Mathematical Modeling and Simulation, 2nd Edition
Introduction for Scientists and Engineers
$288.22
- Paperback
496 pages
- Release Date
6 August 2024
Summary
Learn to use modeling and simulation methods to attack real-world problems, from physics to engineering, from life sciences to process engineering
Reviews of the first edition (2009):
“Perfectly fits introductory modeling courses […] and is an enjoyable reading in the first place. Highly recommended […]” Zentralblatt MATH, European Mathematical Society, 2009
“This book differs from al…
Book Details
| ISBN-13: | 9783527414147 |
|---|---|
| ISBN-10: | 3527414142 |
| Author: | Kai Velten, Katrin Kahlen, Dominik M. Schmidt |
| Publisher: | Wiley-VCH Verlag GmbH |
| Imprint: | Blackwell Verlag GmbH |
| Format: | Paperback |
| Number of Pages: | 496 |
| Edition: | 2nd |
| Release Date: | 6 August 2024 |
| Weight: | 680g |
| Dimensions: | 244mm x 170mm x 15mm |
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About The Author
Kai Velten
Kai Velten is a mathematician and modeling and simulation consultant focusing on data analysis and differential equations. He held scientific positions at Braunschweig and Erlangen Universities and the Fraunhofer-ITWM in Kaiserslautern between 1990-2000, works as professor of mathematics at Hochschule Geisenheim University since 2000 and was offered another professorship at Lüneburg University in 2012.
Dominik M. Schmidt holds MSc (Beverage Technology) and PhD (Agriculture) degrees obtained from Hochschule Geisenheim University and University of Gießen. Working in the Department of Modeling and Systems Analysis of Hochschule Geisenheim University since 2013, he performed a broad range of research projects in the fields of data science, mathematical modeling and computational fluid dynamics.
Katrin Kahlen is a mathematician working at Hochschule Geisenheim University since 2011. She holds PhD (Mathematics) and habilitation (Agronomy) degrees obtained from University of Hannover and became Adjunct Professor at Hochschule Geisenheim University in 2021. She is particularly interested in modeling and simulation of plant–environment interactions, and the development and use of virtual plants.
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