Advances in Nonlinear Programming, Ya-xiang Yuan

Автор: Ya-xiang Yuan
Название: Advances in Nonlinear Programming
ISBN: 0792350537 ISBN-13(EAN): 9780792350538
Издательство: Springer
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Цена: 23751.00 р.
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Описание: Contains results in nonlinear programming. This work includes results on trust region algorithms, interior point methods, quasi-Newton methods, conjugate gradient methods, and methods for variational problems. It can be useful as a reference source for researchers, engineers and graduate students.

Автор: Jon Lee; Sven Leyffer
Название: Mixed Integer Nonlinear Programming
ISBN: 1493902210 ISBN-13(EAN): 9781493902217
Издательство: Springer
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Цена: 30606.00 р.
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Описание: Many engineering, operations, and scientific applications include a mixture of discrete and continuous decision variables and nonlinear relationships involving the decision variables that have a pronounced effect on the set of feasible and optimal solutions.

Автор: Bazaraa
Название: Solutions Manual to Accompany Nonlinear Programming - Theory and Algorithms, Third Edition
ISBN: 1118762371 ISBN-13(EAN): 9781118762370
Издательство: Wiley
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Цена: 4586.00 р.
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Описание: As the Solutions Manual, this book is meant to accompany the main title, Nonlinear Programming: Theory and Algorithms, Third Edition. This book presents recent developments of key topics in nonlinear programming (NLP) using a logical and self-contained format.

Автор: Steeb Willi-Hans
Название: Nonlinear Workbook, The: Chaos, Fractals, Cellular Automata, Genetic Algorithms, Gene Expression Programming, Support Vector Machine, Wavelets, Hidden Markov Models, Fuzzy Logic With C++, Java And Symbolicc++ Programs (5Th Edition)
ISBN: 9814335770 ISBN-13(EAN): 9789814335775
Издательство: World Scientific Publishing
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Цена: 17899.00 р.
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Описание: Provides a comprehensive treatment of all the techniques in nonlinear dynamics together with C++, Java and SymbolicC++ implementations. This book not only covers the theoretical aspects of the topics but also provides the practical tools. To understand the material, it includes more than 100 worked out examples and 150 ready to run programs.

Название: Linear and Nonlinear Programming
ISBN: 3319374397 ISBN-13(EAN): 9783319374390
Издательство: Springer
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Цена: 12577.00 р.
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Описание: It is possible to go directly into Parts II and III omitting Part I, and, in fact, the book has been used in this way in many universities.New to this edition is a chapter devoted to Conic Linear Programming, a powerful generalization of Linear Programming.

Автор: Urmila Diwekar; Amy David
Название: BONUS Algorithm for Large Scale Stochastic Nonlinear Programming Problems
ISBN: 1493922815 ISBN-13(EAN): 9781493922819
Издательство: Springer
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Цена: 6986.00 р.
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Описание: This book presents the details of the BONUS algorithm and its real world applications in areas like sensor placement in large scale drinking water networks, sensor placement in advanced power systems, water management in power systems, and capacity expansion of energy systems.

Автор: Michael Patriksson
Название: Nonlinear Programming and Variational Inequality Problems
ISBN: 0792354559 ISBN-13(EAN): 9780792354550
Издательство: Springer
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Цена: 26546.00 р.
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Описание: Since I started working in the area of nonlinear programming and, later on, variational inequality problems, I have frequently been surprised to find that many algorithms, however scattered in numerous journals, monographs and books, and described rather differently, are closely related to each other.

Автор: Klaus Schittkowski
Название: More Test Examples for Nonlinear Programming Codes
ISBN: 3540171827 ISBN-13(EAN): 9783540171829
Издательство: Springer
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Цена: 13275.00 р.
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Описание: This collection of 188 nonlinear programming test examples is a supplement of the test problem collection published by Hock and Schittkowski [2].

Автор: Duan Li; Xiaoling Sun
Название: Nonlinear Integer Programming
ISBN: 1441939911 ISBN-13(EAN): 9781441939913
Издательство: Springer
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Цена: 23058.00 р.
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Описание: A combination of both Integer Programming and Nonlinear Optimization, this is a powerful book that surveys the field and provides a state-of-the-art treatment of Nonlinear Integer Programming.