Multiple Shooting and Time Domain Decomposition Methods

MuS-TDD, Heidelberg, May 6-8, 2013

Nonfiction, Science & Nature, Mathematics, Counting & Numeration, Differential Equations
Cover of the book Multiple Shooting and Time Domain Decomposition Methods by , Springer International Publishing
View on Amazon View on AbeBooks View on Kobo View on B.Depository View on eBay View on Walmart
Author: ISBN: 9783319233215
Publisher: Springer International Publishing Publication: October 26, 2015
Imprint: Springer Language: English
Author:
ISBN: 9783319233215
Publisher: Springer International Publishing
Publication: October 26, 2015
Imprint: Springer
Language: English

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.

View on Amazon View on AbeBooks View on Kobo View on B.Depository View on eBay View on Walmart

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.

More books from Springer International Publishing

Cover of the book Preparing for Earthquakes: Lessons for India by
Cover of the book Economic Crisis, Development and Competitiveness in Southeastern Europe by
Cover of the book Catholicism Engaging Other Faiths by
Cover of the book Knowledge Discovery, Knowledge Engineering and Knowledge Management by
Cover of the book Advances in Knowledge Discovery and Management by
Cover of the book Internet Addiction by
Cover of the book 'Ndrangheta by
Cover of the book The Category of ‘Religion’ in Contemporary Japan by
Cover of the book A Spectral Theory for Simply Periodic Solutions of the Sinh-Gordon Equation by
Cover of the book Topics in Theoretical and Applied Statistics by
Cover of the book Discrete Geometry for Computer Imagery by
Cover of the book Bode’s Law and the Discovery of Juno by
Cover of the book Distance Sampling: Methods and Applications by
Cover of the book Integrated Absorption Refrigeration Systems by
Cover of the book Public Health Intelligence and the Internet by
We use our own "cookies" and third party cookies to improve services and to see statistical information. By using this website, you agree to our Privacy Policy