Mathematical Modeling and Simulation

Mathematical Modeling and Simulation
Author: Kai Velten
Publisher: John Wiley & Sons
Total Pages: 362
Release: 2009-06-01
Genre: Science
ISBN: 3527627618

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This concise and clear introduction to the topic requires only basic knowledge of calculus and linear algebra - all other concepts and ideas are developed in the course of the book. Lucidly written so as to appeal to undergraduates and practitioners alike, it enables readers to set up simple mathematical models on their own and to interpret their results and those of others critically. To achieve this, many examples have been chosen from various fields, such as biology, ecology, economics, medicine, agricultural, chemical, electrical, mechanical and process engineering, which are subsequently discussed in detail. Based on the author`s modeling and simulation experience in science and engineering and as a consultant, the book answers such basic questions as: What is a mathematical model? What types of models do exist? Which model is appropriate for a particular problem? What are simulation, parameter estimation, and validation? The book relies exclusively upon open-source software which is available to everybody free of charge. The entire book software - including 3D CFD and structural mechanics simulation software - can be used based on a free CAELinux-Live-DVD that is available in the Internet (works on most machines and operating systems).


Mathematical Modeling and Simulation
Language: en
Pages: 362
Authors: Kai Velten
Categories: Science
Type: BOOK - Published: 2009-06-01 - Publisher: John Wiley & Sons

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This concise and clear introduction to the topic requires only basic knowledge of calculus and linear algebra - all other concepts and ideas are developed in th
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Type: BOOK - Published: 2022-02-23 - Publisher: Springer Nature

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This book contains works on mathematical and simulation modeling of processes in various domains: ecology and geographic information systems, IT, industry, and
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This edited monograph offers a summary of future mathematical methods supporting the recent energy sector transformation. It collects current contributions on i