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Proceedings Paper

Optical Singular Value Decomposition For The Ax = b Problem
Author(s): John Gruninger; H. J. Caulfield
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Paper Abstract

Optical approaches to solving the Ax = b problem have suffered from four difficulties: (1) an inability to handle the problem for nonsquare A, (2) the necessity of insuring convergence for nonsingular A, (3) the inability to handle a singular A, and (4) inaccuracies due to an ill conditioned A. We show that these problems can all be solved or mitigated by singular value decomposition (SVD). An accurate approach to optical SVD is shown.

Paper Details

Date Published: 15 April 1983
PDF: 4 pages
Proc. SPIE 0422, 10th Intl Optical Computing Conf, (15 April 1983); doi: 10.1117/12.936149
Show Author Affiliations
John Gruninger, Aerodyne Research, Inc. (United States)
H. J. Caulfield, Aerodyne Research, Inc. (United States)

Published in SPIE Proceedings Vol. 0422:
10th Intl Optical Computing Conf
Sam Horvitz, Editor(s)

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