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Linear Programming/Evidence
Method evidence record

Linear Programming

Linear programming (LP), pioneered by George B. Dantzig in 1947, is a mathematical method for finding the best value of a linear objective function — such as minimum cost or maximum profit — subject to a set of linear inequality and equality constraints. It is the foundational technique in operations research and underlies production planning, resource allocation, logistics, diet problems, and countless other decision-making scenarios across engineering, economics, and the natural sciences.

Sources recorded, not reviewed

Source record

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

Linear Programming (LP)
Taxonomic method record · process-pipeline / optimization
  • Dantzig, G.B. (1963). Linear Programming and Extensions. Princeton University Press. · ISBN 9780691059136
  • Vanderbei, R.J. (2014). Linear Programming: Foundations and Extensions. Springer. · DOI 10.1007/978-1-4614-7630-6
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Curated claims

Claims persisted in the evidence ledger, each with its own assessment.

No curated claims yet

This view does not invent a claim assessment when the ledger has none.

Related methods

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

See alsoGOAL-PROGRAMMINGmachine-suggested · Relational suggestion, not evidence.Same method familyInteger Programmingmachine-suggested · Relational suggestion, not evidence.Same method familyNonlinear Programmingmachine-suggested · Relational suggestion, not evidence.Same method familyStochastic Optimizationmachine-suggested · Relational suggestion, not evidence.

Evidence status

Sources recorded, not reviewed

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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