Fingerprint The Fingerprint is created by mining the titles and abstracts of the person's research outputs and projects/funding awards to create an index of weighted terms from discipline-specific thesauri.

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Linear systems Engineering & Materials Science
Preconditioner Mathematics
Factorization Engineering & Materials Science
Sparse Linear Systems Mathematics
Linear Systems Mathematics
Preconditioning Mathematics
Incomplete LU Factorization Mathematics
Sparse matrix Mathematics

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Projects 2003 2018

Preconditioning Techniques
Industrial Application

Research Output 1980 2018

A posteriori error estimate for computing tr(f(A)) by using the Lanczos method

Chen, J. & Saad, Y. Jan 1 2018 (Accepted/In press) In : Numerical Linear Algebra with Applications.

Research output: Contribution to journalArticle

Lanczos Method
A Posteriori Error Estimates
Matrix Function
Confidence interval
Error Estimates

A scalable iterative dense linear system solver for multiple right-hand sides in data analytics

Kalantzis, V., Malossi, A. C. I., Bekas, C., Curioni, A., Gallopoulos, E. & Saad, Y. Jan 1 2018 (Accepted/In press) In : Parallel Computing.

Research output: Contribution to journalArticle

Conjugate gradient method
Parallel architectures
Stochastic systems
Parallel Architectures
1 Citations

A rational function preconditioner for indefinite sparse linear systems

Xi, Y. & Saad, Y. Jan 1 2017 In : SIAM Journal on Scientific Computing. 39, 3, p. A1145-A1167

Research output: Contribution to journalArticle

Sparse Linear Systems
Rational functions
Rational function
Linear systems

Cucheb: A GPU implementation of the filtered Lanczos procedure

Aurentz, J. L., Kalantzis, V. & Saad, Y. Nov 1 2017 In : Computer Physics Communications. 220, p. 332-340 9 p.

Research output: Contribution to journalArticle

Eigenvalues and eigenfunctions
Electronic structure
3 Citations

Fast estimation of approximate matrix ranks using spectral densities

Ubaru, S., Saad, Y. & Seghouane, A. K. May 1 2017 In : Neural Computation. 29, 5, p. 1317-1351 35 p.

Research output: Contribution to journalLetter

Machine Learning