This concise and clear introduction to the topic requires only basic knowledge of calculus and linear algebraβall 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 mathemati
Mathematical Modeling and Simulation: Introduction for Scientists and Engineers
β Scribed by Prof. Dr. Kai Velten(auth.)
- Tongue
- English
- Leaves
- 359
- Category
- Library
No coin nor oath required. For personal study only.
β¦ Synopsis
Content:
Chapter 1 Principles of Mathematical Modeling (pages 1β46):
Chapter 2 Phenomenological Models (pages 47β115):
Chapter 3 Mechanistic Models I: ODEs (pages 117β228):
Chapter 4 Mechanistic Models II: PDEs (pages 229β316):
π SIMILAR VOLUMES
This concise and clear introduction to the topic requires only basic knowledge of calculus and linear algebraβall 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 mathemati
This concise and clear introduction to the topic requires only basic knowledge of calculus and linear algebraβall 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 mathemati
A book on modeling and simulation exclusively based on open source software. It includes many examples from such diverse fields as biology, ecology, economics, medicine, agricultural, chemical, electrical, mechanical, and process engineering. Requiring only little mathematical prerequisite in calcul
<p><span>Learn to use modeling and simulation methods to attack real-world problems, from physics to engineering, from life sciences to process engineering</span></p><p><span>Reviews of the </span><span>first edition</span><span> (2009):</span></p><p><span>"Perfectly fits introductory modeling cours
<p><b>Learn to use modeling and simulation methods to attack real-world problems, from physics to engineering, from life sciences to process engineering</b></p> <p><b>Reviews of the <i>first edition</i> (2009):</b></p> <p>"Perfectly fits introductory modeling courses [...] and is an enjoyable readin