Produktbild: Exploiting Hidden Structure in Matrix Computations: Algorithms and Applications

Exploiting Hidden Structure in Matrix Computations: Algorithms and Applications

Lieferzeit: Lieferbar innerhalb 14 Tagen

85,59 €

inkl. 7 % MwSt. zzgl. Versandkosten

Cetraro, Italy 2015, Lecture Notes in Mathematics 2173 – C.I.M.E. Foundation Subseries

ISBN: 331949886X
ISBN 13: 9783319498867
Herausgeber: Michele Benzi/Valeria Simoncini
Verlag: Springer Verlag GmbH
Umfang: ix, 406 S., 11 s/w Illustr., 46 farbige Illustr., 406 p. 57 illus., 46 illus. in color.
Erscheinungsdatum: 02.02.2017
Weitere Autoren: Benzi, Michele/Bini, Dario/Kressner, Daniel et al
Auflage: 1/2017
Produktform: Kartoniert
Einband: Kartoniert

Focusing on special matrices and matrices which are in some sense `near‘ to structured matrices, this volume covers a broad range of topics of current interest in numerical linear algebra. Exploitation of these less obvious structural properties can be of great importance in the design of efficient numerical methods, for example algorithms for matrices with low-rank block structure, matrices with decay, and structured tensor computations. Applications range from quantum chemistry to queuing theory. Structured matrices arise frequently in applications. Examples include banded and sparse matrices, Toeplitz-type matrices, and matrices with semi-separable or quasi-separable structure, as well as Hamiltonian and symplectic matrices. The associated literature is enormous, and many efficient algorithms have been developed for solving problems involving such matrices. The text arose from a C.I.M.E. course held in Cetraro (Italy) in June 2015 which aimed to present this fast growing field to young researchers, exploiting the expertise of five leading lecturers with different theoretical and application perspectives.

Artikelnummer: 101408 Kategorie:

Beschreibung

Herstellerkennzeichnung:


Springer Verlag GmbH
Tiergartenstr. 17
69121 Heidelberg
DE

E-Mail: juergen.hartmann@springer.com

Das könnte Ihnen auch gefallen …