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Getting the most from MATLAB: ditching canned routines and embracing coder

Author

Listed:
  • John Gibson

    (Department of Economics, Georgia State University)

  • James P Henson

    (Department of Economics, Georgia State University)

Abstract

This paper demonstrates the efficiency gains that can be realized by replacing canned routine calls within MATLAB with user-generated versions that simplify the underlying computations. Once canned routines have been replaced, we integrate C++ executables (or MEX files) using MATLAB's Coder to automatically convert our MATLAB code. We demonstrate these efficiency gains by computing the stationary equilibria and associated transition path for an economy with incomplete insurance markets following a change in government debt policy. The combined process of replacing calls to canned routines and integrating MEX files reduces our runtime from just over 24 hours to approximately 16 minutes.

Suggested Citation

  • John Gibson & James P Henson, 2016. "Getting the most from MATLAB: ditching canned routines and embracing coder," Economics Bulletin, AccessEcon, vol. 36(4), pages 2519-2525.
    • Handle: RePEc:ebl:ecbull:eb-16-00719
    as

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    References listed on IDEAS

    as
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    More about this item

    Keywords

    MATLAB; C++; MATLAB Coder; Incomplete Markets; Stationary Distribution; Transitional Dynamics;
    All these keywords.

    JEL classification:

    • C6 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling
    • E2 - Macroeconomics and Monetary Economics - - Consumption, Saving, Production, Employment, and Investment

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