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OverviewFull Product DetailsAuthor: John W. ChinneckPublisher: Springer-Verlag New York Inc. Imprint: Springer-Verlag New York Inc. Edition: Softcover reprint of hardcover 1st ed. 2008 Volume: 118 Dimensions: Width: 15.50cm , Height: 1.50cm , Length: 23.50cm Weight: 0.456kg ISBN: 9781441945198ISBN 10: 1441945199 Pages: 274 Publication Date: 23 November 2010 Audience: Professional and scholarly , Professional & Vocational , Postgraduate, Research & Scholarly Format: Paperback Publisher's Status: Active Availability: Out of print, replaced by POD ![]() We will order this item for you from a manufatured on demand supplier. Table of ContentsSeeking Feasibility.- Preliminaries.- Seeking Feasibility in Linear Programs.- Seeking Feasibility in Mixed-Integer Linear Programs.- A Brief Tour of Constraint Programming.- Seeking Feasibility in Nonlinear Programs.- Analyzing Infeasibility.- Isolating Infeasibility.- Finding the Maximum Feasible Subset of Linear Constraints.- Altering Constraints to Achieve Feasibility.- Applications.- Other Model Analyses.- Data Analysis.- Miscellaneous Applications.- Epilogue.ReviewsFrom the reviews: This book is really the first monograph to summarize the growing body of research on the analysis of feasibility and infeasibility of optimization problems. With up to date coverage and very thorough bibliography, it will be of definite interest to researchers working in this area. The book may also be of interest to those readers who are more interested in modeling and applications but want to learn something about techniques for analyzing the feasibility of optimization models. (Brian Borchers, MathDL, March, 2008) From the reviews: This book is really the first monograph to summarize the growing body of research on the analysis of feasibility and infeasibility of optimization problems. With up to date coverage and very thorough bibliography, it will be of definite interest to researchers working in this area. The book may also be of interest to those readers who are more interested in modeling and applications but want to learn something about techniques for analyzing the feasibility of optimization models. (Brian Borchers, MathDL, March, 2008) Author InformationTab Content 6Author Website:Countries AvailableAll regions |