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

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Maurizio Gasseau Leandra Perrottaa different version of PATH for each interface, the code was reorganized using object-oriented design techniques. At the same time, robustness issues were considered and enhancements made to the algorithm. In this paper, we document the external interfaces to the PATH code and describe some of the n

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,Grundlagen der Logop?dieausbildung,omovitz constraint qualification and the existence of a strictly positive multiplier (but possibly dependent constraint gradients), he proved a local quadratic convergence result. In this paper, we establish quadratic convergence in cases where both strict complementarity and the Mangasarian-Fromovi

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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.

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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.

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