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Integer Quadratic Programming Models in Computational Biology

In: Operations Research Proceedings 2006

Author

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  • Harvey J. Greenberg

    (University of Colorado at Denver and Health Sciences Center)

Abstract

This presentation has two purposes: (1) show operations researchers how they can apply quadratic binary programming to current problems in molecular biology, and (2) show formulations of some combinatorial optimization problems as integer programs. The former purpose is primary, and I wish to persuade researchers to enter this exciting frontier. The latter purpose is part of a work in progress.

Suggested Citation

  • Harvey J. Greenberg, 2007. "Integer Quadratic Programming Models in Computational Biology," Operations Research Proceedings, in: Karl-Heinz Waldmann & Ulrike M. Stocker (ed.), Operations Research Proceedings 2006, pages 83-95, Springer.
    • Handle: RePEc:spr:oprchp:978-3-540-69995-8_14
    DOI: 10.1007/978-3-540-69995-8_14
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    Cited by:

    1. Hoai Le Thi & Tao Pham Dinh & Moulay Belghiti, 2014. "DCA based algorithms for multiple sequence alignment (MSA)," Central European Journal of Operations Research, Springer;Slovak Society for Operations Research;Hungarian Operational Research Society;Czech Society for Operations Research;Österr. Gesellschaft für Operations Research (ÖGOR);Slovenian Society Informatika - Section for Operational Research;Croatian Operational Research Society, vol. 22(3), pages 501-524, September.

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