Mathematical Oncology 2013

Name: Mathematical Oncology 2013
Brand: Birkhauser Boston Inc
SKU: 9781493904570
Price: 105.26 EUR
Availability: InStock

Автор: Alberto D'Onofrio, Alberto Gandolfi

Език:

Корици: С твърди корици

Издател: Birkhauser Boston Inc

Наличност: Външен склад

Изпращаме след 10-13 дни

105.26 € 205.87 лв

With chapters on free boundaries, constitutive equations, stochastic dynamics, nonlinear diffusion c...

Информация за книгата

Автор

Alberto D'Onofrio, Alberto Gandolfi

Език

Английски език

Корици

Книга - С твърди корици

Издадена

2014

страници

334

EAN

9781493904570

ISBN

1493904574

Enbook ID

05259363

Издател

Birkhauser Boston Inc

Теглоt

630

Размери

161 x 241 x 19

Пълно описание

With chapters on free boundaries, constitutive equations, stochastic dynamics, nonlinear diffusion consumption, structured populations, and applications of optimal control theory, this volume presents the most significant recent results in the field of mathematical oncology. It highlights the work of world-class research teams, and explores how different researchers approach the same problem in various ways.§§Tumors are complex entities that present numerous challenges to the mathematical modeler. First and foremost, they grow. Thus their spatial mean field description involves a free boundary problem. Second, their interiors should be modeled as nontrivial porous media using constitutive equations. Third, at the end of anti-cancer therapy, a small number of malignant cells remain, making the post-treatment dynamics inherently stochastic. Fourth, the growth parameters of macroscopic tumors are non-constant, as are the parameters of anti-tumor therapies. Changes in these parameters may induce phenomena that are mathematically equivalent to phase transitions. Fifth, tumor vascular growth is random and self-similar. Finally, the drugs used in chemotherapy diffuse and are taken up by the cells in nonlinear ways.§§Mathematical Oncology 2013 will appeal to graduate students and researchers in biomathematics, computational and theoretical biology, biophysics, and bioengineering.§

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