Results 1 to 10 of about 1,521 (186)

Parallel multigrid method for solving inverse problems [PDF]

open access: yesMethodsX, 2022
We considered in this work the linear operator equation and used the Landweber iterative method as an iterative solver. After that, we used the multigrid method as an optimization method for obtaining an approximation solution with a highly accurate and ...
H.K. Al-Mahdawi   +5 more
doaj   +2 more sources

An introduction to algebraic multigrid [PDF]

open access: yesComputing in Science and Engineering, 2006
Algebraic multigrid (AMG) solves linear systems based on multigrid principles, but in a way that only depends on the coefficients in the underlying matrix. The author begins with a basic introduction to AMG methods, and then describes some more recent advances and theoretical ...
exaly   +2 more sources

New approach to far field analysis for radiation pattern estimation using FDTD method [PDF]

open access: yesSerbian Journal of Electrical Engineering, 2014
In this paper an approach to efficient computation of radiation pattern in FDTD simulation environment is presented. A necessary large distance from the radiating object is achieved by multigrid space discretization with unilaterally connected ...
Nikolić Bojana   +4 more
doaj   +1 more source

An Aggregation-Based Algebraic Multigrid Method with Deflation Techniques and Modified Generic Factored Approximate Sparse Inverses

open access: yesMathematics, 2023
In this paper, we examine deflation-based algebraic multigrid methods for solving large systems of linear equations. Aggregation of the unknown terms is applied for coarsening, while deflation techniques are proposed for improving the rate of convergence.
Anastasia A. Natsiou   +3 more
doaj   +1 more source

Multigrid renormalization [PDF]

open access: yesJournal of Computational Physics, 2018
We combine the multigrid (MG) method with state-of-the-art concepts from the variational formulation of the numerical renormalization group. The resulting MG renormalization (MGR) method is a natural generalization of the MG method for solving partial differential equations.
Michael Lubasch   +2 more
openaire   +4 more sources

Fast Solution of 3-D Eddy-Current Problems in Multiply Connected Domains by a, v-φ and t-φ Formulations With Multigrid-Based Algorithm for Cohomology Generation

open access: yesIEEE Access, 2022
The fast solution of three-dimensional eddy current problems is still an open problem, especially when real-size finite element models with millions of degrees of freedom are considered.
Federico Moro   +4 more
doaj   +1 more source

Multilevel augmented Lagrangian solvers for overconstrained contact formulations* [PDF]

open access: yesESAIM: Proceedings and Surveys, 2021
Multigrid methods for two-body contact problems are mostly based on special mortar discretizations, nonlinear Gauss-Seidel solvers, and solution-adapted coarse grid spaces. Their high computational efficiency comes at the cost of a complex implementation
Krause Rolf, Weiser Martin
doaj   +1 more source

A Bootstrap Multigrid Eigensolver

open access: yesSIAM Journal on Matrix Analysis and Applications, 2022
This paper introduces bootstrap multigrid methods for solving eigenvalue problems arising from the discretization of partial differential equations. Inspired by the full bootstrap algebraic multigrid (BAMG) setup algorithm that includes an AMG eigensolver, it is illustrated how the algorithm can be simplified for the case of a discretized partial ...
James J. Brannick, Shuhao Cao
openaire   +2 more sources

Lattice QCD Calculation and Optimization on ARM Processors [PDF]

open access: yesJisuanji kexue, 2023
Lattice quantum chromodynamics(lattice QCD) is one of the most important applications of large-scale parallel computing in high energy physics,researches in this field usually consume a large amount of computing resources,and its core is to solve the ...
SUN Wei, BI Yujiang, CHENG Yaodong
doaj   +1 more source

Autotuning multigrid with PetaBricks [PDF]

open access: yesProceedings of the Conference on High Performance Computing Networking, Storage and Analysis, 2009
Algorithmic choice is essential in any problem domain to realizing optimal computational performance. Multigrid is a prime example: not only is it possible to make choices at the highest grid resolution, but a program can switch techniques as the problem is recursively attacked on coarser grid levels to take advantage of algorithms with different ...
Cy P. Chan   +4 more
openaire   +4 more sources

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