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Linear complementarity, linear and nonlinear programming

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The article was published on 1988-01-01 and is currently open access. It has received 1012 citations till now. The article focuses on the topics: Mixed complementarity problem & Complementarity theory.

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The Summarization of Hierarchical Data with Exceptions

Shaofeng Bu
TL;DR: This thesis brings up a methodology that focuses on generating the summarization with exceptions of the hierarchical data, i.e. MDL with exceptions, and aims to find the shortest description with exceptions to cover all “interesting cells”.
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MSSOR-based alternating direction method for symmetric positive-definite linear complementarity problems

TL;DR: This paper proposes a new method using an alternating direction (AD) technique based on a modified symmetric successive overrelaxation (MSSOR) for LCP, assuming that the real matrix of the LCP is symmetric positive definite.
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Elastic analysis and application tables of rectangular plates with unilateral contact support conditions

TL;DR: In this article, a numerical methodology for the elastic analysis of single plates is presented, which takes into account any unilateral support conditions (uplift potential) that can occur in one or more supporting boundaries.
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An alternative error bound for linear complementarity problems involving B S $B^{S}$ -matrices

TL;DR: It is shown by numerical examples that the new bound is better than that provided by García-Esnaola and Peña (Appl.
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A semi-smooth Newton method for a special piecewise linear system with application to positively constrained convex quadratic programming

TL;DR: In this article, the semi-smooth Newton method was applied to the convex quadratic programming problem under positive constraints. And the results showed that the generated sequence is bounded, for any starting point, and a formula for any accumulation point of this sequence is presented.
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