Sparse Matrix

Handbook of Robust Low-Rank and Sparse Matrix Decomposition: Applications in Image and Video Processing (repost)

Thierry Bouwmans, Necdet Serhat Aybat, "Handbook of Robust Low-Rank and Sparse Matrix Decomposition: Applications in Image and Video Processing"
2016 | ISBN-10: 1498724620 | 511 pages | PDF | 17 MB

Parallelism in Matrix Computations  eBooks & eLearning

Posted by AvaxGenius at Sept. 15, 2020
Parallelism in Matrix Computations

Parallelism in Matrix Computations by Efstratios Gallopoulos
English | PDF(Repost),EPUB | 2016 | 489 Pages | ISBN : 9401771871 | 17.4 MB

This book is primarily intended as a research monograph that could also be used in graduate courses for the design of parallel algorithms in matrix computations.

Direct Methods for Sparse Linear Systems (Repost)  eBooks & eLearning

Posted by step778 at Sept. 19, 2018
Direct Methods for Sparse Linear Systems (Repost)

Timothy A. Davis, "Direct Methods for Sparse Linear Systems"
2006 | pages: 230 | ISBN: 0898716136 | DJVU | 1,6 mb

Parallelism in Matrix Computations (repost)  eBooks & eLearning

Posted by interes at Nov. 7, 2019
Parallelism in Matrix Computations (repost)

Parallelism in Matrix Computations (Scientific Computation) by Efstratios Gallopoulos and Bernard Philippe
English | 2015 | ISBN: 9401771871, 9402403175 | 473 pages | PDF | 8,7 MB

Parallelism in Matrix Computations  eBooks & eLearning

Posted by ChrisRedfield at Feb. 7, 2019
Parallelism in Matrix Computations

Efstratios Gallopoulos, Bernard Philippe, Ahmed H. Sameh - Parallelism in Matrix Computations
Published: 2015-07-28 | ISBN: 9401771871 | PDF | 473 pages | 8.69 MB

Sparse Modeling: Theory, Algorithms, and Applications (Repost)  eBooks & eLearning

Posted by DZ123 at Sept. 30, 2017
Sparse Modeling: Theory, Algorithms, and Applications (Repost)

Irina Rish, Genady Grabarnik, "Sparse Modeling: Theory, Algorithms, and Applications"
English | 2014 | ISBN: 1439828695 | PDF | pages: 250 | 8.5 mb

Parallel Sparse Direct Solver for Integrated Circuit Simulation  eBooks & eLearning

Posted by AvaxGenius at Feb. 11, 2017
Parallel Sparse Direct Solver for Integrated Circuit Simulation

Parallel Sparse Direct Solver for Integrated Circuit Simulation By Xiaoming Chen, Yu Wang, Huazhong Yang
English | PDF,EPUB | 2017 | 137 Pages | ISBN : 3319534289 | 5.90 MB

This book describes algorithmic methods and parallelization techniques to design a parallel sparse direct solver which is specifically targeted at integrated circuit simulation problems.

Finite Element Methods: Parallel-Sparse Statics and Eigen-Solutions (Repost)  eBooks & eLearning

Posted by AvaxGenius at May 4, 2021
Finite Element Methods: Parallel-Sparse Statics and Eigen-Solutions (Repost)

Finite Element Methods: Parallel-Sparse Statics and Eigen-Solutions By Duc Thai Nguyen
English | PDF | 2006 | 545 Pages | ISBN : 0387293302 | 18.02 MB

FEM, and the associated computer software are widely recognized as some of the most effective tools for solutions of large-scale engineering applications. Efficient equation and eigen-solvers play critical roles in solving these problems. Sparse matrix technologies have evolved and are now mature enough that all popular and commercialized FEM codes have inserted sparse solvers into their software.

Algorithms for Sparse Linear Systems  eBooks & eLearning

Posted by hill0 at April 30, 2023
Algorithms for Sparse Linear Systems

Algorithms for Sparse Linear Systems
English | 2023 | ISBN: 3031258193 | 246 Pages | PDF EPUB (True) | 16 MB

Finite Element Methods: Parallel-Sparse Statics and Eigen-Solutions (Repost)  eBooks & eLearning

Posted by AvaxGenius at March 3, 2018
Finite Element Methods: Parallel-Sparse Statics and Eigen-Solutions (Repost)

Finite Element Methods: Parallel-Sparse Statics and Eigen-Solutions By Duc Thai Nguyen
English | PDF | 2006 | 545 Pages | ISBN : 0387293302 | 18.02 MB

FEM, and the associated computer software are widely recognized as some of the most effective tools for solutions of large-scale engineering applications. Efficient equation and eigen-solvers play critical roles in solving these problems. Sparse matrix technologies have evolved and are now mature enough that all popular and commercialized FEM codes have inserted sparse solvers into their software.