Iterative methods are an important and fundamental class of solution algorithms that are used by scientists and engineers. Their applications can be found in diverse fields of science, engineering and technology, for example, computational fluid dynamics, queuing and communication problems, and image and signal processing. Because of the rapid evolution of the development of this field, as well as the fact that iterative methods are not often developed in a generic form for general applications, there is a lack of published materials that treat the topic properly and fully. These lectures from the Winter School on Iterative Methods in Scientific Computing and their Applications aims to bridge such gap in the literature. The book contains the nine series of lectures taken from the school and is divided into three main parts: Basic Theory (Chapters 1-4), Preconditioning (Chapters 5-6), and Applications (Chapters 7-9). This book provides an excellent overview of state-of-the-art of the field as well as being a general introduction for beginners. It will prove useful to researchers, practitioners and engineers interested in practising scientific computing.
Sprache
Verlagsort
Zielgruppe
Für höhere Schule und Studium
Für Beruf und Forschung
Gewicht
ISBN-13
978-981-3083-08-0 (9789813083080)
Schweitzer Klassifikation
Contents: Basic Theory: Inner-outer iterations.- Wavelets.- Multilevel methods.- Finite element methods.- Preconditioning.- Lanczos algorithm, and monotone methods.- Parallel Algorithms: Parallel computer architectures and algorithms.- Parallel iterative methods.- Domain decomposition methods.- Applications: Computational fluid dynamics - convection-diffusion equations and Stokes solvers.- Signal and imafe processing.- Queueing networks.
