Multiple Shooting and Time Domain Decomposition Methods - MuS-TDD, Heidelberg, May 6-8, 2013 (Hardcover, 1st ed. 2015)

This book offers a comprehensive collection of the most advanced numerical techniques for the efficient and effective solution of simulation and optimization problems governed by systems of time-dependent differential equations. The contributions present various approaches to time domain decomposition, focusing on multiple shooting and parareal algorithms. The range of topics covers theoretical analysis of the methods, as well as their algorithmic formulation and guidelines for practical implementation. Selected examples show that the discussed approaches are mandatory for the solution of challenging practical problems. The practicability and efficiency of the presented methods is illustrated by several case studies from fluid dynamics, data compression, image processing and computational biology, giving rise to possible new research topics. This volume, resulting from the workshop Multiple Shooting and Time Domain Decomposition Methods, held in Heidelberg in May 2013, will be of great interest to applied mathematicians, computer scientists and all scientists using mathematical methods.

General

Imprint:	Springer International Publishing AG
Country of origin:	Switzerland
Series:	Contributions in Mathematical and Computational Sciences, 9
Release date:	October 2015
First published:	2015
Editors:	Thomas Carraro • Michael Geiger • Stefan Koerkel • Rolf Rannacher
Dimensions:	235 x 155 x 24mm (L x W x T)
Format:	Hardcover
Pages:	422
Edition:	1st ed. 2015
ISBN-13:	978-3-319-23320-8
Categories:	Books > Computing & IT > General theory of computing > Mathematical theory of computation Books > Science & Mathematics > Mathematics > Calculus & mathematical analysis > Differential equations Books > Science & Mathematics > Mathematics > Calculus & mathematical analysis > Calculus of variations Books > Professional & Technical > Mechanical engineering & materials > Materials science > Mechanics of fluids > General
LSN:	3-319-23320-3
Barcode:	9783319233208

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