Abstract
Three power methods to compute the eigenvalues and eigenvectors of a matrix on an iterative optical processor (IOP) are analyzed. Each is appropriate for a different eigenvalue and eigenvector application. When implementation on an IOP and the processing speed are considered, the second method is found to be preferable to others recently described.
© 1981 Optical Society of America
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