An analytic center cutting plane approach for conic programming

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Authors:

Vasile L. Basescu
vbasescu at comcast.net

John E. Mitchell
Department of Mathematical Sciences
Rensselaer Polytechnic Institute
Troy, NY 12180 USA
mitchj@rpi.edu

June 22, 2005.

Abstract:

We analyze the problem of finding a point strictly interior to a bounded, fully dimensional set from a finite dimensional Hilbert space. We generalize the results obtained for the LP, SDP and SOCP cases. The cuts added by our algorithm are central and conic. In our analysis, we find an upper bound for the number of Newton steps required to compute an approximate analytic center. Also, we provide an upper bound for the total number of cuts added to solve the problem. This bound depends on the quality of the cuts, the dimensionality of the problem and the thickness of the set we are considering.

Keywords: cutting plane, cutting surface, analytic center, conic programming, feasibility problem

Accepted for publication in Mathematics of Operations Research.

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Also of interest: Basescu's thesis

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