Polynomial Primal-Dual Cone Affine Scaling for Semidefinite Programming
Arjan Berkelaar,
J.F. Sturm and
Shuzhong Zhang
No EI 9667-/A, Econometric Institute Research Papers from Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute
Abstract:
In this paper we generalize the primal--dual cone affine scaling algorithm of Sturm and Zhang to semidefinite programming. We show in this paper that the underlying ideas of the cone affine scaling algorithm can be naturely applied to semidefinite programming, resulting in a new algorithm. Compared to other primal--dual affine scaling algorithms for semidefinite programming, our algorithm enjoys the lowest computational complexity.
Keywords: affine scaling; primal--dual Interior point methods; semidefinite programming (search for similar items in EconPapers)
Date: 1996-01-01
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Persistent link: https://EconPapers.repec.org/RePEc:ems:eureir:1397
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