@article{839524,
      recid = {839524},
      author = {Holcman, David, and Schuss, Zeev,},
      title = {Asymptotics of elliptic and parabolic PDEs : and their  Applications in Statistical Physics, Computational  Neuroscience, and Biophysics /},
      pages = {1 online resource (xxiii, 444 pages) :},
      abstract = {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.},
      url = {http://library.usi.edu/record/839524},
      doi = {https://doi.org/10.1007/978-3-319-76895-3},
}