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Open AccessJournal ArticleDOI

Linear programming with positive semi-definite matrices

Jean B. Lasserre
- 01 Jan 1996 - 
- Vol. 2, Iss: 6, pp 499-522
TLDR
In this article, the authors considered the general linear programming problem over the cone of positive semi-definite matrices and provided a simple sufficient condition for existence of optimal solutions and absence of a duality gap without requiring existence of a strictly feasible solution.
Abstract
We consider the general linear programming problem over the cone of positive semi-definite matrices. We first provide a simple sufficient condition for existence of optimal solutions and absence of a duality gap without requiring existence of a strictly feasible solution. We then simply characterize the analogues of the standard concepts of linear programming, i.e., extreme points, basis, reduced cost, degeneracy, pivoting step as well as a Simplex-like algorithm.

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Semidefinite and Cone Programming Bibliography/Comments

TL;DR: This online technical report presents abstracts (short outlines) of papers related to semidefinite programming, grouped by subject.
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A pivoting procedure for a class of second-order cone programming

TL;DR: Under a nondegeneracy assumption, it is proved that the objective function value is strictly decreasing by a pivot unless the current basic solution is optimal, and an algorithm is proposed which has a global convergence property.
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Two-phase simplex method for linear semidefinite optimization

TL;DR: The variant of the primal simplex method, that generalizes the corresponding method for linear programming problems, is proposed and the local convergence of the method is proven.
Journal ArticleDOI

A feasible dual affine scaling steepest descent method for the linear semidefinite programming problem

TL;DR: In this article, the dual affine scaling method was proposed for linear semidefinite programming problems, in which all current iterations belong to the feasible set, and the boundaries of the finite set may be reached.
Journal ArticleDOI

A Variant of the Dual Simplex Method for a Linear Semidefinite Programming Problem

TL;DR: A linear semidefinite programming problem in the standard statement is considered, and a variant of the dual simplex method is proposed for its solution.