Positive Dynamical Systems in Discrete Time Theory, Models, and Applications 1st Edition
Author(s): Ulrich Krause
Publisher: De Gruyter
ISBN: 9783110369755
Edition: 1st Edition
$39,99
Delivery: This can be downloaded Immediately after purchasing.
Version: Only PDF Version.
Compatible Devices: Can be read on any device (Kindle, NOOK, Android/IOS devices, Windows, MAC)
Quality: High Quality. No missing contents. Printable
Recommended Software: Check here
Important: No Access Code
Description
Description
This book provides a systematic, rigorous and self-contained treatment of positive dynamical systems. A dynamical system is positive when all relevant variables of a system are nonnegative in a natural way. This is in biology, demography or economics, where the levels of populations or prices of goods are positive. The principle also finds application in electrical engineering, physics and computer sciences. “The author has greatly expanded the field of positive systems in surprising ways.” – Prof. Dr. David G. Luenberger, Stanford University(USA)
Related products
Positive Dynamical Systems in Discrete Time Theory, Models, and Applications 1st Edition
Author(s): Ulrich Krause
Publisher: De Gruyter
ISBN: 9783110369755
Edition: 1st Edition
$39,99
Delivery: This can be downloaded Immediately after purchasing.
Version: Only PDF Version.
Compatible Devices: Can be read on any device (Kindle, NOOK, Android/IOS devices, Windows, MAC)
Quality: High Quality. No missing contents. Printable
Recommended Software: Check here
Important: No Access Code
Description
Description
This book provides a systematic, rigorous and self-contained treatment of positive dynamical systems. A dynamical system is positive when all relevant variables of a system are nonnegative in a natural way. This is in biology, demography or economics, where the levels of populations or prices of goods are positive. The principle also finds application in electrical engineering, physics and computer sciences. “The author has greatly expanded the field of positive systems in surprising ways.” – Prof. Dr. David G. Luenberger, Stanford University(USA)

