Parallel gradient projection successive overrelaxation for symmetric linear complementarity problems and linear programs

Parallel gradient projection successive overrelaxation for symmetric linear complementarity problems and linear programs

0.00 Avg rating0 Votes
Article ID: iaor1988737
Country: Switzerland
Volume: 14
Start Page Number: 41
End Page Number: 59
Publication Date: Dec 1988
Journal: Annals of Operations Research
Authors: ,
Keywords: parallel processing
Abstract:

A gradient projection successive overrelaxation (GP-SOR) algorithm is proposed for the solution of symmetric linear complementary problerms and linear programs. A key distinguishing feature of this algorithm is that when appropriately parallelized, the relaxation factor interval (0,2) is not reduced. In a previously proposed parallel SOR scheme, the substantially reduced relaxation interval mandated by the coupling terms of the problem often led to slow convergence. The proposed parallel algorithm solves a general linear program by finding its least 2-norm solution. Efficiency of the algorithm is in the 50 to 100 percent range as demonstrated by computational results on the CRYSTAL token-ring multicomputer and the Sequent Balance 21000 multiprocessor.

Reviews

Required fields are marked *. Your email address will not be published.