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Policy Scenario Integer Programming/Evidence
Method evidence record

Policy Scenario Integer Programming

Policy Scenario Integer Programming (PSIP) solves an integer programming model — where some or all decision variables must take whole-number values — separately under each of several distinct policy scenarios, then compares objective values, feasibility, and solution structures to identify which policy environment leads to the best discrete allocation or assignment outcome.

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

Policy Scenario Integer Programming — Discrete Optimization Across Policy Alternatives
Taxonomic method record · process-pipeline / simulation
  • Birge, J. R., & Louveaux, F. (2011). Introduction to Stochastic Programming (2nd ed.). Springer. · ISBN 9781461402367
  • Williams, H. P. (2013). Model Building in Mathematical Programming (5th ed.). Wiley. · ISBN 9781118443330
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Related methods

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

Taxonomic bucketRobust Integer Programmingmachine-suggested · Relational suggestion, not evidence.Taxonomic bucketStochastic Integer Programmingmachine-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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