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Everything about Extended Mathematical Programming

Algebraic modeling languages like AIMMS, AMPL, GAMS, MPL and others have been developed to facilitate the description of a problem in mathematical terms and to link the abstract formulation with data-management systems on the one hand and appropriate algorithms for solution on the other. Robust algorithms and modeling language interfaces have been developed for a large variety of mathematical programming problems such as linear programs (LPs), nonlinear programs (NPs), mixed integer programs (MIPs), mixed complementarity programs (MCPs) and others. Researchers are constantly updating the types of problems and algorithms that they wish to use to model in specific domain applications. Wikipedia →

đź§­ Start here: a 6-step reading path

  1. Read the overview: Extended Mathematical ProgrammingA 5-minute orientation
  2. Pick up a classic book: String-Math 2016The most-reprinted book on the subject
  3. Read the landmark paper: An extended mathematical programming frameworkCited 49 times
  4. Go sideways: Bilevel optimizationA closely related topic
  5. Go sideways: Complementarity theoryA closely related topic

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🏆 Landmark papers (most cited)

📚 Books worth reading

Ranked by number of editions on Open Library, a rough measure of how lasting a book is.

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