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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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Nonlinear analysis of flexural wave propagation through 1D waveguides with a breathing crack

TL;DR: In this paper, a Fourier transform based spectral finite element method is employed in an iterative manner to analyze the nonlinear response of the cracked beam subjected to a transverse tone burst excitation.
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A Long-step barrier method for convex quadratic programming

TL;DR: It is proved that the total number of iterations isO(√nL) orO(nL), depending on how the barrier parameter is updated.
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Semi-supervised semantic factorization hashing for fast cross-modal retrieval

TL;DR: This work proposes a novel approach, Semi-Supervised Semantic Factorization Hashing (S3FH), to improve semantic labels and factorize it into hash codes, which optimizes a joint framework which consists of three interactive parts, including semantic factorization, multi-graph learning and multi-modal correlation.
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On the Solution of NP-hard Linear Complementarity Problems

TL;DR: It is shown that these enumerative algorithms for the Linear Complementarity Problems are efficient for processing NP-hardLCPs associated with reformulations of the Knapsack problem and should be recommended to solve difficultLCPs.
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Linear complementarity problems and multiple objective programming

TL;DR: An equivalence is demonstrated between solving a linear complementarity problem with general data and finding a certain subset of the efficient points of a multiple objective programming problem.
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