Daniele Bertaccini, Fabio Durastante

Iterative Methods and Preconditioning for Large and Sparse Linear Systems with Applications (eBook, PDF)

• Format: PDF

Produktbeschreibung

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.

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Produktdetails

• Verlag: Taylor & Francis
• Seitenzahl: 374
• Erscheinungstermin: 19. Februar 2018
• Englisch
• ISBN-13: 9781498764179
• Artikelnr.: 56835993

Autorenporträt

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.

Inhaltsangabe

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