A Multiple-Cut Analytic Center Cutting Plane Method for Semidefinite Feasibility Problems
نویسندگان
چکیده
We consider the problem of finding a point in a nonempty bounded convex body Γ in the cone of symmetric positive semidefinite matrices S + . Assume that Γ is defined by a separating oracle, which, for any given m×m symmetric matrix Ŷ , either confirms that Ŷ ∈ Γ or returns several selected cuts, i.e., a number of symmetric matrices Ai, i = 1, ..., p, p ≤ pmax, such that Γ is in the polyhedron {Y ∈ S + | Ai • Y ≤ Ai • Ŷ , i = 1, ..., p}. We present a multiple-cut analytic center cutting plane algorithm. Starting from a trivial initial point, the algorithm generates a sequence of positive definite matrices which are approximate analytic centers of a shrinking polytope in S + . The algorithm terminates with a point in Γ within O(mpmax/ ) Newton steps (to leading order), where is the maximum radius of a ball contained in Γ.
منابع مشابه
An Analytic Center Cutting Plane Method for Semidefinite Feasibility Problems
Semidefinite feasibility problems arise in many areas of operations research. The abstract form of these problems can be described as finding a point in a nonempty bounded convex body Γ in the cone of symmetric positive semidefinite matrices. Assume that Γ is defined by an oracle, which for any given m ×m symmetric positive semidefinite matrix Ŷ either confirms that Ŷ ∈ Γ or returns a cut, i.e....
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ورودعنوان ژورنال:
- SIAM Journal on Optimization
دوره 12 شماره
صفحات -
تاریخ انتشار 2002