Numerical Methods for Solving Two-Point Boundary Value Problems | Differed Correction Schemes, Interpolation, and Conditioning Methods

Novriana Sumarti

ISBN 10: 3639137876 / ISBN 13: 9783639137873

Published by VDM Verlag Dr. Müller, 2009

About this Item

Numerical Methods for Solving Two-Point Boundary Value Problems | Differed Correction Schemes, Interpolation, and Conditioning Methods | Novriana Sumarti | Taschenbuch | Einband - flex.(Paperback) | Englisch | 2009 | VDM Verlag Dr. Müller | EAN 9783639137873 | Verantwortliche Person für die EU: OmniScriptum GmbH & Co. KG, Bahnhofstr. 28, 66111 Saarbrücken, info[at]akademikerverlag[dot]de | Anbieter: preigu.

Seller Inventory # 101627435

Bibliographic Details

• Title: Numerical Methods for Solving Two-Point Boundary Value Problems | Differed Correction Schemes, Interpolation, and Conditioning Methods
• Publisher: VDM Verlag Dr. Müller
• Publication Date: 2009
• Language: English
• ISBN 10: 3639137876
• ISBN 13: 9783639137873
• Binding: Taschenbuch
• Condition: Neu
• Dimensions: 220W x 150H x 11D millimeters 220 millimeters width by 150 millimeters height by 11 millimeters depth
• Weight: 298 grams
• Seller catalogs:
  • Bücher

About this title

Synopsis

The numerical approximation of solutions of ordinary differential equations played an important role in Numerical Analysis and still continues to be an active field of research. In this book we are mainly concerned with the numerical solution of the first-order system of nonlinear two-point boundary value problems. We will focus on the problem of solving singular perturbation problems since this has for many years been a source of difficulty to applied mathematicians, engineers and numerical analysts alike. Firstly, we consider deferred correction schemes based on Mono-Implicit Runge-Kutta (MIRK) and Lobatto formulae. As is to be expected, the scheme based on Lobatto formulae, which are implicit, is more stable than the scheme based on MIRK formulae which are explicit. Secondly, we construct high order interpolants to provide the continuous extension of the discrete solution. It will consider the construction of both explicit and implicit interpolants. The estimation of conditioning numbers is also discussed and used to develop mesh selection algorithms which will be appropriate for solving stiff linear and nonlinear boundary value problems.

About the Author

Studied Numerical Analysis at Imperial College London, University of London, UK, 2001-2005. Assistant Professor at Faculty of Mathematics and Natural Sciences, Institut Teknologi Bandung, Indonesia.