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Applied Optics

Applied Optics


  • Vol. 29, Iss. 20 — Jul. 10, 1990
  • pp: 2978–2979

Improved relaxation processor for parallel solution of linear algebraic equations

H. John Caulfield  »View Author Affiliations

Applied Optics, Vol. 29, Issue 20, pp. 2978-2979 (1990)

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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

Original Manuscript: December 8, 1989
Published: July 10, 1990

H. John Caulfield, "Improved relaxation processor for parallel solution of linear algebraic equations," Appl. Opt. 29, 2978-2979 (1990)

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  1. H. J. Caulfield et al., “Bimodal Optical Computers,” Appl. Opt. 25, 3128–3131 (1986). [CrossRef] [PubMed]
  2. M. A. G. Abushagur, H. John Caulfield, “Speed and Convergence of Bimodal Optical Computers,” Opt. Eng. 26, 022–027 (1987). [CrossRef]
  3. M. A. G. Abushagur, “Adaptive Array Radar Data Processing Using the Bimodal Optical Computer,” Microwave Opt. Tech. Lett. 1, 236–240 (1988). [CrossRef]
  4. M. A. G. Abushagur, H. John Caulfield, P. M. Gibson, M. A. Habli, “Superconvergence of Hybrid Optoelectronic Processors,” Appl. Opt. 26, 4906–4907 (1987). [CrossRef] [PubMed]
  5. W. K. Cheng, H. J. Caulfield, “Fully Parallel Relaxation Algebraic Operations for Optical Computers,” Opt. Commun. 43, 251–254 (1982). [CrossRef]
  6. V. Scholtz, E. Van Rooyen, Author: Insert Affiliation; private communication (1989).

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