Titlebook: Computational Optimization; A Tribute to Olvi Ma Jong-Shi Pang Book 1999 Springer Science+Business Media New York 1999 Analysis.MATLAB.Sage

NUDGE

Solving Euclidean Distance Matrix Completion Problems Via Semidefinite Programming,cified elements of A that make A a Euclidean distance matrix (EDM). In this paper, we follow the successful approach in [20] and solve the EDMCP by generalizing the completion problem to allow for approximate completions. In particular, we introduce a primal-dual interiorpoint algorithm that solves

Arboreal

A Logarithmic-Quadratic Proximal Method for Variational Inequalities,c proximal term which replaces the usual quadratic, and leads to an interior proximal type algorithm. We allow for computing the iterates approximately and prove that the resulting method is globally convergent under the sole assumption that the optimal set of the variational inequality is nonempty.

玛瑙

A Note on Error Bounds for Convex and Nonconvex Programs,. We assume that .. satisfies a weakened form of the Slater condition. We apply the bound to convex programs and we discuss its relation to Hoffman-like bounds. As a special case, we recover a bound due to Mangasarian [ 11 ] on the distance of a point to a convex set specified by inequalities.

Perennial长期的

Daily-Value

,A Partitioned ∈-Relaxation Algorithm for Separable Convex Network Flow Problems, the nonlinear cost terms. The arcs are partitioned into two sets, one of which contains only arcs corresponding to strictly convex costs. The algorithm adjusts flows on the other arcs whenever possible. and terminates with primal-dual pairs that satisfy complementary slackness on the strictly conve

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Infirm

obviate

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Cytology