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Download Mathematical Modeling of Complex Biological Systems: A Kinetic Theory Approach (Modeling and Simulation in Science, Engineering and Technology) eBook

by Marcello Delitala,Abdelghani Bellouquid

Download Mathematical Modeling of Complex Biological Systems: A Kinetic Theory Approach (Modeling and Simulation in Science, Engineering and Technology) eBook
ISBN:
0817643958
Author:
Marcello Delitala,Abdelghani Bellouquid
Category:
Medicine & Health Sciences
Language:
English
Publisher:
Birkhäuser; 2006 edition (August 17, 2006)
Pages:
188 pages
EPUB book:
1955 kb
FB2 book:
1519 kb
DJVU:
1100 kb
Other formats
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Rating:
4.1
Votes:
653


Specifically, it deals with modeling and simulations of biological systems-comprised of. .

Specifically, it deals with modeling and simulations of biological systems-comprised of large populations of interacting cells-whose dynamics follow the rules of mechanics as well as rules governed by their own ability to organize movement and biological functions. The authors propose a new biological model for the analysis of competition between cells of an aggressive host and cells of a corresponding immune system.

This book describes the evolution of several socio-biological systems using mathematical kinetic theory

This book describes the evolution of several socio-biological systems using mathematical kinetic theory. Specifically, it deals with modeling and simulations of biological systems-comprised of large populations of interacting cells-whose dynamics follow the rules of mechanics as well as rules governed by their own ability to organize movement and biological functions. The authors propose a new biological model for the analysis of competition between cells of an aggressive host and cells of a corresponding immune system

Using tools from mathematical kinetic theory and stochastic game theory, this work deals with the modeling of large complex systems in the applied sciences, particularly those comprised of several interacting individuals whose dynamics follow rules determined by some organized, or even.

Using tools from mathematical kinetic theory and stochastic game theory, this work deals with the modeling of large complex systems in the applied sciences, particularly those comprised of several interacting individuals whose dynamics follow rules determined by some organized, or even "intelligent" ability. Traditionally, methods of mathematical kinetic theory have been applied to model the evolution of large systems of interacting classical or quantum particles. This book, on the other hand, examines the modeling of living systems as opposed to inert systems.

The modeling of biological systems has recently been developed by a new approach based on the kinetic theory of active particles . Several applications have experienced, especially focusing on the modeling of immune competition3456789 . This means that the microscopic state of the system is described by a variable u called activation (or biological function), while the evolution of the system can be described by a distribution function over the said micro-scale variable.

elibrary Engineering and Mathematics Mathematical Modeling of Complex Biological Systems A Kinetic . Cysticercosis of the Human Nervous System. Delay Systems From Theory to Numerics and Applications.

elibrary Engineering and Mathematics Mathematical Modeling of Complex Biological Systems A Kinetic Theory Approach (Modeling and Simulation in Science, Engineering and Technology). Bernardine Evaristo becomes first Black woman to receive the 2019 Booker Prize for Fiction.

A KINETIC THEORY APPROACH Marcello Edoardo Delitala . The contents of the Thesis have been collected and published in the book: A. Bellouquid, M. Delitala, Mathematical Modeling of Complex Biological Systems.

The contents of the Thesis have been collected and published in the book: A.

Описание: Mathematical modelling of systems constituted by many agents using kinetic theory is a new tool that .

Описание: Mathematical modelling of systems constituted by many agents using kinetic theory is a new tool that has proved effective in predicting the emergence of collective behaviours and self-organization. This idea has been applied by the authors to various problems which range from sociology to economics and life sciences.

12 Classical Models of Kinetic Theory. 4. 13 Discrete Velocity Models. Complex Biological Systems Mutations and Immune Competition. 52 A Model by Bertotti and Delitala. 83. 53 Qualitative Analysis and Simulations. 89. 54 Some Ideas on Further Modeling Perspectives

12 Classical Models of Kinetic Theory. 13. 14 Guidelines for Modeling Living Systems. 15. 15 Purpose and Plan of the Book. 20. Mathematical Structures of the Kinetic Theory for Active Particles. 24 Mathematical Frameworks. 44. 25 Some Particular Frameworks. 47. 26 Additional Concepts. 54 Some Ideas on Further Modeling Perspectives. 96. 72 Modeling the Immune Competition. 149. 73 Mathematical Structures for Modeling.

Abdelghani Bellouquid Marcello Delitala Mathematical Modeling of Complex Biological Systems A.

Abdelghani Bellouquid Marcello Delitala Mathematical Modeling of Complex Biological Systems A Kinetic Theory Approach. Mathematical Modeling of Complex Biological Systems: A Kinetic Theory Approach (Modeling and Simulation in Science, Engineering and Technology). Abdelghani Bellouquid Marcello Delitala Mathematical Modeling of Complex Biological Systems A Kinetic Theory Approach. Modeling and Analysis of Telecommunications Networks.

This book describes the evolution of several socio-biological systems using mathematical kinetic theory. Specifically, it deals with modeling and simulations of biological systems whose dynamics follow the rules of mechanics as well as rules governed by their own ability to organize movement and biological functions. It proposes a new biological model focused on the analysis of competition between cells of an aggressive host and cells of a corresponding immune system. Proposed models are related to the generalized Boltzmann equation. The book may be used for advanced graduate courses and seminars in biological systems modeling.