Results 11 to 20 of about 1,731 (272)

A Combined Conjugate Gradient Quasi-Newton Method with Modification BFGS Formula

open access: yesInternational Journal of Analysis and Applications, 2023
The conjugate gradient and Quasi-Newton methods have advantages and drawbacks, as although quasi-Newton algorithm has more rapid convergence than conjugate gradient, they require more storage compared to conjugate gradient algorithms.
Mardeen Sh. Taher, Salah G. Shareef
doaj   +1 more source

Preconditioned augmented Lagrangian method for mean curvature image deblurring

open access: yesAIMS Mathematics, 2022
Image deblurring models with a mean curvature functional has been widely used to preserve edges and remove the staircase effect in the resulting images. However, the Euler-Lagrange equations of a mean curvature model can be used to solve fourth-order non-
Shahbaz Ahmad   +6 more
doaj   +1 more source

Block Preconditioning for the Conjugate Gradient Method [PDF]

open access: yesSIAM Journal on Scientific and Statistical Computing, 1985
Different block preconditionings for the conjugate gradient methods are investigated for solving positive definite block tridiagonal systems. These preconditionings are based on different sparse approximate matrix inverses. The proposed methods are compared with other well-known preconditionings as for example the point incomplete Cholesky ...
Concus, P., Golub, G.H., Meurant, G.
openaire   +3 more sources

A Modified Conjugate Residual Method and Nearest Kronecker Product Preconditioner for the Generalized Coupled Sylvester Tensor Equations

open access: yesMathematics, 2022
This paper is devoted to proposing a modified conjugate residual method for solving the generalized coupled Sylvester tensor equations. To further improve its convergence rate, we derive a preconditioned modified conjugate residual method based on the ...
Tao Li, Qing-Wen Wang, Xin-Fang Zhang
doaj   +1 more source

An inexact Newton method with inner preconditioned CG for non-uniformly monotone elliptic problems

open access: yesMathematical Modelling and Analysis, 2021
The present paper introduces an inexact Newton method, coupled with a preconditioned conjugate gradient method in inner iterations, for elliptic operators with non-uniformly monotone upper and lower bounds.
Benjámin Borsos
doaj   +1 more source

About analysis of large problems of structural mechanics on multi-core computers [PDF]

open access: yesИнженерно-строительный журнал, 2013
The sparse direct solvers as well as iterative methods are considered for analysis of large-scale finite element problems of structural mechanics on multi-core computers.
S.Yu. Fialko
doaj   +1 more source

Explicit conjugate gradient method with preconditioning [PDF]

open access: yesApplications of Mathematics, 1994
The authors propose the matrix \(C = (I - \omega A)^{-1}\) as a preconditioner in the preconditioned conjugate gradient (PCCG) method for solving the system of algebraic equations \(Ax = b\). Convergence properties of this PCCG method are analyzed. Especially, a relation between the condition numbers of the matrices \(C^{-1} A\) and \(A\) is derived ...
Křížková, Jitka, Vaněk, Petr
openaire   +2 more sources

Corrigendum: Block Preconditioning for the Conjugate Gradient Method [PDF]

open access: yesSIAM Journal on Scientific and Statistical Computing, 1985
Concerns the authors' paper [ibid. 6, 220-252 (1985; Zbl 0556.65022)].
Concus, P., Golub, G. H., Meurant, G.
openaire   +2 more sources

Preconditioned conjugate gradient methods for three‐dimensional linear elasticity [PDF]

open access: yesInternational Journal for Numerical Methods in Engineering, 1994
AbstractFinite element modelling of three‐dimensional elasticity problems give rise to large sparse matrices. Various preconditioning methods are developed for use in preconditioned conjugate gradient iterative solution techniques. Incomplete factorizations based on levels of fill, drop tolerance, and a two‐level hierarchical basis are developed ...
Dickinson, J. K., Forsyth, P A.
openaire   +2 more sources

Tensor Conjugate-Gradient methods for tensor linear discrete ill-posed problems

open access: yesAIMS Mathematics, 2023
This paper presents three types of tensor Conjugate-Gradient (tCG) methods for solving large-scale linear discrete ill-posed problems based on the t-product between third-order tensors.
Hong-Mei Song   +2 more
doaj   +1 more source

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