Description
Springer Feasibility And Infeasibility In Optimization Algorithms And Computational Methods 2007 Edition by John W. Chinneck
Written by a world leader in the field and aimed at researchers in applied and engineering sciences this brilliant text has as its main goal imparting an understanding of the methods so that practitioners can make immediate use of existing algorithms and software and so that researchers can extend the state of the art and find new applications. It includes algorithms on seeking feasibility and analyzing infeasibility as well as describing new and surprising applications. Table of contents : Seeking 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.