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Hybrid Algorithms for Solving the Algebraic Eigenvalue Problem with Sparse Matrices
by
Khimich, A. N.
, Chistyakov, O. V.
, Popov, A. V.
in
Algorithms
/ Analysis
/ Artificial Intelligence
/ Computers
/ Control
/ Cybernetics
/ Efficiency
/ Eigenvalues
/ Eigenvectors
/ Hybrid computers
/ Libraries
/ Linear algebra
/ Mathematical analysis
/ Mathematics
/ Mathematics and Statistics
/ Matrix algebra
/ Matrix methods
/ Processor Architectures
/ Processors
/ Software
/ Software Engineering/Programming and Operating Systems
/ Software–Hardware Systems
/ Sparse matrices
/ Sparsity
/ Systems Theory
2017
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Hybrid Algorithms for Solving the Algebraic Eigenvalue Problem with Sparse Matrices
by
Khimich, A. N.
, Chistyakov, O. V.
, Popov, A. V.
in
Algorithms
/ Analysis
/ Artificial Intelligence
/ Computers
/ Control
/ Cybernetics
/ Efficiency
/ Eigenvalues
/ Eigenvectors
/ Hybrid computers
/ Libraries
/ Linear algebra
/ Mathematical analysis
/ Mathematics
/ Mathematics and Statistics
/ Matrix algebra
/ Matrix methods
/ Processor Architectures
/ Processors
/ Software
/ Software Engineering/Programming and Operating Systems
/ Software–Hardware Systems
/ Sparse matrices
/ Sparsity
/ Systems Theory
2017
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Do you wish to request the book?
Hybrid Algorithms for Solving the Algebraic Eigenvalue Problem with Sparse Matrices
by
Khimich, A. N.
, Chistyakov, O. V.
, Popov, A. V.
in
Algorithms
/ Analysis
/ Artificial Intelligence
/ Computers
/ Control
/ Cybernetics
/ Efficiency
/ Eigenvalues
/ Eigenvectors
/ Hybrid computers
/ Libraries
/ Linear algebra
/ Mathematical analysis
/ Mathematics
/ Mathematics and Statistics
/ Matrix algebra
/ Matrix methods
/ Processor Architectures
/ Processors
/ Software
/ Software Engineering/Programming and Operating Systems
/ Software–Hardware Systems
/ Sparse matrices
/ Sparsity
/ Systems Theory
2017
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Hybrid Algorithms for Solving the Algebraic Eigenvalue Problem with Sparse Matrices
Journal Article
Hybrid Algorithms for Solving the Algebraic Eigenvalue Problem with Sparse Matrices
2017
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Overview
Hybrid algorithms for solving the partial generalized eigenvalue problem for symmetric positive definite sparse matrices of different structures by hybrid computers with graphic processors are proposed, coefficients for the efficiency of the algorithms are obtained, and approbation of the developed algorithms for test and practical problems is carried out.
Publisher
Springer US,Springer,Springer Nature B.V
Subject
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