Stochastic Adaptive Search for Global Optimization, Z.B. Zabinsky

Автор: Shreve
Название: Stochastic Calculus for Finance I
ISBN: 0387401008 ISBN-13(EAN): 9780387401003
Издательство: Springer
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Цена: 8384.00 р.
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Описание: Developed for the professional Master`s program in Computational Finance at Carnegie Mellon, the leading financial engineering program in the U.S. Has been tested in the classroom and revised over a period of several yearsExercises conclude every chapter;

Автор: Anatoly Zhigljavsky; Antanas ?ilinskas
Название: Stochastic Global Optimization
ISBN: 1441944850 ISBN-13(EAN): 9781441944856
Издательство: Springer
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Цена: 13974.00 р.
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Описание: This book presents the main methodological and theoretical developments in stochastic global optimization. The extensive text is divided into four chapters; some of the topics include an introduction to global random search, statistical inference, several associated random search algorithms, and various approaches to statistical models.

Автор: Chang, Fwu-Ranq,
Название: Stochastic Optimization in Continuous Time
ISBN: 0521541948 ISBN-13(EAN): 9780521541947
Издательство: Cambridge Academ
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Цена: 6653.00 р.
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Описание: First published in 2004, this is a rigorous but user-friendly book on the application of stochastic control theory to economics. A distinctive feature of the book is that mathematical concepts are introduced in a language and terminology familiar to graduate students of economics.

Автор: Sriver Todd A.
Название: Pattern Search Ranking and Selection Algorithms for Mixed-Variable Optimization of Stochastic Systems
ISBN: 1249592526 ISBN-13(EAN): 9781249592525
Издательство: Неизвестно
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Цена: 10658.00 р.
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Автор: G. Dzemyda; V. Saltenis; A. ?ilinskas
Название: Stochastic and Global Optimization
ISBN: 1441952098 ISBN-13(EAN): 9781441952097
Издательство: Springer
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Цена: 19564.00 р.
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Автор: Hime Aguiar e Oliveira Junior; Lester Ingber; Anto
Название: Stochastic Global Optimization and Its Applications with Fuzzy Adaptive Simulated Annealing
ISBN: 364243343X ISBN-13(EAN): 9783642433436
Издательство: Springer
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Цена: 18284.00 р.
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Описание: With applications to many areas in science and technology, the technique examined in this volume is a highly effective algorithmic problem-solving tool. Contributions from leading experts cover the latest research and provide detailed examples of its use.

Автор: Panos M. Pardalos; Anatoly Zhigljavsky; Julius ?il
Название: Advances in Stochastic and Deterministic Global Optimization
ISBN: 3319299735 ISBN-13(EAN): 9783319299730
Издательство: Springer
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Цена: 15372.00 р.
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Описание: Current research results in stochastic and deterministic global optimization including single and multiple objectives are explored and presented in this book by leading specialists from various fields. Contributions include applications to multidimensional data visualization, regression, survey calibration, inventory management, timetabling, chemical engineering, energy systems, and competitive facility location. Graduate students, researchers, and scientists in computer science, numerical analysis, optimization, and applied mathematics will be fascinated by the theoretical, computational, and application-oriented aspects of stochastic and deterministic global optimization explored in this book.

Автор: David L. Woodruff
Название: Advances in Computational and Stochastic Optimization, Logic Programming, and Heuristic Search
ISBN: 1441950230 ISBN-13(EAN): 9781441950239
Издательство: Springer
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Цена: 29209.00 р.
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Описание: Computer Science and Operations Research continue to have a synergistic relationship and this book - as a part of the Operations Research and Computer Science Interface Series - sits squarely in the center of the confluence of these two technical research communities.

Автор: Huyen Pham
Название: Continuous-time Stochastic Control and Optimization with Financial Applications
ISBN: 3540894993 ISBN-13(EAN): 9783540894995
Издательство: Springer
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Цена: 9083.00 р.
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Описание: This text provides a systematic treatment of stochastic optimization problems applied to finance by presenting the different existing methods: dynamic programming, viscosity solutions, backward stochastic differential equations and martingale duality methods.