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Asymptotics of elliptic and parabolic pdes: and their applications in statistical physics, computational neuroscience, and biophysics
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 approx...
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Lenguaje: | eng |
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Springer
2018
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Acceso en línea: | https://dx.doi.org/10.1007/978-3-319-76895-3 http://cds.cern.ch/record/2622179 |
_version_ | 1780958573472251904 |
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author | Holcman, David Schuss, Zeev |
author_facet | Holcman, David Schuss, Zeev |
author_sort | Holcman, David |
collection | CERN |
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 in deriving solutions to real-world problems from first principles. |
id | cern-2622179 |
institution | Organización Europea para la Investigación Nuclear |
language | eng |
publishDate | 2018 |
publisher | Springer |
record_format | invenio |
spelling | cern-26221792021-04-21T18:48:46Zdoi:10.1007/978-3-319-76895-3http://cds.cern.ch/record/2622179engHolcman, DavidSchuss, ZeevAsymptotics of elliptic and parabolic pdes: and their applications in statistical physics, computational neuroscience, and biophysicsMathematical Physics and MathematicsThis 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 in deriving solutions to real-world problems from first principles.Springeroai:cds.cern.ch:26221792018 |
spellingShingle | Mathematical Physics and Mathematics Holcman, David Schuss, Zeev Asymptotics of elliptic and parabolic pdes: and their applications in statistical physics, computational neuroscience, and biophysics |
title | Asymptotics of elliptic and parabolic pdes: and their applications in statistical physics, computational neuroscience, and biophysics |
title_full | Asymptotics of elliptic and parabolic pdes: and their applications in statistical physics, computational neuroscience, and biophysics |
title_fullStr | Asymptotics of elliptic and parabolic pdes: and their applications in statistical physics, computational neuroscience, and biophysics |
title_full_unstemmed | Asymptotics of elliptic and parabolic pdes: and their applications in statistical physics, computational neuroscience, and biophysics |
title_short | Asymptotics of elliptic and parabolic pdes: and their applications in statistical physics, computational neuroscience, and biophysics |
title_sort | asymptotics of elliptic and parabolic pdes: and their applications in statistical physics, computational neuroscience, and biophysics |
topic | Mathematical Physics and Mathematics |
url | https://dx.doi.org/10.1007/978-3-319-76895-3 http://cds.cern.ch/record/2622179 |
work_keys_str_mv | AT holcmandavid asymptoticsofellipticandparabolicpdesandtheirapplicationsinstatisticalphysicscomputationalneuroscienceandbiophysics AT schusszeev asymptoticsofellipticandparabolicpdesandtheirapplicationsinstatisticalphysicscomputationalneuroscienceandbiophysics |