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28 July 1986 Architectures for Computing Eigenvalues and SVDs
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Proceedings Volume 0614, Highly Parallel Signal Processing and Architectures; (1986) https://doi.org/10.1117/12.960496
Event: O-E/LASE'86 Symposium, 1986, Los Angeles, CA, United States
Abstract
Systolic architectures for eigenvalues and singular values are discussed. One "triangular" processor array and associated algorithms for computing the QR-decomposition, the singular value decomposition, the generalized singular value decomposition and the CS-decomposition are described in detail.
© (1986) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Franklin T. Luk "Architectures for Computing Eigenvalues and SVDs", Proc. SPIE 0614, Highly Parallel Signal Processing and Architectures, (28 July 1986); https://doi.org/10.1117/12.960496
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