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Solution of Partial Differential Eqns on Vector and Parallel Computers

โœ Scribed by J. Ortega, R. Voight

Publisher
SIAM
Year
1985
Tongue
English
Leaves
101
Category
Library
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๐Ÿ“œ SIMILAR VOLUMES

Solution of Partial Differential Equatio
๐Ÿ“ Solution of Partial Differential Equations on Vector and Parallel Computers
โœ James M. Ortega, Robert G. Voigt ๐Ÿ“‚ Library ๐Ÿ“… 1987 ๐Ÿ› Society for Industrial Mathematics ๐ŸŒ English

This volume reviews, in the context of partial differential equations, algorithm development that has been specifically aimed at computers that exhibit some form of parallelism. Emphasis is on the solution of PDEs because these are typically the problems that generate high computational demands. The

Solution of partial differential equatio
๐Ÿ“ Solution of partial differential equations on vector and parallel computers
โœ James M Ortega; Robert G Voigt ๐Ÿ“‚ Library ๐Ÿ“… 1985 ๐Ÿ› SIAM ๐ŸŒ English

This volume reviews, in the context of partial differential equations, algorithm development that has been specifically aimed at computers that exhibit some form of parallelism. Emphasis is on the solution of PDEs because these are typically the problems that generate high computational demands. The

Numerical Solution of Partial Differenti
๐Ÿ“ Numerical Solution of Partial Differential Equations on Parallel Computers
โœ Are Magnus Bruaset, Aslak Tveito ๐Ÿ“‚ Library ๐Ÿ“… 2006 ๐Ÿ› Springer ๐ŸŒ English

This book surveys the major topics that are essential to high-performance simulation on parallel computers or computational clusters. These topics, including programming models, load balancing, mesh generation, efficient numerical solvers, and scientific software, are vital ingredients in the resear

Numerical Solution of Partial Differenti
๐Ÿ“ Numerical Solution of Partial Differential Equations on Parallel Computers
โœ Are Magnus Bruaset, Aslak Tveito ๐Ÿ“‚ Library ๐Ÿ“… 2006 ๐Ÿ› Springer ๐ŸŒ English

This book surveys the major topics that are essential to high-performance simulation on parallel computers or computational clusters. These topics, including programming models, load balancing, mesh generation, efficient numerical solvers, and scientific software, are vital ingredients in the resear