Copositivity tests based on the linear complementarity problem [PDF]
Copositivity tests are presented based on new necessary and suffcient conditions requiring the solution of linear complementarity problems (LCP). Methodologies involving Lemke's method, an enumerative algorithm and a linear mixed-integer programming ...
Judice, Joaquim +2 more
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An alternative error bound for linear complementarity problems involving [Formula: see text]-matrices. [PDF]
Gao L.
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Stability Of Linear Equations Solvers In Interior-Point Methods
. Primal-dual interior-point methods for linear complementarity and linear programming problems solve a linear system of equations to obtain a modified Newton step at each iteration.
Stephen J. Wright
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A new smoothing modified three-term conjugate gradient method for [Formula: see text]-norm minimization problem. [PDF]
Du S, Chen M.
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On Conditions for Strict Feasibility in Nonlinear Complementarity Problems
. The strict feasibility plays an important role in the development of theory and algorithms of complementarity problems. In this paper, we establish sufficient conditions to ensure the strict feasibility of a nonlinear complementarity problem.
D. Li, Y. B. Zhao
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Error bounds for linear complementarity problems of weakly chained diagonally dominant B-matrices. [PDF]
Wang F.
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Remarks On The Numerical Solution Of Certain Linear Complementarity Problems
. In a recent paper, J. K. Aitchison and N. K. Upton have proposed a mathematical model of the behaviour of a cloud formed immediately after the sudden release of a pollutant, together with an algorithm for determining numerical solutions of the ...
Michele Benzi
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An improved error bound for linear complementarity problems for B-matrices. [PDF]
Gao L, Li C.
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Merit Functions and Descent Algorithms for a Class of Variational Inequality Problems
. We consider a variational inequality problem, where the cost mapping is the sum of a single-valued mapping and the subdifferential mapping of a convex function. For this problem we introduce a new class of equivalent optimization formulations; based on
Michael Patriksson, Patriksson, Michael
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Robust solutions to box-constrained stochastic linear variational inequality problem. [PDF]
Luo MJ, Zhang Y.
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