On optimal zero-preserving corrections for inconsistent linear systems

Research output: Contribution to journalArticlepeer-review

6 Citations (Scopus)

Abstract

This paper addresses the problem of finding an optimal correction of an inconsistent linear system, where only the nonzero coefficients of the constraint matrix are allowed to be perturbed for reconstructing a consistent system. Using the Frobenius norm as a measure of the distance to feasibility, a nonconvex minimization problem is formulated, whose objective function is a sum of fractional functions. A branch-and-bound algorithm for solving this nonconvex program is proposed, based on suitably overestimating the denominator function for computing lower bounds. Computational experience is presented to demonstrate the efficacy of this approach.
Original languageUnknown
Pages (from-to)645-666
JournalJournal of Global Optimization
Volume45
Issue number4
DOIs
Publication statusPublished - 1 Jan 2009

Cite this