Asymptotics of Elliptic and Parabolic PDEs: and their Applications in Statistical Physics, Computational Neuroscience, and Biophysics: 199 (Applied Mathematical Sciences, 199) - Image 1

£82.33

Springer Asymptotics of Elliptic and Parabolic PDEs: and their Applications in Statistical Physics, Computational Neuroscience, and Biophysics: 199 (Applied Mathematical Sciences, 199)

Name: Asymptotics of Elliptic and Parabolic PDEs: and their Applications in Statistical Physics, Computational Neuroscience, and Biophysics: 199 (Applied Mathematical Sciences, 199)
Brand: Springer
Price: 82.33 GBP
Availability: InStock

Biological Science

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Description

This is a monograph on the emerging branch of mathematical biophysics combining asymptotic analysis with numerical and stochastic methods to analyze partial differential equations arising in biological and physical sciences. In more detail, the book presents the analytic methods and tools for approximating solutions of mixed boundary value problems, with particular emphasis on the narrow escape problem. Informed throughout by real-world applications, the book includes topics such as the Fokker-Planck equation, boundary layer analysis, WKB approximation, applications of spectral theory, as well as recent results in narrow escape theory. Numerical and stochastic aspects, including mean first passage time and extreme statistics, are discussed in detail and relevant applications are presented in parallel with the theory. Including background on the classical asymptotic theory of differential equations, this book is written for scientists of various backgrounds interested inderiving solutions to real-world problems from first principles.

Product Specifications

Brand: Springer
Format: hardcover
ASIN: 3319768948
Category: Books > Subjects > Science, Nature & Maths > Biological Sciences > Biological Science
Domain: Amazon UK
Release Date: 06 June 2018
Listed Since: 01 February 2018

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Springer Asymptotics of Elliptic and Parabolic PDEs: and their Applications in Statistical Physics, Computational Neuroscience, and Biophysics: 199 (Applied Mathematical Sciences, 199)

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