Projects per year
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.
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
Network
Recent external collaboration on country level. Dive into details by clicking on the dots.
Projects 2003 2022
Advances in robust multilevel preconditioning methods for sparse linear systems
8/1/19 → 7/31/22
Project: Research project
Linear systems
AF: Small: Collaborative Research: Effective Numerical Algorithms and Software for Nonlinear Eigenvalue Problems
10/1/18 → 9/30/21
Project: Research project
Software
Research
Preconditioning Techniques
Industrial Application
Linear systems
Software
Research
Research Output 1980 2019
1
Citation
(Scopus)
Computing planetary interior normal modes with a highly parallel polynomial filtering eigensolver
Shi, J., Li, R., Xi, Y., Saad, Y. & De Hoop, M. V., Mar 11 2019, Proceedings - International Conference for High Performance Computing, Networking, Storage, and Analysis, SC 2018. Institute of Electrical and Electronics Engineers Inc., p. 894-906 13 p. 8665766. (Proceedings - International Conference for High Performance Computing, Networking, Storage, and Analysis, SC 2018).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
Normal Modes
3D
Interior
Filtering
Polynomials
Find the dimension that counts: Fast dimension estimation and Krylov PCA
Ubaru, S., Seghouane, A. K. & Saad, Y., Jan 1 2019, SIAM International Conference on Data Mining, SDM 2019. Society for Industrial and Applied Mathematics Publications, p. 720-728 9 p. (SIAM International Conference on Data Mining, SDM 2019).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
Covariance matrix
Principal component analysis
Learning systems
Signal processing
Image processing
Sampling and multilevel coarsening algorithms for fast matrix approximations
Ubaru, S. & Saad, Y., May 1 2019, In : Numerical Linear Algebra with Applications. 26, 3, e2234.Research output: Contribution to journal › Article
Matrix Approximation
Coarsening
Sampling
Singular value decomposition
Graph in graph theory
Scalable remote homology detection and fold recognition in massive protein networks
Petegrosso, R., Li, Z., Srour, M. A., Saad, Y., Zhang, W. & Kuang, R., Jun 1 2019, In : Proteins: Structure, Function and Bioinformatics. 87, 6, p. 478-491 14 p.Research output: Contribution to journal › Article
Proteins
Labels
Sequence Alignment
Message passing
Electric sparks
The Eigenvalues Slicing Library (EVSL): Algorithms, implementation, and software
Li, R., Xi, Y., Erlandson, L. & Saad, Y., Jan 1 2019, In : SIAM Journal on Scientific Computing. 41, 4, p. C393-C415Research output: Contribution to journal › Article
Slicing
Eigenvalue
Software
Filtering
Spectral density