A Bramble-Pasciak conjugate gradient method for discrete Stokes equations with random viscosity
, 2018 We study the iterative solution of linear systems of equations arising from stochastic Galerkin finite element discretizations of saddle point problems. We focus on the Stokes model with random data parametrized by uniformly distributed random variables ...
Lang, Jens +2 more
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h-multigrid agglomeration based solution strategies for discontinuous Galerkin discretizations of incompressible flow problems [PDF]
, 2017 In this work we exploit agglomeration based $h$-multigrid preconditioners to speed-up the iterative solution of discontinuous Galerkin discretizations of the Stokes and Navier-Stokes equations.
Bassi, Francesco +2 more
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Preconditioning of conjugate gradients by multigrid solver [PDF]
Applications of Mathematics, 1994 A system of linear algebraic equations \(Ax= b\) is solved by the preconditioned conjugate gradient method. In each step it is usually necessary to solve an auxiliary system of linear equations. In the paper, instead of it, for preconditioning one iteration of the two level method for \(Ax= b\) is used.
Křížková, Jitka, Vaněk, Petr
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Electronic Structure Modulation Induced by Asymmetric Cu─Ni Centers in a π‐Conjugated Triazine MOF
Advanced Materials Interfaces, EarlyView.A π‐conjugated H3TATB‐based asymmetric bimetallic CuNi‐MOF was developed as an efficient electrocatalyst for alkaline hydrogen evolution. Benefiting from synergistic Cu–Ni interactions, enhanced charge transfer, and stabilized active sites, CuNi‐MOF delivers superior HER performance with low overpotential, improved kinetics, and 24 h durability.
Alamgir +7 more
wiley +1 more source
Effiziente Verfahren zur Parallelisierung von EMV-Simulationen für den Entwurfsprozess integrierter Schaltungen [PDF]
Advances in Radio Science, 2009 In dieser Arbeit wird mit einer parallelisierten Version des PCG-Verfahrens (<i>preconditioned conjugate gradient method</i>) eine effiziente Technik zur numerischen Lösung großer Gleichungssysteme vorgestellt. Der Anwendungsbereich ist dabei
M. Barke, T. Preisner, W. Mathis
doaj
Advances in Electrical and Electronic Engineering, 2015 The analysis and design of electromechanical devices involve the solution of large sparse linear systems, and require therefore high performance algorithms.
Daniel Marcsa, Miklos Kuczmann
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An Improved 3D Magnetization Inversion Based on Smoothness Constraints in Spherical Coordinates
Magnetochemistry, 2022 In the inverse problem, the traditional way to obtain a stable solution is based on the maximum smoothness criteria. However, this approach cannot generate clearer and more focused images.
Liang Zhang +3 more
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Acceleration Schemes for Ab-Initio Molecular Dynamics and Electronic Structure Calculations
, 1994 We study the convergence and the stability of fictitious dynamical methods for electrons. First, we show that a particular damped second-order dynamics has a much faster rate of convergence to the ground-state than first-order steepest descent algorithms
A. Pasquarello +26 more
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Analysis of Parallel Preconditioned Conjugate Gradient Algorithms
Informatica, 2005 Summary: The conjugate gradient method is an iterative technique used to solve systems of linear equations. The paper analyzes the performance of parallel preconditioned conjugate gradient (PPCG) algorithms. First, a theoretical model is proposed for the estimation of the complexity of the PPCG method and a scalability analysis is done for three ...
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Super-resolution using preconditioned conjugate gradient method [PDF]
SPIE Proceedings, 2002 In this paper we present a fast iterative image superresolution algorithm using preconditioned conjugate gradient method. To avoid explicitly computing the tolerance in the inverse filter based preconditioner scheme,1 a new Wiener filter based preconditioner for the conjugate gradient method is proposed to speed up the convergence.
Changjiang Yang +2 more
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