Set Optimization and Applications - The State of the Art, Andreas H Hamel; Frank Heyde; Andreas L?hne; Birgi

Автор: Sundaram, Rangarajan K.
Название: A First Course in Optimization Theory
ISBN: 0521497701 ISBN-13(EAN): 9780521497701
Издательство: Cambridge Academ
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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: Andreas H Hamel; Frank Heyde; Andreas L?hne; Birgi
Название: Set Optimization and Applications - The State of the Art
ISBN: 3662486687 ISBN-13(EAN): 9783662486689
Издательство: Springer
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Цена: 19564.00 р.
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Описание: This volume presents five surveys with extensivebibliographies and six original contributions on set optimization and its applicationsin mathematical finance and game theory.

Автор: Ok, E.
Название: Real analysis with economic applications
ISBN: 0691117683 ISBN-13(EAN): 9780691117683
Издательство: Wiley
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Описание: Addressing the topics of real analysis, this book discusses the elements of order theory, convex analysis, optimization, correspondences, linear and nonlinear functional analysis, fixed-point theory, dynamic programming, and calculus of variations. It includes fixed point theorems and applications to functional equations and optimization theory.

Автор: Bartholomew-Biggs Michael
Название: Nonlinear Optimization with Financial Applications
ISBN: 1402081103 ISBN-13(EAN): 9781402081101
Издательство: Springer
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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.