Systolic designs for eigenvalue-eigenvector computations using matrix powers

DOI10.1016/0167-8191(90)90097-SzbMath0704.65021OpenAlexW2016891322MaRDI QIDQ917220

David J. Evans, Konstantinos G. Margaritis

Publication date: 1990

Published in: Parallel Computing (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/0167-8191(90)90097-s

zbMATH Keywords

eigenvectorpower methoddominant eigenvaluesmatrix squaring methodsnon- sparse matricessoft-systolic simulationsystolic designsvector computation

Mathematics Subject Classification ID

Numerical computation of eigenvalues and eigenvectors of matrices (65F15) Numerical algorithms for specific classes of architectures (65Y10)

Related Items (3)

Synthesis of a unidirectional systolic array for matrix-vector multiplication ⋮ Neural networks for computing eigenvalues and eigenvectors ⋮ Matrix-vector multiplication on a fixed-size linear systolic array

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