Overview

"This textbook for students and practitioners presents a practical approach to decomposition techniques in optimization. It provides an appropriate blend of theoretical background and practical applications in engineering and science, which makes the book interesting for practitioners, as well as engineering, operations research and applied economics graduate and postgraduate students. ""Decomposition Techniques in Mathematical Programming"" is based on clarifying, illustrative and computational examples and applications from electrical, mechanical, energy and civil engineering as well as applied mathematics and economics. It addresses decomposition in linear programming, mixed-integer linear programming, nonlinear programming, and mixed-integer nonlinear programming, and provides rigorous decomposition algorithms as well as heuristic ones. Practical applications are developed up to working algorithms that can be readily used. The theoretical background of the book is deep enough to be of interest to applied mathematicians. It includes end of chapter exercises and the solutions of the even numbered exercises are included as an appendix."

Full Product Details

Author:   Antonio J. Conejo ,  Enrique Castillo ,  Roberto Minguez ,  Raquel Garcia-Bertrand
Publisher:   Springer-Verlag Berlin and Heidelberg GmbH & Co. KG
Imprint:   Springer-Verlag Berlin and Heidelberg GmbH & Co. K
Edition:   Softcover reprint of hardcover 1st ed. 2006
Dimensions:   Width: 15.50cm , Height: 2.80cm , Length: 23.50cm
Weight:   0.848kg
ISBN:  

9783642066078

ISBN 10:   3642066070
Pages:   542
Publication Date:   12 February 2010
Audience:   Professional and scholarly ,  Professional & Vocational
Format:   Paperback
Publisher's Status:   Active
Availability:   In Print  
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Reviews

From the reviews: A review of a large variety of optimization models where decomposition is used, and to present the available methods in a clear, illustrative, and application-oriented way. ! The large number of examples and exercises with applications from economics and electrical, mechanical, energy, and civil engineering makes the book extremely valuable for people working in these areas who want to get a quick ! and qualified, introduction to relevant decomposition techniques. The large number of exercises makes it attractive as a textbook ! . (K. Schittkowski, Mathematical Reviews, Issue 2007 e) Mathematical programming is one of the main techniques used in theoretical and applied operations research (OR). ! This book is primarily oriented to the students in science and engineering. However, its material and style of presentation also make it suitable for students of business management, OR, and applied economics. ! I think that this book would be valuable in the libraries of all institutions that teach advanced mathematical-programming courses ! . (A. A ilinskas, Interfaces, Vol. 37 (5), 2007)

From the reviews: A review of a large variety of optimization models where decomposition is used, and to present the available methods in a clear, illustrative, and application-oriented way. ! The large number of examples and exercises with applications from economics and electrical, mechanical, energy, and civil engineering makes the book extremely valuable for people working in these areas who want to get a quick ! and qualified, introduction to relevant decomposition techniques. The large number of exercises makes it attractive as a textbook ! . (K. Schittkowski, Mathematical Reviews, Issue 2007 e) Mathematical programming is one of the main techniques used in theoretical and applied operations research (OR). ! This book is primarily oriented to the students in science and engineering. However, its material and style of presentation also make it suitable for students of business management, OR, and applied economics. ! I think that this book would be valuable in the libraries of all institutions that teach advanced mathematical-programming courses ! . (A. Zilinskas, Interfaces, Vol. 37 (5), 2007)

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