Finding embedded network rows in linear programs. I. Extraction heuristics
Management Science
Introduction to algorithms
A (&Dgr;/2)-approximation algorithm for the maximum independent set problem
Information Processing Letters
Iterative improvement of vertex covers
Information Processing Letters
Detecting Embedded Networks in LP Using GUB Structures and IndependentSet Algorithms
Computational Optimization and Applications
An exact approach to the problem of extracting an embedded network matrix
Computers and Operations Research
Three-Index linear programs with nested structure
Automation and Remote Control
Multi-index transport problems with decomposition structure
Automation and Remote Control
Multiindex transportation problems with 2-embedded structure
Automation and Remote Control
Maximum balanced subgraph problem parameterized above lower bound
Theoretical Computer Science
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It is shown that the problem of detecting a maximum embedded network in a linear program is related to balancing of subgraphs of signed graphs. This approach leads to a simple efficient heuristic to extract an embedded network. The proposed heuristic also determines whether a given linear program is a (reflected) network itself. Some complexity results are obtained and computational results are also reported.