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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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An improved error bound for linear complementarity problems for B-matrices.

TL;DR: A new error bound for the linear complementarity problem when the matrix involved is a B-matrix is presented, which improves the corresponding result in Li et al. in Electron.
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Cone of recession and unboundedness of convex functions

TL;DR: The focus is on investigating the properties of the vectors in the cone of recession 0+f of f(x) which are related to the unboundedness of the function.
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A note on composite concave quadratic programming

TL;DR: The proposed pivotal-based algorithm for the global minimization of composite concave quadratic functions subject to linear constraints is presented and it is shown that certain subclasses of this family yield easy-to-solve line search subproblems.
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A generalized linear exchange model

TL;DR: In this paper, the linear exchange model is studied in which alongside the consumers there are firms minimizing expenses to guarantee some minimal level of the total cost of production, and a finite algorithm for finding an equilibrium is proposed and justified in the case of the fixed budgets of consumers.
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Hyper sensitivity analysis of portfolio optimization problems

TL;DR: In this article, Composite Concave Programming is used to perform hyper sensitivity analysis in the area of portfolio optimization problems, where the sensitivity analysis is conducted with respect to functions rather than numeric values.
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