Iterative Methods and Preconditioning for Large and Sparse Linear Systems with Applications
Published on 19. February 2018
374 pages
978-1-351-64961-2 (ISBN)
Description
This book describes, in a basic way, the most useful and effective iterative solvers and appropriate preconditioning techniques for some of the most important classes of large and sparse linear systems.
The solution of large and sparse linear systems is the most time-consuming part for most of the scientific computing simulations. Indeed, mathematical models become more and more accurate by including a greater volume of data, but this requires the solution of larger and harder algebraic systems. In recent years, research has focused on the efficient solution of large sparse and/or structured systems generated by the discretization of numerical models by using iterative solvers.
The solution of large and sparse linear systems is the most time-consuming part for most of the scientific computing simulations. Indeed, mathematical models become more and more accurate by including a greater volume of data, but this requires the solution of larger and harder algebraic systems. In recent years, research has focused on the efficient solution of large sparse and/or structured systems generated by the discretization of numerical models by using iterative solvers.
Reviews / Votes
The book can be used for a Master and/or Ph.D. level graduate course in science and engineering and can be useful to researchers from any eld of engineering, health, physical, chemical and biological sciences.-Constantin Popa, Zentralblatt MATH
More details
Series
Language
English
Place of publication
London
United Kingdom
Publishing group
Taylor & Francis Ltd
Target group
College/higher education
Product notice
Reflowable
Illustrations
26 s/w Tabellen, 40 s/w Abbildungen
26 Tables, black and white; 40 Illustrations, black and white
File size
7,26 MB
ISBN-13
978-1-351-64961-2 (9781351649612)
Copyright in bibliographic data and cover images is held by Nielsen Book Services Limited or by the publishers or by their respective licensors: all rights reserved.
Schweitzer Classification
Other editions
Additional editions
Daniele Bertaccini | Fabio Durastante
Iterative Methods and Preconditioning for Large and Sparse Linear Systems with Applications
Book
02/2018
1st Edition
Chapman & Hall/CRC
€232.60
Shipment within 15-20 days
Persons
Daniele Bertaccini, Ph.D is currently a professor at Universita di Roma Tor Vergata. Fabio Durastante, Ph.D is a postdoctoral researcher. Their research interests are mainly the large and sparse and/or structured linear systems arising in the numerical solution of partial and fractional differential equations with their applications in fluid dynamics, optimization and imaging.
Content
Introduction and Motivations; Some iterative algorithms for linear systems; General purpose preconditioning strategies; Preconditioners for some structured linear systems; Appendix A: A Review of Numerical Linear Algebra; Appendix B: Data sets and software codes
