Iterative Operator Splitting Methods for Differential Equations

Iterative Operator Splitting Methods for Differential Equations
Author :
Publisher :
Total Pages :
Release :
ISBN-10 : OCLC:838430983
ISBN-13 :
Rating : 4/5 ( Downloads)

Book Synopsis Iterative Operator Splitting Methods for Differential Equations by : Jürgen Geiser

Download or read book Iterative Operator Splitting Methods for Differential Equations written by Jürgen Geiser and published by . This book was released on 2010 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt:


Iterative Operator Splitting Methods for Differential Equations Related Books

Iterative Operator Splitting Methods for Differential Equations
Language: en
Pages:
Authors: Jürgen Geiser
Categories:
Type: BOOK - Published: 2010 - Publisher:

DOWNLOAD EBOOK

Iterative Splitting Methods for Differential Equations
Language: en
Pages: 325
Authors: Juergen Geiser
Categories: Mathematics
Type: BOOK - Published: 2011-06-01 - Publisher: CRC Press

DOWNLOAD EBOOK

Iterative Splitting Methods for Differential Equations explains how to solve evolution equations via novel iterative-based splitting methods that efficiently us
Nonlinear Iterative Operator-Splitting Methods and Applications for Nonlinear Parabolic Partial Differential Equations
Language: en
Pages: 18
Splitting Methods for Partial Differential Equations with Rough Solutions
Language: en
Pages: 238
Authors: Helge Holden
Categories: Mathematics
Type: BOOK - Published: 2010 - Publisher: European Mathematical Society

DOWNLOAD EBOOK

Operator splitting (or the fractional steps method) is a very common tool to analyze nonlinear partial differential equations both numerically and analytically.
Decomposition Methods for Differential Equations
Language: en
Pages: 320
Authors: Juergen Geiser
Categories: Mathematics
Type: BOOK - Published: 2009-05-20 - Publisher: CRC Press

DOWNLOAD EBOOK

Decomposition Methods for Differential Equations: Theory and Applications describes the analysis of numerical methods for evolution equations based on temporal