Iterative Methods and Preconditioning for Large and Sparse Linear Systems with Applications

Inbunden, Engelska, 2018

Del i serien Chapman & Hall/CRC Monographs and Research Notes in Mathematics

2 668 kr

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Beskrivning

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.

Produktinformation

Utgivningsdatum:2018-02-28
Mått:156 x 234 x 27 mm
Vikt:680 g
Format:Inbunden
Språk:Engelska
Serie:Chapman & Hall/CRC Monographs and Research Notes in Mathematics
Antal sidor:354
Förlag:Taylor & Francis Inc
ISBN:9781498764162

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Mer om författaren

Daniele Bertaccini, Ph.D is currently a professor at Università 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.

Recensioner i media

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

Innehållsförteckning

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