Rosenbrock-Wanner-Type Methods - Theory and Applications

This book discusses the development of the Rosenbrock-Wanner methods from the origins of the idea to current research with the stable and efficient numerical solution and differential-algebraic systems of equations, still in focus. The reader gets a comprehensive insight into the classical methods as well as into the development and properties of novel W-methods, two-step and exponential Rosenbrock methods. In addition, descriptive applications from the fields of water and hydrogen network simulation and visual computing are presented.

List of contents

- Rosenbrock-Wanner Methods: Construction and Mission. - Water and Hydrogen Flow in Networks: Modelling and Numerical Solution by ROW Methods. - Exponential Rosenbrock Methods and Their Application in Visual Computing. - W-Methods and Approximate Matrix Factorization for Parabolic PDEs with Mixed Derivative Terms. - Two-StepW-Methods.

About the author

Tim Jax is Postdoc at University of Applied Sciences Bonn-Rhein-Sieg and German Aerospace Center, Cologne. He received his doctorate at Institute of Mathematical Modelling, Analysis and Computational Mathematics (IMACM) at the University of Wuppertal. His field of research is the enhancement of Rosenbrock-Wanner-Type Methods towards W-methods for DAEs and applications in network simulation.

Andreas Bartel has his habilitation and is lecturer at the chair of applied mathematics within the Institute of Mathematical Modelling, Analysis and Computational Mathematics (IMACM) at the University of Wuppertal. His research interests include modelling and simulation for computational engineering, in particular coupled systems (PDAEs) and time domain methods. 

Matthias Ehrhardt is a professor of applied mathematics and numerical analysis at the IMACM, the Institute of Mathematical Modelling, Analysis and Computational Mathematics at the University of Wuppertal, Germany. His research focus in the numerical treatment of partial differential equations, especially on unbounded domains and numerical methods in computational finance. 

Michael Günther is a full professor of applied mathematics at the IMACM, the Institute of Mathematical Modelling, Analysis and Computational Mathematics at the University of Wuppertal, Germany. His main field of research is modelling, analysis and numerical simulation of time-dependent coupled heterogeneous problems with applications in computational engineering, computational finance and computational physics. 

Gerd Steinebach is professor of mathematics and research representative in the field of modelling and simulation in the Institute of Technology, Resource and Energy-Efficient Engineering at University of Applied Sciences Bonn-Rhein-Sieg. His areas of specialization are numerical methods for differential-algebraic systems with applications in energy and fluid flow network simulation.

Product details

Assisted by	Andrea Bartel (Editor), Andreas Bartel (Editor), Matthias Ehrhardt (Editor), Matthias Ehrhardt et al (Editor), Michael Günther (Editor), Tim Jax (Editor), Gerd Steinebach (Editor)
Publisher	Springer, Berlin
Languages	English, German
Product format	Paperback / Softback
Released	11.07.2021
EAN	9783030768096
ISBN	978-3-0-3076809-6
No. of pages	120
Dimensions	155 mm x 7 mm x 235 mm
Illustrations	VII, 120 p. 36 illus., 17 illus. in color.
Series	Mathematics Online First Collections
Subject	Natural sciences, medicine, IT, technology > Mathematics > Arithmetic, algebra

Product details

• Assisted by: Andrea Bartel (Editor), Andreas Bartel (Editor), Matthias Ehrhardt (Editor), Matthias Ehrhardt et al (Editor), Michael Günther (Editor), Tim Jax (Editor), Gerd Steinebach (Editor)
• Publisher: Springer, Berlin
• Languages: English, German
• Product format: Paperback / Softback
• Released: 11.07.2021
• EAN: 9783030768096
• ISBN: 978-3-0-3076809-6
• No. of pages: 120
• Dimensions: 155 mm x 7 mm x 235 mm
• Illustrations: VII, 120 p. 36 illus., 17 illus. in color.
• Series: Mathematics Online First Collections
• Subject: Natural sciences, medicine, IT, technology > Mathematics > Arithmetic, algebra