Robust optimization, Ben-tal, Aharon Ghaoui, Laurent El Nemirovski, Ark

Автор: Stephen Boyd
Название: Convex Optimization
ISBN: 0521833787 ISBN-13(EAN): 9780521833783
Издательство: Cambridge Academ
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Цена: 17950.00 р.
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Описание: The focus of this book is on recognizing convex optimization problems and then finding the most appropriate technique for solving them. It contains many worked examples and homework exercises and will appeal to students, researchers and practitioners in fields such as engineering, computer science, mathematics, statistics, finance and economics.

Автор: Sundaram, Rangarajan K.
Название: A First Course in Optimization Theory
ISBN: 0521497701 ISBN-13(EAN): 9780521497701
Издательство: Cambridge Academ
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Цена: 6811.00 р.
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Описание: This book, first published in 1996, introduces students to optimization theory and its use in economics and allied disciplines.

Автор: Jacob Engwerda
Название: LQ Dynamic Optimization and Differential Games
ISBN: 0470015241 ISBN-13(EAN): 9780470015247
Издательство: Wiley
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Цена: 17891.00 р.
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Описание: "Linear Quadratic Differential Games" is an assessment of the state of the art in its field and modern book on linear-quadratic game theory, one of the most commonly used tools for modelling and analysing strategic decision making problems in economics and management.

Автор: Schrijver Alexander
Название: Combinatorial Optimization / Polyhedra and Efficiency
ISBN: 3540443894 ISBN-13(EAN): 9783540443896
Издательство: Springer
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Цена: 17049.00 р.
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Описание: This book offers an in-depth overview of polyhedral methods and efficient algorithms in combinatorial optimization.These methods form a broad, coherent and powerful kernel in combinatorial optimization, with strong links to discrete mathematics, mathematical programming and computer science. In eight parts, various areas are treated, each starting with an elementary introduction to the area, with short, elegant proofs of the principal results, and each evolving to the more advanced methods and results, with full proofs of some of the deepest theorems in the area. Over 4000 references to further research are given, and historical surveys on the basic subjects are presented.

Автор: Bartholomew-Biggs Michael
Название: Nonlinear Optimization with Financial Applications
ISBN: 1402081103 ISBN-13(EAN): 9781402081101
Издательство: Springer
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Цена: 19564.00 р.
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Описание: The book introduces the key ideas behind practical nonlinear optimization. Computational finance – an increasingly popular area of mathematics degree programs – is combined here with the study of an important class of numerical techniques. The financial content of the book is designed to be relevant and interesting to specialists. However, this material – which occupies about one-third of the text – is also sufficiently accessible to allow the book to be used on optimization courses of a more general nature. The essentials of most currently popular algorithms are described, and their performance is demonstrated on a range of optimization problems arising in financial mathematics. Theoretical convergence properties of methods are stated, and formal proofs are provided in enough cases to be instructive rather than overwhelming. Practical behavior of methods is illustrated by computational examples and discussions of efficiency, accuracy and computational costs. Supporting software for the examples and exercises is available (but the text does not require the reader to use or understand these particular codes). The author has been active in optimization for over thirty years in algorithm development and application and in teaching and research supervision.