Boundary and Interior Layers, Computational and Asymptotic Methods BAIL 2016

  • Zhongyi Huang
  • Martin Stynes
  • Zhimin Zhang

Part of the Lecture Notes in Computational Science and Engineering book series (LNCSE, volume 120)

Table of contents

  1. Front Matter
    Pages i-viii
  2. Gael de Oliveira, Marios Kotsonis, Bas van Oudheusden
    Pages 63-76
  3. Back Matter
    Pages 204-211

About these proceedings


This volume collects papers associated with lectures that were presented at the BAIL 2016 conference, which was held from 14 to 19 August 2016 at Beijing Computational Science Research Center and Tsinghua University in Beijing, China. It showcases the variety and quality of current research into numerical and asymptotic methods for theoretical and practical problems whose solutions involve layer phenomena.

The BAIL (Boundary And Interior Layers) conferences, held usually in even-numbered years, bring together mathematicians and engineers/physicists whose research involves layer phenomena, with the aim of promoting interaction between

these often-separate disciplines. These layers appear as solutions of singularly perturbed differential equations of various types, and are common in physical problems, most notably in fluid dynamics.

This book is of interest for current researchers from mathematics, engineering and physics whose work involves the accurate app

roximation of solutions of singularly perturbed differential equations; that is, problems whose solutions exhibit boundary and/or interior layers.


boundary layer interior layer singularly perturbed convection-dominated reaction-dominated Navier-Stokes

Editors and affiliations

  • Zhongyi Huang
    • 1
  • Martin Stynes
    • 2
  • Zhimin Zhang
    • 3
  1. 1.Dept. of Mathematical SciencesTsinghua UniversityBeijingChina
  2. 2.Applied and Computational MathematicsBeijing Computational Science Research CenterBeijingChina
  3. 3.Applied and Computational MathematicsBeijing Computational Science Research CenterBeijingChina

Bibliographic information

  • DOI
  • Copyright Information Springer International Publishing AG 2017
  • Publisher Name Springer, Cham
  • eBook Packages Mathematics and Statistics
  • Print ISBN 978-3-319-67201-4
  • Online ISBN 978-3-319-67202-1
  • Series Print ISSN 1439-7358
  • Series Online ISSN 2197-7100
  • Buy this book on publisher's site
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