2012

A parallel approximation algorithm for mixed packing and covering semidefinite programs

Jain, Rahul, Yao, Penghui

Understand

We present a parallel approximation algorithm for a class of mixed packing and covering semidefinite programs which generalize on the class of positive semidefinite programs as considered by Jain and Yao [2011].

  • As a corollary we get a faster approximation algorithm for positive semidefinite programs with better dependence of the parallel running time on the approximation factor, as compared to that of Jain and Yao [2011].
  • Our algorithm and analysis is on similar lines as that of Young [2001] who considered analogous linear programs.

Built on

  • A parallel approximation algorithm for positive linear programming

    M. Luby and N. Nisan · 1993

    Earlier work this paper cites.

  • Sequential and parallel algorithms for mixed packing and covering

    N. E. Young · 2001

    Earlier work this paper cites.

  • Fast algorithms for approximate semidefinite programming using the multiplicative weights update method

    S. Arora, E. Hazan, and S. Kale · 2005

    Earlier work this paper cites.

  • A combinatorial, primal-dual approach to semidefinite programs

    S. Arora and S. Kale · 2007

    Earlier work this paper cites.

Similar

  • Efficient algorithms using the multiplicative weights update method

    S. Kale · 2007

    Cited alongside, same era.

  • Two-message quantum interactive proofs are in PSPACE

    R. Jain, S. Upadhyay, and J. Watrous · 2009

    Cited alongside, same era.

  • Parallel approximation of non-interactive zero-sum quantum games

    R. Jain and J. Watrous · 2009

    Cited alongside, same era.

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