<p>This book is intended as a text for a first course on creating and analyzing computer simulation models of biological systems. The expected audience for this book are students wishing to use dynamic models to interpret real data mueh as they would use standard statistical techniques. It is meant
Modeling Biological Systems:: Principles and Applications
β Scribed by James W. Haefner
- Publisher
- Springer
- Year
- 2005
- Tongue
- English
- Leaves
- 484
- Edition
- 2nd
- Category
- Library
No coin nor oath required. For personal study only.
β¦ Synopsis
This is the second edition of a textbook currently published by Springer for a course in mathematical modeling and computer simulation for biologists at the advanced undergraduate and introductory graduate level. The audience for this edition is similar to that of the previous one: advanced level courses in computational biology, as well as researchers retooling themselves. This new edition includes a CD-ROM with real examples of models as teaching tools.
π SIMILAR VOLUMES
This is the second edition of a textbook currently published by Springer for a course in mathematical modeling and computer simulation for biologists at the advanced undergraduate and introductory graduate level. The audience for this edition is similar to that of the previous one: advanced level co
<p><p>This book serves as an introductory reference guide for those studying the application of models in energy systems. The book opens with a taxonomy of energy models and treatment of descriptive and analytical models, providing the reader with a foundation of the basic principles underlying the
<p>Energy Harvesting Systems: Principles, Modelling and Applications Edited by: Tom Kazmierski Steve Beeby Kinetic energy harvesting converts movement or vibrations into electrical energy, enables battery free operation of wireless sensors and autonomous devices and facilitates their placement in lo
<p>Energy Harvesting Systems: Principles, Modelling and Applications Edited by: Tom Kazmierski Steve Beeby Kinetic energy harvesting converts movement or vibrations into electrical energy, enables battery free operation of wireless sensors and autonomous devices and facilitates their placement in lo