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Column Generation (Dantzig-Wolfe)/Evidence
Method evidence record

Column Generation (Dantzig-Wolfe)

Column Generation, developed by George B. Dantzig and Philip Wolfe in 1960, is a powerful optimization technique for solving large-scale linear programming problems with special structure. Also known as Dantzig-Wolfe Decomposition, it decomposes the problem into a master problem (restricted to a subset of variables/columns) and a pricing subproblem (identifying new variables), iteratively improving the solution by introducing only relevant columns.

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Citations copied verbatim from the method’s source record. No claim-level verification is inferred from them.

Column Generation (Dantzig-Wolfe Decomposition)
Taxonomic method record · ml-model / operations-research
  • Dantzig, G. B., & Wolfe, P. (1960). Decomposition principle for linear programs. Operations Research, 8(1), 101-111. · DOI 10.1287/opre.8.1.101
  • Gilmore, P. C., & Gomory, R. E. (1961). A linear programming approach to the cutting-stock problem. Operations Research, 9(6), 849-859. · DOI 10.1287/opre.9.6.849
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Related methods

Generated from the method graph and shown as machine-suggested relations — no evidence claim is inferred.

Taxonomic bucketAugmented Lagrangian Methodmachine-suggested · Relational suggestion, not evidence.Taxonomic bucketBenders Decompositionmachine-suggested · Relational suggestion, not evidence.Taxonomic bucketSimplex Methodmachine-suggested · Relational suggestion, not evidence.

Evidence status

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Bibliographic sources are present. Claim-level evidence review has not been performed.

Sources

2 recorded citations, copied from the method source record.

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