- We will send in 10–14 business days.
/images/books/13190982/9783639660135.jpg)
- Author: Gábor Szederkényi
- Publisher: Scholars' Press
- Year: 2014
- ISBN-10: 3639660137
- ISBN-13: 9783639660135
- Format: 15.2 x 22.9 x 1 cm, softcover
- Language: English
- SAVE -10% with code: EXTRA
Computational Analysis of Nonnegative Polynomial Systems (e-book) (used book) | bookbook.eu
Reviews
Description
Nonnegative systems play an important role in various fields such as (bio)chemistry, economy, population dynamics or even in transportation modeling where the state variables of the models are often physically constrained to be nonnegative. The aim of this book is to summarize and present computation based analysis results for certain classes of nonnegative models that are primarily applied in the description of biochemical processes, and are given in the form of nonlinear ordinary differential equations. Majority of the developed analysis methods are put into an optimization framework, and they include the stability analysis and control of quasi-polynomial systems, and the computation of preferred reaction network structures from kinetic system models.
EXTRA 10 % discount with code: EXTRA
The promotion ends in 19d.14:47:46
The discount code is valid when purchasing from 10 €. Discounts do not stack.
- Author: Gábor Szederkényi
- Publisher: Scholars' Press
- Year: 2014
- ISBN-10: 3639660137
- ISBN-13: 9783639660135
- Format: 15.2 x 22.9 x 1 cm, softcover
- Language: English English
Nonnegative systems play an important role in various fields such as (bio)chemistry, economy, population dynamics or even in transportation modeling where the state variables of the models are often physically constrained to be nonnegative. The aim of this book is to summarize and present computation based analysis results for certain classes of nonnegative models that are primarily applied in the description of biochemical processes, and are given in the form of nonlinear ordinary differential equations. Majority of the developed analysis methods are put into an optimization framework, and they include the stability analysis and control of quasi-polynomial systems, and the computation of preferred reaction network structures from kinetic system models.
Reviews