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Decomposition of linear programs using parallel computation

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Abstract

This paper describes DECOMPAR: an implementation of the Dantzig-Wolfe decomposition algorithm for block-angular linear programs using parallel processing of the subproblems. The software is based on a robust experimental code for LP decomposition and runs on the CRYSTAL multicomputer at the University of Wisconsin-Madison. Initial computational experience is reported. Promising directions in future development of this approach are discussed.

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References

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Authors and Affiliations

  1. Management Science Program, College of Business Administration, University of Tennesse, 37996-0562, Knoxville, TN, USA

    James K. Ho, Tak C. Lee & R. P. Sundarraj

Authors
  1. James K. Ho
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  2. Tak C. Lee
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  3. R. P. Sundarraj
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Additional information

Research supported in part by the Office of Naval Research under grant N00014-87-K-0163.

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Ho, J.K., Lee, T.C. & Sundarraj, R.P. Decomposition of linear programs using parallel computation. Mathematical Programming 42, 391–405 (1988). https://doi.org/10.1007/BF01589413

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  • DOI: https://doi.org/10.1007/BF01589413

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