Results 41 to 50 of about 14,981 (281)

GPU-Based N-1 Static Security Analysis Algorithm With Preconditioned Conjugate Gradient Method

open access: yesIEEE Access, 2020
N-1 static security analysis (SSA) is an important method for power system stability analysis that requires solving N alternating-current power flows (ACPF) for a system with N elements to obtain strictly accurate results.
Meng Fu   +5 more
doaj   +1 more source

Numerical Modeling of the Leak through Semipermeable Walls for 2D/3D Stokes Flow: Experimental Scalability of Dual Algorithms

open access: yesMathematics, 2021
The paper deals with the Stokes flow subject to the threshold leak boundary conditions in two and three space dimensions. The velocity–pressure formulation leads to the inequality type problem that is approximated by the P1-bubble/P1 mixed finite ...
Jaroslav Haslinger   +3 more
doaj   +1 more source

On numerical solution of nonlinear parabolic multicomponent diffusion-reaction problems

open access: yesAnalele Stiintifice ale Universitatii Ovidius Constanta: Seria Matematica, 2021
This work continues our previous analysis concerning the numerical solution of the multi-component mass transfer equations. The present test problems are two-dimensional, parabolic, non-linear, diffusion- reaction equations. An implicit finite difference
Juncu Gh., Popa C., Sarbu Gh.
doaj   +1 more source

Recursive-Based PCG Methods for Toeplitz Systems with Nonnegative Generating Functions [PDF]

open access: yes, 2003
In this paper, we consider the solutions of symmetric positive definite, but ill-conditioned, Toeplitz systems An x = b. Here we propose to solve the system by the recursive-based preconditioned conjugate gradient method.
Jin, XQ, Ng, KP, Sun, HW
core   +1 more source

Preconditioning the modified conjugate gradient method

open access: yesGlobal Journal of Mathematical Sciences, 2010
In this paper, the convergence analysis of the conventional conjugate Gradient method was reviewed. And the convergence analysis of the modified conjugate Gradient method was analysed with our extension on preconditioning the algorithm. Convergence of the algorithm is a function of the condition number of M-1A.
Omorogbe, D.E.A, Osagiede, A.A
openaire   +3 more sources

Condition number estimation of preconditioned matrices. [PDF]

open access: yesPLoS ONE, 2015
The present paper introduces a condition number estimation method for preconditioned matrices. The newly developed method provides reasonable results, while the conventional method which is based on the Lanczos connection gives meaningless results.
Noriyuki Kushida
doaj   +1 more source

Research of the Algebraic Multigrid Method for Electron Optical Simulator

open access: yesEntropy, 2022
At present, electron optical simulator (EOS) takes a long time to solve linear FEM systems. The algebraic multigrid preconditioned conjugate gradient (AMGPCG) method can improve the efficiency of solving systems.
Zhi Wang   +7 more
doaj   +1 more source

Preconditioned Bi-Conjugate Gradient Method for Radiative Transfer in Spherical Media

open access: yes, 2009
A robust numerical method called the Preconditioned Bi-Conjugate Gradient (Pre-BiCG)method is proposed for the solution of radiative transfer equation in spherical geometry.A variant of this method called Stabilized Preconditioned Bi-Conjugate Gradient ...
Asensio Ramos   +24 more
core   +2 more sources

Analysis of Iterative Methods for the Steady and Unsteady Stokes Problem: Application to Spectral Element Discretizations [PDF]

open access: yes, 1993
A new and detailed analysis of the basic Uzawa algorithm for decoupling of the pressure and the velocity in the steady and unsteady Stokes operator is presented.
Maday, Yvon   +3 more
core   +1 more source

A new approximate inverse preconditioner based on the Vaidya’s maximum spanning tree for matrix equation AXB = C [PDF]

open access: yesIranian Journal of Numerical Analysis and Optimization, 2019
We propose a new preconditioned global conjugate gradient (PGL-CG) method for the solution of matrix equation AXB = C, where A and B are sparse Stieltjes matrices. The preconditioner is based on the support graph preconditioners.
K. Rezaei, F. Rahbarnia, F. Toutounian
doaj   +1 more source

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