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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 block principal pivoting algorithm for vertical generalized LCP with a vertical block P-matrix
TL;DR: In this paper, an extension of the Block Principal Pivoting (BPP) algorithm for finding the unique solution of the Vertical Generalized Linear Complementarity Problem (VGLCP) with vertical block P-matrices is presented.
Plausible 3D Human Hand Modeling for Virtual Ergonomic Assessments of Handheld Product : Construction, Contact simulation and Variational Modeling [an abstract of dissertation and a summary of dissertation review]
TL;DR: In this paper, the authors propose a solution to solve the problem of the problem: this paper..., i.e., the solution is to solve it...........................................................................................................................................
Journal ArticleDOI
Parameterized Complexity of Sparse Linear Complementarity Problems
TL;DR: This paper presents a fixed-parameter algorithm for the linear complementarity problem with the combined parameter and shows that if the authors drop any of the three parameters, then the LCP is NP-hard or W[1]-hard.
Proceedings Article
Building contextual anchor text representation using graph regularization
TL;DR: This work proposes an anchor graph regularization approach to incorporate constraints from such context into anchor text weighting process, casting the task into a convex quadratic optimization problem.
Journal ArticleDOI
Distributed identification of the lineality space of a cone
TL;DR: Results show that both approaches perform comparably when solving distributed LS problems, which indicates that when deciding which parallel approach to use, the implementation details particular to the method are the decisive factors, which in this investigation give MPICH2 MPI the advantage.