Mathematical Programming and Financial Objectives for Scheduling Projects, Alf Kimms
Автор: Monique Jeanblanc, Marc Yor, Marc Chesney Название: Mathematical Methods for Financial Markets ISBN: 1852333766 ISBN-13(EAN): 9781852333768 Издательство: Springer Рейтинг: Цена: 8804.00 р. 12577.00-30% Наличие на складе: Есть (1 шт.) Описание: Presents stochastic processes of common use in mathematical finance. This book consists of eleven chapters, interlacing on the one hand financial concepts and instruments, Brownian motion, diffusion processes, Levy processes, together with the basic properties of these processes. It deals with continuous path processes and discontinuous processes.
Автор: F. Giannessi; S?ndor Koml?si; Tam?s Rapcs?k Название: New Trends in Mathematical Programming ISBN: 0792350367 ISBN-13(EAN): 9780792350361 Издательство: Springer Рейтинг: Цена: 23058.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Dedicated to the memory of Steven Vajda, one of the pioneers of mathematical programming, who was born in Hungary. This book provides readers with an insight into developments in mathematical programming. It is suitable for researchers and postgraduate students with an interest in the theoretical and algorithmic aspects of the field.
Описание: ANALYZE is a computer-assisted analysis system for mathematical programming models and solution called ANALYZE. It is designed to provide computer assistance for analyzing linear programs and their solutions. This book includes the exercises that show how to use ANALYZE to retrieve information.
Автор: Stephen Brookes; Michael Main; Austin Melton; Mich Название: Mathematical Foundations of Programming Semantics ISBN: 3540555110 ISBN-13(EAN): 9783540555117 Издательство: Springer Рейтинг: Цена: 12157.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This volume is taken from a conference which aimed to bring together computer scientists and mathematicians for discussion of research problems, results and directions in programming language semantics and related areas.
Автор: Antonio J. Conejo; Enrique Castillo; Roberto Mingu Название: Decomposition Techniques in Mathematical Programming ISBN: 3642066070 ISBN-13(EAN): 9783642066078 Издательство: Springer Рейтинг: Цена: 22201.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Optimization plainly dominates the design, planning, operation, and c- trol of engineering systems. This is a book on optimization that considers particular cases of optimization problems, those with a decomposable str- ture that can be advantageously exploited. Those decomposable optimization problems are ubiquitous in engineering and science applications. The book considers problems with both complicating constraints and complicating va- ables, and analyzes linear and nonlinear problems, with and without in- ger variables. The decomposition techniques analyzed include Dantzig-Wolfe, Benders, Lagrangian relaxation, Augmented Lagrangian decomposition, and others. Heuristic techniques are also considered. Additionally, a comprehensive sensitivity analysis for characterizing the solution of optimization problems is carried out. This material is particularly novel and of high practical interest. This book is built based on many clarifying, illustrative, and compu- tional examples, which facilitate the learning procedure. For the sake of cl- ity, theoretical concepts and computational algorithms are assembled based on these examples. The results are simplicity, clarity, and easy-learning. We feel that this book is needed by the engineering community that has to tackle complex optimization problems, particularly by practitioners and researchersinEngineering, OperationsResearch, andAppliedEconomics.The descriptions of most decomposition techniques are available only in complex and specialized mathematical journals, di?cult to understand by engineers. A book describing a wide range of decomposition techniques, emphasizing problem-solving, and appropriately blending theory and application, was not previously available.
Автор: Shu-Cherng Fang; J.R. Rajasekera; H.S.J. Tsao Название: Entropy Optimization and Mathematical Programming ISBN: 1461378109 ISBN-13(EAN): 9781461378105 Издательство: Springer Рейтинг: Цена: 20962.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Entropy optimization is a useful combination of classical engineering theory (entropy) with mathematical optimization.
Описание: This volume contains thirty-three selected general research papers devoted to the theory and application of the mathematics of constrained optimization, including linear programming and its extensions to convex programming, general nonlinear programming, integer programming, and programming under uncertainty. Originally published in 1971. The Pri
Автор: Tam?s Terlaky Название: Interior Point Methods of Mathematical Programming ISBN: 0792342011 ISBN-13(EAN): 9780792342014 Издательство: Springer Рейтинг: Цена: 47377.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Offers an overview of the research in interior point methods. This book gives an overview of basic variants of interior point algorithms for linear programming. It also deals with nonlinear programming. It is useful for researchers and graduate students in mathematical programming, operations research, management science, and combinatorics.
Автор: Michael G. Main; Austin C. Melton; Michael W. Misl Название: Mathematical Foundations of Programming Semantics ISBN: 0387973753 ISBN-13(EAN): 9780387973753 Издательство: Springer Рейтинг: Цена: 12157.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Автор: Young-Jou Lai; Ching-Lai Hwang Название: Fuzzy Mathematical Programming ISBN: 354056098X ISBN-13(EAN): 9783540560982 Издательство: Springer Рейтинг: Цена: 15372.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: To improve flexibility and robustness of fuzzymathematical programming techniques, we also present ourexpert decision-making support system IFLP which considersand solves all possibilities of a specific domain of (fuzzy)linear programming problems.
Автор: F. Giannessi; S?ndor Koml?si; Tam?s Rapcs?k Название: New Trends in Mathematical Programming ISBN: 1441947930 ISBN-13(EAN): 9781441947932 Издательство: Springer Рейтинг: Цена: 23058.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Though the volume covers 22 papers by 36 authors from 12 countries, the history in the background is bound to Hungary where, in 1973 Andras Pnkopa started to lay the foundation of a scientific forum, which can be a regular meeting spot for experts of the world in the field.
Описание: This book covers the fundamentals of linear programming, extension of linear programming to discrete optimization methods, multi-objective functions, quadratic programming, geometric programming, and classical calculus methods for solving nonlinear programming problems.
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