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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.read more
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Schur Complement-Based Infinity Norm Bounds for the Inverse of SDD Matrices
TL;DR: Based on the Schur complement, two upper bounds for the infinity norm of the inverse of strictly diagonally dominant matrices are presented in this article, and they apply these new bounds to linear complementarity problems and obtain an alternative error bound for B-matrices.
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Lipschitzian Q -matrices are P -matrices
TL;DR: In this note, it is shown that LipschitzianQ-matrices areP-matrix by obtaining a necessary condition on LipsChitzian Q0-matrics by obtaining the sufficiency of this condition by the first two authors along with another coauthor.
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Vertical linear complementarity and discounted zero-sum stochastic games with ARAT structure
TL;DR: It is shown that Cottle-Dantzig's algorithm (a generalization of Lemke’s algorithm) can solve the problem of computing a pair of pure optimal stationary strategies and the corresponding value vector of such a game as a vertical linear complementarity problem.
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A block active set algorithm for large-scalequadratic programming with box constraints
TL;DR: An algorithm for computing a stationary point of a quadratic program with box constraints (BQP) is proposed and it is shown that the algorithm terminates after a finite number of iterations, if at least one iterate is sufficiently close to a stationary Point which satisfies a certain sufficient optimality condition.
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A Probabilistic Feature Map-Based Localization System Using a Monocular Camera
TL;DR: A more accurate localization method is proposed based on a probabilistic map using 3D-to-2D matching correspondences between a map and a query image to improve accuracy.