G.W. "Pete" Stewart
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G.W. "Pete" Stewart is a Distinguished University Professor Emeritus of computer science.
Stewart is a world-renowned expert in computational linear algebra. He has made fundamental and highly cited advances in the analysis of rounding error in numerical computations, perturbation of eigensystems, generalized inverses, least squares problems, and matrix factorizations. He has developed efficient algorithms for the singular value decomposition, updating and downdating matrix factorizations, and the eigenproblem that are widely used in applications.
Stewart has published six textbooks, which are models of exposition that have educated multiple generations of researchers. His contributions have led to numerous honors, including election to the National Academy of Engineering and being named a SIAM Fellow.
Stewart received his doctorate from the University of Tennessee in 1968.
Go here to view Stewart‘s academic publications.
Publications
1994
1994. URV ESPRIT for tracking time-varying signals. Signal Processing, IEEE Transactions on. 42(12):3441-3448.
1993
1993. An adaptive ESPRIT based on URV decomposition. Acoustics, Speech, and Signal Processing, 1993. ICASSP-93., 1993 IEEE International Conference on. 4:37-40vol.4-37-40vol.4.
1990
1990. Computing the eigenvalues and eigenvectors of symmetric arrowhead matrices. Journal of Computational Physics. 90(2):497-505.
1989
1989. Domino: A Transportable System for Parallel Processing. Parallel Processing and Medium-Scale Multiprocessors (Proceedings of a 1986 Conference)Parallel Processing and Medium-Scale Multiprocessors (Proceedings of a 1986 Conference). :25-34.
1987
1987. From Determinacy to Systaltic Arrays. Computers, IEEE Transactions on. C-36(11):1355-1359.
1986
1986. Assignment and scheduling in parallel matrix factorization. Linear Algebra and its Applications. 77:275-299.
1985
1985. Data-flow algorithms for parallel matrix computation. Communications of the ACM. 28(8):840-853.
1979
1979. Estimating the Largest Eigenvalue of a Positive Definite Matrix. Mathematics of Computation. 33:1289-1292.
1979. Linear programming Problems Arising from Partial Differential Equations. Sparse Matrix Proceedings 1978Sparse Matrix Proceedings 1978. :25-40.