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High Performance Algorithms for Structured Matrix Problems (Hardcover, Uk Ed.)
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High Performance Algorithms for Structured Matrix Problems (Hardcover, Uk Ed.)
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The main aim of this volume is to summarise the state of the art in
the area of high performance solutions of structured linear systems
as well as the area of structured eigenvalue and singular-value
problems. The volume highlights research directions perceived to be
the most important for computing the structured problems. The
topics covered range from parallel solvers for sparse or banded
linear systems to parallel computation of eigenvalues and singular
values of tridiagonal and bidiagonal matrices. In addition, the
volume contains articles on specialised solution techniques for
dense Toeplitz and Hankel matrices. The papers also discuss
implementation issues on numerous parallel architectures such as
vector computers, shared and distributed memory multiprocessors,
and clusters of workstations.
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