Zobrazeno 1 - 10
of 139
pro vyhledávání: '"W. Ruge"'
Publikováno v:
SIAM Journal on Scientific Computing. 40:A4105-A4130
Algebraic multigrid (AMG) solvers and preconditioners are some of the fastest numerical methods to solve linear systems, particularly in a parallel environment, scaling to hundreds of thousands of ...
Algebraic multigrid (AMG) is often an effective solver for symmetric positive definite (SPD) linear systems resulting from the discretization of general elliptic PDEs, or the spatial discretization of parabolic PDEs. However, convergence theory and m
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https://www.scopus.com/inward/record.url?partnerID=HzOxMe3b&origin=inward&scp=85074649236
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Autor:
Luke N. Olson, Seth Veitzer, Jon C. Cahoun, John W. Ruge, Kris Beckwith, Stephen F. McCormick
Publikováno v:
IEEE Transactions on Plasma Science. 43:957-964
Many problems of interest in plasma modeling are subject to the tyranny of scales, specifically, problems that encompass physical processes that operate on timescales that are separated by many orders of magnitude. Investigating such problems, theref
Autor:
Randolph E. Bank, John W. Ruge, Toby Jones, Robert D. Falgout, Thomas A. Manteuffel, Stephen F. McCormick
Publikováno v:
SIAM Journal on Scientific Computing. 37:S113-S136
In modern large-scale supercomputing applications, algebraic multigrid (AMG) is a leading choice for solving matrix equations. However, the high cost of communication relative to that of computation is a concern for the scalability of traditional imp
Publikováno v:
Scientific Computing and Algorithms in Industrial Simulations ISBN: 9783319624570
Scientific Computing and Algorithms in Industrial Simulations
Scientific Computing and Algorithms in Industrial Simulations
The research on multigrid in the 1970s opened revolutionary perspectives for the efficient solution of discretized elliptic partial differential equations. In spite of this, it took nearly three decades for it to be seriously recognized and used outs
Externí odkaz:
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https://doi.org/10.1007/978-3-319-62458-7_5
https://doi.org/10.1007/978-3-319-62458-7_5
Publikováno v:
Numerical Linear Algebra with Applications. 21:239-255
SUMMARY We consider two algebraic multilevel solvers for the solution of discrete problems arising from PDEs with random inputs. Our focus is on problems with large jumps in material coefficients. The model problem considered is that of a diffusion p
Publikováno v:
SIAM Journal on Numerical Analysis. 51:2214-2237
This paper combines first-order system least squares (FOSLS) with first-order system $LL^*$ (FOSLL$^*$) to create a Hybrid method. The FOSLS approach minimizes the error, ${\bf e}^h = {\bf u}^h - {\bf u}$, over a finite element subspace, ${\cal V}^h$
Autor:
Marian Brezina, Thomas A. Manteuffel, Lei Tang, John W. Ruge, James H. Adler, Stephen F. McCormick
Publikováno v:
SIAM Journal on Scientific Computing. 35:S171-S191
This paper investigates the performance of a parallel Newton, first-order system least-squares (FOSLS) finite-element method with local adaptive refinement and algebraic multigrid (AMG) applied to incompressible, resistive magnetohydrodynamics. In pa
Publikováno v:
Aktuelle Ernährungsmedizin. 41
Publikováno v:
Numerical Linear Algebra with Applications. 24
Summary This paper proposes a new, low-communication algorithm for solving PDEs on massively parallel computers. The range decomposition (RD) algorithm exposes coarse-grain parallelism by applying nested iteration and adaptive mesh refinement locally