Programming in Networks and Graphs, Ulrich Derigs

Автор: George B. Dantzig; Mukund N. Thapa
Название: Linear Programming 2
ISBN: 1441931406 ISBN-13(EAN): 9781441931405
Издательство: Springer
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Описание: George Dantzig is widely regarded as the founder of this subject with his invention of the simplex algorithm in the 1940`s. In this second volume, the theory of the items discussed in the first volume is expanded to include such additional advanced topics as variants of the simplex method;

Автор: Arie Koster; Xavier Mu?oz
Название: Graphs and Algorithms in Communication Networks
ISBN: 3642261639 ISBN-13(EAN): 9783642261633
Издательство: Springer
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Описание: Examining communication networks from a mathematical perspective, this volume offers an introductory overview of broadband, optical, wireless and ad hoc networks. Particular topics of interest are design, optimization, robustness and energy consumption.

Автор: H.A. Eiselt; C.-L. Sandblom
Название: Linear Programming and its Applications
ISBN: 3642092845 ISBN-13(EAN): 9783642092848
Издательство: Springer
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Описание: The most important classes of problems are surveyed and presented by means of mathematical formulations, followed by solution methods and a discussion of a variety of "what-if" scenarios. Non-simplex based solution methods and newer developments such as interior point methods are covered.

Автор: Dylan Jones; Mehrdad Tamiz; Jana Ries
Название: New Developments in Multiple Objective and Goal Programming
ISBN: 3642103537 ISBN-13(EAN): 9783642103537
Издательство: Springer
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Цена: 14673.00 р.
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Описание: Multi-Objective Stochastic Programming Approaches for Supply Chain Management.- A Review of Goal Programming for Portfolio Selection.- A Hypervolume-Based Optimizer for High-Dimensional Objective Spaces.- Minimizing Vector Risk Measures.- Multicriteria Programming Approach to Development Project Design with an Output Goal and a Sustainability Goal.- Automated Aggregation and Omission of Objectives for Tackling Many-Objective Problems.- Trade-Off Analysis in Discrete Decision Making Problems Under Risk.- Interactive Multiobjective Optimization for 3D HDR Brachytherapy Applying IND-NIMBUS.- Multicriteria Ranking Using Weights Which Minimize the Score Range.- In Search of a European Paper Industry Ranking in Terms of Sustainability by Using Binary Goal Programming.- Nurse Scheduling by Fuzzy Goal Programming.

Автор: Dylan Jones; Mehrdad Tamiz
Название: Practical Goal Programming
ISBN: 1441957707 ISBN-13(EAN): 9781441957702
Издательство: Springer
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Цена: 19564.00 р.
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Описание: This book and its treatment of goal programming will help organizations meet targets and objectives. The book includes many worked-out examples and tutorial exercises, and is designed to demostrate and teach its readers good modeling practice.

Автор: Tadeusz Trzaskalik; Jerzy Michnik
Название: Multiple Objective and Goal Programming
ISBN: 3790814091 ISBN-13(EAN): 9783790814095
Издательство: Springer
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Цена: 20263.00 р.
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Описание: This work is dedicated to multi-objective methods in decision making. The first part, which is devoted to theoretical aspects, covers such multi-objective methods as: multiple linear programming; vector optimization; fuzzy goal programming; and data envelopment analysis.

Автор: Cuong Van; Rose-Anne Dana
Название: Dynamic Programming in Economics
ISBN: 1441953477 ISBN-13(EAN): 9781441953476
Издательство: Springer
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Цена: 23757.00 р.
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Описание: The purpose of Dynamic Programming in Economics is twofold: (a) to provide a rigorous, but not too complicated, treatment of optimal growth models in infinite discrete time horizon, (b) to train the reader to the use of optimal growth models and hence to help him to go further in his research.

Автор: C. R. Bector; Suresh Chandra
Название: Fuzzy Mathematical Programming and Fuzzy Matrix Games
ISBN: 3642062652 ISBN-13(EAN): 9783642062650
Издательство: Springer
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Цена: 19589.00 р.
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Описание: Game theory has already proved its tremendous potential for con?ict resolution problems in the ?elds of Decision Theory and Economics. The objective of this book is to present a systematic and focussed study of the application of fuzzy sets to two very basic areas of decision theory, namely Mathematical Programming and Matrix Game Theory.

Автор: Antonio J. Conejo; Enrique Castillo; Roberto Mingu
Название: Decomposition Techniques in Mathematical Programming
ISBN: 3642066070 ISBN-13(EAN): 9783642066078
Издательство: Springer
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Цена: 22201.00 р.
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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: Michael Patriksson
Название: Nonlinear Programming and Variational Inequality Problems
ISBN: 1441948066 ISBN-13(EAN): 9781441948069
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: David G. Luenberger; Yinyu Ye
Название: Linear and Nonlinear Programming
ISBN: 1441945040 ISBN-13(EAN): 9781441945044
Издательство: Springer
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Цена: 11878.00 р.
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Описание: This third edition of the classic textbook in Optimization has been fully revised and updated. The book connects the purely analytical character of an optimization problem, and the behavior of algorithms used to solve it. Now, the third edition has been completely updated with recent Optimization Methods.

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.