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Mathematical Methods for Cancer Evolution

Name: Mathematical Methods for Cancer Evolution
Brand: Springer Verlag, Singapore
SKU: 9789811036705
Price: 57.92 EUR
Availability: InStock

Автор: Takashi Suzuki

Език:

Корици: С меки корици

Издател: Springer Verlag, Singapore

Наличност: Външен склад

Изпращаме след 10-18 дни

57.92 € 113.28 лв

The purpose of this monograph is to describe recent developments in mathematical modeling and mathem...

Информация за книгата

Автор

Takashi Suzuki

Език

Английски език

Корици

Книга - С меки корици

Издадена

2017

страници

144

EAN

9789811036705

ISBN

9811036705

Enbook ID

15602919

Издател

Springer Verlag, Singapore

Теглоt

2409

Размери

155 x 235 x 9

Пълно описание

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 last one is devoted to mathematical analysis. The first chapter deals with molecular dynamics occurring at the early stage of cancer invasion. A pathway network model based on a biological scenario is constructed, and then its mathematical structures are determined. In the second chapter mathematical modeling is introduced, overviewing several biological insights, using partial differential equations. Transport and gradient are the main factors, and several models are introduced including the Keller-Segel systems. The third chapter treats the method of averaging to model the movement of particles, based on mean field theories, employing deterministic and stochastic approaches. Then appropriate parameters for stochastic simulations are examined. The segment model is finally proposed as an application. In the fourth chapter, thermodynamic features of these models and how these structures are applied in mathematical analysis are examined, that is, negative chemotaxis, parabolic systems with non-local term accounting for chemical reactions, mass-conservative reaction-diffusion systems, and competitive systems of chemotaxis. The monograph concludes with the method of the weak scaling limit applied to the Smoluchowski-Poisson equation.