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Takashi Suzuki - Mathematical Methods for Cancer Evolution - 9789811036705 - V9789811036705
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Mathematical Methods for Cancer Evolution

€ 107.44
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Description for Mathematical Methods for Cancer Evolution Paperback. Series: Lecture Notes on Mathematical Modelling in the Life Sciences. Num Pages: 40 black & white illustrations, biography. BIC Classification: PBKJ. Category: (P) Professional & Vocational. Dimension: 235 x 155. .
The purpose of this monograph is to describe recent developments in mathematical modeling and mathematical analysis of certain problems arising from cell biology. Cancer cells and their growth via several stages are of particular interest. To describe these events, multi-scale models are applied, involving continuously distributed environment variables and several components related to particles. Hybrid simulations are also carried out, using discretization of environment variables and the Monte Carlo method for the principal particle variables. Rigorous mathematical foundations are the bases of these tools.The monograph is composed of four chapters. The first three chapters are concerned with modeling, while the ... Read more

Product Details

Format
Paperback
Publication date
2018
Publisher
Springer Verlag, Singapore Singapore
Condition
New
Series
Lecture Notes on Mathematical Modelling in the Life Sciences
Number of Pages
144
Place of Publication
Singapore, Singapore
ISBN
9789811036705
SKU
V9789811036705
Shipping Time
Usually ships in 15 to 20 working days
Ref
99-15

Reviews for Mathematical Methods for Cancer Evolution
“This book deals with the mathematical analysis of selected models of reaction-diffusion systems. The book is intended to both graduate as well as advanced undergraduate students in applied mathematics.” (Luisa Consiglieri, zbMATH 1397.92005, 2018) “The author, in this short book, develops a variety of multi-scale mathematical models for cancer cell phenomena that occur at several different stages in the ... Read more

Goodreads reviews for Mathematical Methods for Cancer Evolution


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