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The decompositional approach to matrix computation

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1 Author(s)
G. W. Stewart ; Dept. of Comput. Sci., Maryland Univ., College Park, MD, USA

The introduction of matrix decomposition into numerical linear algebra revolutionized matrix computations. The article outlines the decompositional approach, comments on its history, and surveys the six most widely used decompositions: Cholesky decomposition; pivoted LU decomposition; QR decomposition; spectral decomposition; Schur decomposition; and singular value decomposition

Published in:

Computing in Science & Engineering  (Volume:2 ,  Issue: 1 )