Results 241 to 250 of about 14,981 (281)

Using Randomized Nyström Preconditioners to Accelerate Variational Image Reconstruction. [PDF]

IEEE Trans Comput Imaging
Hong T, Xu Z, Hu J, Fessler JA.
europepmc   +1 more source

Computationally efficient whole-genome quantile regression at biobank scale. [PDF]

Proc Natl Acad Sci U S A
Wang F, Wang C, Wang T, Masala M, Fiorillo E, Devoto M, Cucca F, Ionita-Laza I.   +7 more
europepmc   +1 more source

Monte Carlo approximation of the logarithm of the determinant of large matrices with applications for linear mixed models in quantitative genetics. [PDF]

Genet Sel Evol
Bermann M, Alvarez-Munera A, Legarra A, Aguilar I, Misztal I, Lourenco D.   +5 more
europepmc   +1 more source

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Parallelizing preconditioned conjugate gradient algorithms

Computer Physics Communications, 1989
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Greenbaum, Anne, Li, Congming, Chao, Han Zheng   +2 more
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Vectorization of some block preconditioned conjugate gradient methods

Parallel Computing, 1990
Although the preconditioned conjugate gradient methods are effective for solving the linear systems arising from discretization of elliptic partial differential equations, the solution of the linear system \(Mr=s\), \(M=LD^{-1}L^ T\), where D, L are, respectively, diagonal and bidiagonal block matrices, to get the preconditioned residual, is a quite ...
BRUGNANO, LUIGI, M. MARRONE
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Orderings for Conjugate Gradient Preconditionings

SIAM Journal on Optimization, 1991
The paper treats several ordering principles for the solution of Poisson- type elliptic boundary value problems with preconditioned conjugate gradient methods (PCG). As preconditioners SSOR and incomplete Cholesky (IC) are considered. For the solution of the relevant linear systems, which mostly are tridiagonal, on vector or parallel computers ...
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The Stochastic Preconditioned Conjugate Gradient method

Probabilistic Engineering Mechanics, 1992
Abstract This paper presents the Stochastic Preconditioned Conjugate Gradient method (SPCG), an iterative equation solver that can greatly reduce the computational effort associated with the repeated calculations required in probabilistic finite element analysis.
Robert H. Sues, Heh-Chyun Chen, Francis M. Lavelle   +2 more
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