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Author : Leonid Hurwicz,Hirofumi Uzawa
Publisher : Unknown
Page : 242 pages
File Size : 46,6 Mb
Release : 2012-07-01
Category : Electronic
ISBN : 1258450143
Additional Contributing Authors Include Thomas Marschak, Robert Solow, Samuel Karlin, And Others.
Author : Kenneth J. Arrow,Leonid Hurwicz,Hirofumi Uzawa
Publisher : Unknown
Page : 229 pages
File Size : 52,5 Mb
Release : 1962
Category : Electronic
ISBN : OCLC:637421658
Author : Leonid Hurwicz,Hirofumi Uzawa
Publisher : Unknown
Page : 242 pages
File Size : 42,7 Mb
Release : 2012-07-01
Category : Electronic
ISBN : 1258444062
Additional Contributing Authors Include Thomas Marschak, Robert Solow, Samuel Karlin, And Others.
Author : Kenneth Joseph Arrow
Publisher : Unknown
Page : 229 pages
File Size : 50,9 Mb
Release : 1964
Category : Economics
ISBN : OCLC:12697541
Author : Richard W. Cottle,Mukund N. Thapa
Publisher : Springer
Page : 614 pages
File Size : 44,8 Mb
Release : 2017-06-11
Category : Business & Economics
ISBN : 9781493970551
This textbook on Linear and Nonlinear Optimization is intended for graduate and advanced undergraduate students in operations research and related fields. It is both literate and mathematically strong, yet requires no prior course in optimization. As suggested by its title, the book is divided into two parts covering in their individual chapters LP Models and Applications; Linear Equations and Inequalities; The Simplex Algorithm; Simplex Algorithm Continued; Duality and the Dual Simplex Algorithm; Postoptimality Analyses; Computational Considerations; Nonlinear (NLP) Models and Applications; Unconstrained Optimization; Descent Methods; Optimality Conditions; Problems with Linear Constraints; Problems with Nonlinear Constraints; Interior-Point Methods; and an Appendix covering Mathematical Concepts. Each chapter ends with a set of exercises. The book is based on lecture notes the authors have used in numerous optimization courses the authors have taught at Stanford University. It emphasizes modeling and numerical algorithms for optimization with continuous (not integer) variables. The discussion presents the underlying theory without always focusing on formal mathematical proofs (which can be found in cited references). Another feature of this book is its inclusion of cultural and historical matters, most often appearing among the footnotes. "This book is a real gem. The authors do a masterful job of rigorously presenting all of the relevant theory clearly and concisely while managing to avoid unnecessary tedious mathematical details. This is an ideal book for teaching a one or two semester masters-level course in optimization – it broadly covers linear and nonlinear programming effectively balancing modeling, algorithmic theory, computation, implementation, illuminating historical facts, and numerous interesting examples and exercises. Due to the clarity of the exposition, this book also serves as a valuable reference for self-study." Professor Ilan Adler, IEOR Department, UC Berkeley "A carefully crafted introduction to the main elements and applications of mathematical optimization. This volume presents the essential concepts of linear and nonlinear programming in an accessible format filled with anecdotes, examples, and exercises that bring the topic to life. The authors plumb their decades of experience in optimization to provide an enriching layer of historical context. Suitable for advanced undergraduates and masters students in management science, operations research, and related fields." Michael P. Friedlander, IBM Professor of Computer Science, Professor of Mathematics, University of British Columbia
Author : David G. Luenberger
Publisher : Springer Science & Business Media
Page : 514 pages
File Size : 48,9 Mb
Release : 2003-09-30
Category : Mathematics
ISBN : 1402075936
The original edition of this book was celebrated for its coverage of the central concepts of practical optimization techniques. This updated edition expands and illuminates the connection between the purely analytical character of an optimization problem, expressed by properties of the necessary conditions, and the behavior of algorithms used to solve a problem. Incorporating modern theoretical insights, this classic text is even more useful.
Author : Stephen G. Nash,Ariela Sofer
Publisher : McGraw-Hill Science, Engineering & Mathematics
Page : 744 pages
File Size : 45,9 Mb
Release : 1996
Category : Computers
ISBN : UOM:39076002096514
A complete and unified introduction to applications, theory and algorithms which contains modelling examples, computer based exercises and material on interior point methods and trust-region methods. Gives both numerical methods for optimisation and optomisation problems.
Author : Katta G. Murty
Publisher : Unknown
Page : 708 pages
File Size : 52,6 Mb
Release : 1988
Category : Linear complementarity problem
ISBN : UOM:39015013062545
Author : Saul I. Gass
Publisher : Courier Corporation
Page : 545 pages
File Size : 45,5 Mb
Release : 2003-01-01
Category : Mathematics
ISBN : 9780486432847
Comprehensive, well-organized volume, suitable for undergraduates, covers theoretical, computational, and applied areas in linear programming. Expanded, updated edition; useful both as a text and as a reference book. 1995 edition.
Author : Roger Hartley
Publisher : Unknown
Page : 232 pages
File Size : 46,8 Mb
Release : 1985
Category : Mathematics
ISBN : STANFORD:36105032240439
Author : Dimitri P. Bertsekas
Publisher : Goodman Publishers
Page : 806 pages
File Size : 43,9 Mb
Release : 1999
Category : Mathematical optimization
ISBN : UOM:39076002258387
Author : Jerome Bracken,Garth P. McCormick
Publisher : New York : Wiley
Page : 136 pages
File Size : 44,6 Mb
Release : 1968
Category : Mathematics
ISBN : UOM:39015000491657
Author : Mordecai Avriel
Publisher : Unknown
Page : 512 pages
File Size : 51,5 Mb
Release : 1976
Category : Nonlinear programming
ISBN : OCLC:848329101
Author : Mokhtar S. Bazaraa,Hanif D. Sherali,C. M. Shetty
Publisher : Unknown
Page : 666 pages
File Size : 50,7 Mb
Release : 1993
Category : Mathematics
ISBN : UOM:39015052839894
Presents recent developments of key topics in nonlinear programming using a logical and self-contained format. Divided into three sections that deal with convex analysis, optimality conditions and duality, computational techniques. Precise statements of algorithms are given along with convergence analysis. Each chapter contains detailed numerical examples, graphical illustrations and numerous exercises to aid readers in understanding the concepts and methods discussed.
Author : S. Vajda
Publisher : Unknown
Page : 268 pages
File Size : 54,5 Mb
Release : 1975
Category : Linear programming
ISBN : UOM:39076005250506