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Analyzing Mathematical Programs Using MProbe

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  • John Chinneck

Abstract

Just as modern general-purpose programming languages (e.g., C++, Java) are supported by a suite of tools (debuggers, profilers, etc.), mathematical programming languages need supporting tools. MProbe is an example of a suite of tools supporting a mathematical programming language, in this case AMPL. MProbe includes tools for empirically estimating the shape of nonlinear functions of many variables, nonlinearly-constrained region shape, the effect of the objective shape on the ability to find a global optimum, tools for estimating the effectiveness of constraints and for navigating through the model, among others. Copyright Kluwer Academic Publishers 2001

Suggested Citation

  • John Chinneck, 2001. "Analyzing Mathematical Programs Using MProbe," Annals of Operations Research, Springer, vol. 104(1), pages 33-48, April.
    • Handle: RePEc:spr:annopr:v:104:y:2001:i:1:p:33-48:10.1023/a:1013178600790
    DOI: 10.1023/A:1013178600790
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    Cited by:

    1. Goetz, Renan-Ulrich & Keusch, Alois, 2005. "Dynamic efficiency of soil erosion and phosphor reduction policies combining economic and biophysical models," Ecological Economics, Elsevier, vol. 52(2), pages 201-218, January.
    2. R. Fourer & Dominique Orban, 2010. "DrAmpl: a meta solver for optimization problem analysis," Computational Management Science, Springer, vol. 7(4), pages 437-463, October.
    3. Ramayya Krishnan & James Peters & Rema Padman & David Kaplan, 2005. "On Data Reliability Assessment in Accounting Information Systems," Information Systems Research, INFORMS, vol. 16(3), pages 307-326, September.
    4. Robert Fourer & Chandrakant Maheshwari & Arnold Neumaier & Dominique Orban & Hermann Schichl, 2010. "Convexity and Concavity Detection in Computational Graphs: Tree Walks for Convexity Assessment," INFORMS Journal on Computing, INFORMS, vol. 22(1), pages 26-43, February.

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