受强制性开放获取政策约束的文章 - Yousef Saad了解详情
无法在其他位置公开访问的文章：1 篇
Numerical investigations of turbulent natural convection heat transfer within a wind turbine nacelle operating in hot climate
MA Mahdi, A Smaili, Y Saad
International Journal of Thermal Sciences 147, 106143, 2020
强制性开放获取政策： US National Science Foundation
可在其他位置公开访问的文章：57 篇
Multilevel preconditioners constructed from inverse-based ILUs
M Bollhöfer, Y Saad
SIAM Journal on Scientific Computing 27 (5), 1627-1650, 2006
强制性开放获取政策： German Research Foundation
Fast Estimation of via Stochastic Lanczos Quadrature
S Ubaru, J Chen, Y Saad
SIAM Journal on Matrix Analysis and Applications 38 (4), 1075-1099, 2017
强制性开放获取政策： US National Science Foundation, US Department of Defense
Approximating spectral densities of large matrices
L Lin, Y Saad, C Yang
SIAM review 58 (1), 34-65, 2016
强制性开放获取政策： US Department of Energy
Efficient estimation of eigenvalue counts in an interval
E Di Napoli, E Polizzi, Y Saad
Numerical Linear Algebra with Applications 23 (4), 674-692, 2016
强制性开放获取政策： US National Science Foundation, US Department of Energy
Phase retrieval via reweighted amplitude flow
G Wang, GB Giannakis, Y Saad, J Chen
IEEE Transactions on Signal Processing 66 (11), 2818-2833, 2018
强制性开放获取政策： US National Science Foundation, 国家自然科学基金委员会
Krylov subspace methods for computing hydrodynamic interactions in Brownian dynamics simulations
T Ando, E Chow, Y Saad, J Skolnick
The Journal of chemical physics 137 (6), 2012
强制性开放获取政策： US National Institutes of Health
Shanks sequence transformations and Anderson acceleration
C Brezinski, M Redivo-Zaglia, Y Saad
SIAM Review 60 (3), 646-669, 2018
强制性开放获取政策： US Department of Energy
Chebyshev-filtered subspace iteration method free of sparse diagonalization for solving the Kohn–Sham equation
Y Zhou, JR Chelikowsky, Y Saad
Journal of Computational Physics 274, 770-782, 2014
强制性开放获取政策： US Department of Energy
A thick-restart Lanczos algorithm with polynomial filtering for Hermitian eigenvalue problems
R Li, Y Xi, E Vecharynski, C Yang, Y Saad
SIAM Journal on Scientific Computing 38 (4), A2512-A2534, 2016
强制性开放获取政策： US Department of Energy
Fast methods for estimating the numerical rank of large matrices
S Ubaru, Y Saad
International Conference on Machine Learning, 468-477, 2016
强制性开放获取政策： US National Science Foundation
Graph coarsening: from scientific computing to machine learning
J Chen, Y Saad, Z Zhang
SeMA Journal 79 (1), 187-223, 2022
强制性开放获取政策： US National Science Foundation, US Department of Energy
The eigenvalues slicing library (EVSL): Algorithms, implementation, and software
R Li, Y Xi, L Erlandson, Y Saad
SIAM Journal on Scientific Computing 41 (4), C393-C415, 2019
强制性开放获取政策： US National Science Foundation, US Department of Energy
Efficient algorithms for estimating the absorption spectrum within linear response TDDFT
J Brabec, L Lin, M Shao, N Govind, C Yang, Y Saad, EG Ng
Journal of chemical theory and computation 11 (11), 5197-5208, 2015
强制性开放获取政策： US Department of Energy
SMASH: Structured matrix approximation by separation and hierarchy
D Cai, E Chow, L Erlandson, Y Saad, Y Xi
Numerical Linear Algebra with Applications 25 (6), e2204, 2018
强制性开放获取政策： US National Science Foundation
An algebraic multilevel preconditioner with low-rank corrections for sparse symmetric matrices
Y Xi, R Li, Y Saad
SIAM Journal on Matrix Analysis and Applications 37 (1), 235-259, 2016
强制性开放获取政策： US National Science Foundation, US Department of Energy
Schur complement‐based domain decomposition preconditioners with low‐rank corrections
R Li, Y Xi, Y Saad
Numerical Linear Algebra with Applications 23 (4), 706-729, 2016
强制性开放获取政策： US National Science Foundation, US Department of Energy
Low-rank correction methods for algebraic domain decomposition preconditioners
R Li, Y Saad
SIAM Journal on Matrix Analysis and Applications 38 (3), 807-828, 2017
强制性开放获取政策： US National Science Foundation, US Department of Energy
Computing partial spectra with least-squares rational filters
Y Xi, Y Saad
SIAM Journal on Scientific Computing 38 (5), A3020-A3045, 2016
强制性开放获取政策： US National Science Foundation, US Department of Energy
PFEAST: a high performance sparse eigenvalue solver using distributed-memory linear solvers
J Kestyn, V Kalantzis, E Polizzi, Y Saad
SC'16: Proceedings of the International Conference for High Performance …, 2016
强制性开放获取政策： US National Science Foundation
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