Integer Programming Post-Optimal Analysis with Cutting Planes
Dieter Klein, Søren Holm
Abstract
Dieter Klein, Søren Holm
Abstract
Sufficient conditions have been developed for testing the optimality of solutions to all-integer and mixed-integer linear programming problems after coefficient changes in the right hand side and the objective function, or after introduction of new variables. The same conditions can be used as necessary conditions for coefficient changes to alter an optimal solution. The tests are based on cutting-plane theory, and the application of the tests requires solution of the original integer problem with a cutting-plane algorithm.
OpenAlex reports 50 citations for this work. Citation counts describe recorded attention and do not establish research quality.
A contribution statement is not available in the OpenAlex record.
Method details are not available in the OpenAlex metadata.
Findings are not separately available in the OpenAlex metadata.
Limitations are not available in the OpenAlex metadata.
Application details are not available in the OpenAlex metadata.
Sufficient conditions have been developed for testing the optimality of solutions to all-integer and mixed-integer linear programming problems after coefficient changes in the right hand side and the objective function, or after introduction of new variables. The same conditions can be used as necessary conditions for coefficient changes to alter an optimal solution. The tests are based on cutting-plane theory, and the application of the tests requires solution of the original integer problem with a cutting-plane algorithm.
Key concepts: Cutting-plane method, Integer programming, Integer (computer science), Mathematical optimization, Mathematics, Branch and price, Plane (geometry), Linear programming