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The State-of-the-Art in Conic Optimization Software

In: Handbook on Semidefinite, Conic and Polynomial Optimization

Author

Listed:
  • Hans D. Mittelmann

    (Arizona State University)

Abstract

This work gives an overview of the major codes available for the solution of linear semidefinite (SDP) and second-order cone (SOCP) programs. Many of these codes also solve linear programs (LP). Some developments since the 7th DIMACS Challenge [10, 18] are pointed out as well as some currently under way. Instead of presenting performance tables, reference is made to the ongoing benchmark webpage [20] as well as other related efforts.

Suggested Citation

  • Hans D. Mittelmann, 2012. "The State-of-the-Art in Conic Optimization Software," International Series in Operations Research & Management Science, in: Miguel F. Anjos & Jean B. Lasserre (ed.), Handbook on Semidefinite, Conic and Polynomial Optimization, chapter 0, pages 671-686, Springer.
  • Handle: RePEc:spr:isochp:978-1-4614-0769-0_23
    DOI: 10.1007/978-1-4614-0769-0_23
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    Cited by:

    1. Victor Blanco & Justo Puerto & Safae El Haj Ben Ali, 2014. "Revisiting several problems and algorithms in continuous location with $$\ell _\tau $$ ℓ τ norms," Computational Optimization and Applications, Springer, vol. 58(3), pages 563-595, July.

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