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SPECTRA - a Maple library for solving linear matrix inequalities in exact arithmetic

Didier Henrion(henrion***at***laas.fr)
Simone Naldi(simone.naldi***at***tu-dortmund.de )
Mohab Safey El Din(mohab.safey***at***lip6.fr)

Abstract: This document briefly describes our freely distributed Maple library {\sc spectra}, for Semidefinite Programming solved Exactly with Computational Tools of Real Algebra. It solves linear matrix inequalities in exact arithmetic and it is targeted to small-size, possibly degenerate problems for which symbolic infeasibility or feasibility certificates are required.

Keywords: Computer algebra, linear matrix inequalities, semidefinite programming, low rank matrices, polynomial sums of squares

Category 1: Linear, Cone and Semidefinite Programming (Semi-definite Programming )

Citation:

Download: [PDF]

Entry Submitted: 11/05/2016
Entry Accepted: 11/05/2016
Entry Last Modified: 11/05/2016

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