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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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A Neural Network Approach to the Frictionless Grasping Problem
TL;DR: This article presents a heuristic technique used for solving linear complementarity problems (LCP) that finds almost exact solutions in solvable positions, and very good solutions for positions that Lemke fails to find solutions.
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Adaptive model reduction for nonsmooth discrete element simulation
Martin Servin,Da Wang +1 more
TL;DR: In this paper, a method for adaptive model order reduction for nonsmooth discrete element simulation is developed and analyzed in numerical experiments, where regions of the granular media that collectively move as rigid bodies are substituted with rigid bodies of the corresponding shape and mass distribution.
Journal ArticleDOI
A preconditioned general two-step modulus-based matrix splitting iteration method for linear complementarity problems of H+-matrices
TL;DR: A preconditioned general two-step modulus-based iteration method to solve a class of linear complementarity problems is presented and its convergence theory is proved when the system matrix A is an H+-matrix.
Proceedings ArticleDOI
Learning image similarities via Probabilistic Feature Matching
TL;DR: This paper proposes a novel image similarity learning approach based on Probabilistic Feature Matching (PFM), and proves that the image similarity and the sparsity of the learned matching probability distribution will decrease monotonically with the increase of parameter C in the quadratic formulation.
Journal ArticleDOI
Unique minimum norm solution to redundant reaction forces in multibody systems
TL;DR: In this paper, the conditions under which the minimum norm solution to this problem is non-unique are analyzed and a physical interpretation of the issue is provided, and a simple method to normalize the minimum-norm solution and make it unique is proposed.