Description: Linear Programming: Foundations and Extensions by Robert J. Vanderbei At this point, software for the following four algorithms is available: The two-phase simplex method The primal-dual simplex method The path-following interior-point method The homogeneous self-dual methods.£/LIST£. FORMAT Hardcover LANGUAGE English CONDITION Brand New Publisher Description This book focuses largely on constrained optimization. It begins with a substantial treatment of linear programming and proceeds to convex analysis, network flows, integer programming, quadratic programming, and convex optimization. Along the way, dynamic programming and the linear complementarity problem are touched on as well. This book aims to be the first introduction to the topic. Specific examples and concrete algorithms precede more abstract topics. Nevertheless, topics covered are developed in some depth, a large number of numerical examples worked out in detail, and many recent results are included, most notably interior-point methods. The exercises at the end of each chapter both illustrate the theory, and, in some cases, extend it. Optimization is not merely an intellectual exercise: its purpose is to solve practical problems on a computer. Accordingly, the book comes with software that implements the major algorithms studied. At this point, software for the following four algorithms is available: The two-phase simplex method The primal-dual simplex method The path-following interior-point method The homogeneous self-dual methods. Table of Contents Preface. Part 1: Basic Theory - The Simplex Method and Duality. 1. Introduction. 2. The Simplex Method. 3. Degeneracy. 4. Efficiency of the Simplex Method. 5. Duality Theory. 6. The Simplex Method in Matrix Notation. 7. Sensitivity and Parametric Analyses. 8. Implementation Issues. 9. Problems in General Form. 10. Convex Analysis. 11. Game Theory. 12. Regression. Part 2: Network-Type Problems. 13. Network Flow Problems. 14. Applications. 15. Structural Optimization. Part 3: Interior-Point Methods. 16. The Central Path. 17. A Path-Following Method. 18. The KKT System. 19. Implementation Issues. 20. The Affine-Scaling Method. 21. The Homogeneous Self-Dual Method. Part 4: Extensions. 22. Integer Programming. 23. Quadratic Programming. 24. Convex Programming. Appendix A: Source Listings. Answers to Selected Exercises. Bibliography. Index. Review `Vanderbeis book is thoroughly modern. Vanderbeis book has many novel features. Some nice features. This book has style. Overall, I greatly enjoyed reviewing this book, and I highly recommend it as a textbook for an advanced undergraduate or masters level course in linear programming, particularly for courses in an engineering environment. In addition, it also is a good reference book for interior point methods as well as for implementation and computational aspects of linear programming. This is an excellent new book. Robert Freund, (MIT) in Optima, 56 (1997) `In conclusion, Vanderbeis book gives an excellent introduction to linear programminbg, especially the algorithmic side of the subject. The book is highly recommended for both self study and as teaching material. Optima, 58 (1998) Review Text Vanderbeis book is thoroughly modern. Vanderbeis book has many novel features. Some nice features. This book has style. Overall, I greatly enjoyed reviewing this book, and I highly recommend it as a textbook for an advanced undergraduate or masters level course in linear programming, particularly for courses in an engineering environment. In addition, it also is a good reference book for interior point methods as well as for implementation and computational aspects of linear programming. This is an excellent new book. Robert Freund, (MIT) in Optima, 56 (1997) In conclusion, Vanderbeis book gives an excellent introduction to linear programminbg, especially the algorithmic side of the subject. The book is highly recommended for both self study and as teaching material. Optima, 58 (1998) Review Quote Vanderbeis book is thoroughly modern. Vanderbeis book has many novel features. Some nice features. This book has style. Overall, I greatly enjoyed reviewing this book, and I highly recommend it as a textbook for an advanced undergraduate or masters level course in linear programming, particularly for courses in an engineering environment. In addition, it also is a good reference book for interior point methods as well as for implementation and computational aspects of linear programming. This is an excellent new book. Robert Freund, (MIT) in Optima, 56 (1997) In conclusion, Vanderbeis book gives an excellent introduction to linear programminbg, especially the algorithmic side of the subject. The book is highly recommended for both self study and as teaching material. Optima, 58 (1998) Details ISBN0792398041 Author Robert J. Vanderbei Series International Series in Operations Research & Management Science Language English ISBN-10 0792398041 ISBN-13 9780792398042 Media Book Format Hardcover DEWEY 519.7 Series Number 4 Year 1996 Publication Date 1996-12-31 Subtitle Foundations and Extensions Place of Publication Dordrecht Edited by Robert J. Vanderbei Short Title LINEAR PROGRAMMING FOUNDATIONS Publisher Springer Pages 418 Imprint Springer Country of Publication Netherlands Replaced by 9780792373421 DOI 10.1007/b110825 Edition Description 1997 ed. Edition 1997th Alternative 9780792381419 Illustrations XVIII, 418 p. Audience Postgraduate, Research & Scholarly We've got this At The Nile, if you're looking for it, we've got it. With fast shipping, low prices, friendly service and well over a million items - you're bound to find what you want, at a price you'll love! 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ISBN-13: 9780792398042
Book Title: Linear Programming: Foundations and Extensions
Item Height: 235mm
Item Width: 155mm
Author: Robert J. Vanderbei
Format: Hardcover
Language: English
Topic: Engineering & Technology, Mathematics, Management
Publisher: Springer
Publication Year: 1996
Type: Textbook
Item Weight: 1750g
Number of Pages: 418 Pages