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In this paper, we propose a theoretical framework of an infeasible interior-point algorithm for solving monotone linear complementarity problems over symmetric cones (SCLCP). The new algorithm gets Newton-like directions from the Chen-Harker-Kanzow-Smale (CHKS) smoothing equation of the SCLCP. It possesses the following features: The starting point is easily chosen; one approximate Newton step is computed and accepted at each iteration; the iterative point with unit stepsize automatically remains in the neighborhood of central path; the iterative sequence is bounded and possesses $$ \mathcal{O} $$ (rL) polynomial-time complexity under the monotonicity and solvability of the SCLCP.
Acta Mathematicae Applicatae Sinica – Springer Journals
Published: Sep 8, 2009
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