Cover Image

Feasibility and Infeasibility in Optimization: Algorithms and Computational Methods /

Constrained optimization models are core tools in business, science, government, and the military with applications including airline scheduling, control of petroleum refining operations, investment decisions, and many others. Constrained optimization models have grown immensely in scale and complex...

Full description

Main Author: Chinneck, John W. (Author, http://id.loc.gov/vocabulary/relators/aut)
Corporate Author: SpringerLink (Online service)
Language:English
Published: New York, NY : Springer US : Imprint: Springer, 2008.
Edition:1st ed. 2008.
Series:International Series in Operations Research & Management Science, 118
Subjects:
Mathematical optimization.
Operations research.
Decision making.
Mathematical models.
Engineering economics.
Engineering economy.
Industrial engineering.
Production engineering.
Econometrics.
Optimization.
Operations Research/Decision Theory.
Mathematical Modeling and Industrial Mathematics.
Engineering Economics, Organization, Logistics, Marketing.
Industrial and Production Engineering.
Online Access:https://doi.org/10.1007/978-0-387-74932-7
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.

Similar Items