Abstract

A bidirection matrix–vector multiplication scheme leads to faster convergence as well as guaranteed convergence in a relaxation processor for parallel solution of linear algebraic equations when used in a bimodal optical computer.

© 1990 Optical Society of America

Noise limitations in optical linear algebra processors

Stephen G. Batsell, Tai-Lang Jong, John F. Walkup, and Thomas F. Krile
Appl. Opt. 29(14) 2084-2090 (1990)

Matrix preconditioning: a robust operation for optical linear algebra processors

Anjan Ghosh and Palacharla Paparao
Appl. Opt. 26(14) 2734-2737 (1987)

Parallel optical arithmetic on images by a redundant binary number representation

Giuseppe A. De Biase and Annalisa Massini
Appl. Opt. 29(11) 1587-1589 (1990)

Realization of preconditioned Lanczos and conjugate gradient algorithms on optical linear algebra processors

Anjan Ghosh
Appl. Opt. 27(15) 3142-3148 (1988)

Optical implementation of the Hopfield algorithm using correlations

Andrew J. David and Bahaa E. A. Saleh
Appl. Opt. 29(8) 1063-1064 (1990)