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Integer Programming

Integer programming (IP), also called mixed-integer programming (MIP) when only some variables are restricted to whole numbers, is a branch of mathematical optimisation in which some or all decision variables must take integer or binary values. Building on linear programming, it was formalised through Ralph Gomory's cutting-plane method (1958) and the Land-and-Doig branch-and-bound algorithm (1960), and it has since become the standard exact framework for scheduling, assignment, routing, and resource-allocation problems.

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Integer Programming (IP / Mixed-Integer Programming)

Taxonomisk metodpost · process-pipeline / optimization

Wolsey, L.A. (1998). Integer Programming. Wiley. · ISBN 9780471283669
Nemhauser, G.L. & Wolsey, L.A. (1988). Integer and Combinatorial Optimization. Wiley. · ISBN 9780471359432

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Same method familyConstraint Programmingmachine-suggested · Relational suggestion, not evidence.Same method familyDynamic Programmingmachine-suggested · Relational suggestion, not evidence.See alsoGOAL-PROGRAMMINGmachine-suggested · Relational suggestion, not evidence.Same method familyLinear Programmingmachine-suggested · Relational suggestion, not evidence.