practical Mathematical Optimization
ISBN: 3319775855 ISBN-13(EAN): 9783319775852
Издательство: Springer
Рейтинг:
Цена: 74530.00 T
Наличие на складе: Поставка под заказ.
Описание: 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.

Practical Optimization

Автор: Philip E. Gill, Walter Murray, Margaret H. Wright
Название: Practical Optimization
ISBN: 161197559X ISBN-13(EAN): 9781611975598
Издательство: Mare Nostrum (Eurospan)
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Цена: 63950.00 T
Наличие на складе: Невозможна поставка.
Описание: In the intervening years since this book was published in 1981, the field of optimization has been exceptionally lively. This fertility has involved not only progress in theory, but also faster numerical algorithms and extensions into unexpected or previously unknown areas such as semidefinite programming. Despite these changes, many of the important principles and much of the intuition can be found in this Classics version of Practical Optimization.This book provides model algorithms and pseudocode, useful tools for users who prefer to write their own code as well as for those who want to understand externally provided code. It presents algorithms in a step-by-step format, revealing the overall structure of the underlying procedures and thereby allowing a high-level perspective on the fundamental differences. And it contains a wealth of techniques and strategies that are well suited for optimization in the twenty-first century, and particularly in the now-flourishing fields of data science, “big data,” and machine learning. Practical Optimization is appropriate for advanced undergraduates, graduate students, and researchers interested in methods for solving optimization problems.

Game Theory

Автор: Maschler
Название: Game Theory
ISBN: 1107005485 ISBN-13(EAN): 9781107005488
Издательство: Cambridge Academ
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Цена: 69690.00 T
Наличие на складе: Невозможна поставка.
Описание: Covering both noncooperative and cooperative games, this comprehensive introduction to game theory also includes some advanced chapters on auctions, games with incomplete information, games with vector payoffs, stable matchings and the bargaining set. Mathematically oriented, the book presents every theorem alongside a proof. The material is presented clearly and every concept is illustrated with concrete examples from a broad range of disciplines. With numerous exercises the book is a thorough and extensive guide to game theory from undergraduate through graduate courses in economics, mathematics, computer science, engineering and life sciences to being an authoritative reference for researchers.

First Course In Integral Equations, A (Second Edition)

Автор: Wazwaz Abdul-Majid
Название: First Course In Integral Equations, A (Second Edition)
ISBN: 9814675121 ISBN-13(EAN): 9789814675123
Издательство: World Scientific Publishing
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Цена: 42240.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This second edition integrates the newly developed methods with classical techniques to give both modern and powerful approaches for solving integral equations.

Data-Driven Science and Engineering: Machine Learning, Dynamical Systems, and Control

Автор: Steven L. Brunton, J. Nathan Kutz
Название: Data-Driven Science and Engineering: Machine Learning, Dynamical Systems, and Control
ISBN: 1108422098 ISBN-13(EAN): 9781108422093
Издательство: Amazon Internet
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Цена: 0.00 T
Наличие на складе: Невозможна поставка.
Описание: Data-driven discovery is revolutionizing the modeling, prediction, and control of complex systems. Aimed at advanced undergraduate and beginning graduate students, this textbook provides an integrated viewpoint that shows how to apply emerging methods from data science, data mining, and machine learning to engineering and the physical sciences.


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