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Proceedings Paper

Optical Matrix-Vector Processing For Computational Fluid Dynamics
Author(s): Caroline J. Perlee; David P. Casasent
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Paper Abstract

An optical processor to solve partial differential equations for computational fluid dynamics applications is considered. This application is new and original for optical processors. The algorithms that are used are optical realizations of the Newton-Raphson method for nonlinear equations and a new optical LU direct decomposition and Gauss-Seidel iterative solution to the resultant linear algebraic equations. These algorithms are used to solve Burger's equation (a specific form of the momentum equation in fluid dynamics). The nonlinear equations provide 1-D velocity data at each time step. Simulation results of optical processing with these algorithms on computational fluid dynamics data is included.

Paper Details

Date Published: 22 August 1988
PDF: 14 pages
Proc. SPIE 0936, Advances in Optical Information Processing III, (22 August 1988); doi: 10.1117/12.946946
Show Author Affiliations
Caroline J. Perlee, Carnegie Mellon University (United States)
David P. Casasent, Carnegie Mellon University (United States)

Published in SPIE Proceedings Vol. 0936:
Advances in Optical Information Processing III
Dennis R. Pape, Editor(s)

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