Advances in Applied Mathematics, Modeling, and Computational Science

  • Roderick Melnik
  • Ilias S. Kotsireas

Part of the Fields Institute Communications book series (FIC, volume 66)

Table of contents

  1. Front Matter
    Pages I-IX
  2. Alan Edelman, Yuyang Wang
    Pages 91-116
  3. Jay Chu, Björn Engquist, Maša Prodanović, Richard Tsai
    Pages 161-185
  4. Rak-Kyeong Seong, Pascal Getreuer, Yingying Li, Theresa Girardi, Carolyn M. Salafia, Dimitri D. Vvedensky
    Pages 187-208
  5. Suzanne Lenhart, Erin Bodine, Peng Zhong, Hem Raj Joshi
    Pages 209-238
  6. Back Matter
    Pages 239-242

About this book

Introduction

This volume presents a selection of in-depth studies and state-of-the-art surveys of several challenging topics that are at the forefront of modern applied mathematics, mathematical modeling, and computational science.  These three areas represent the foundation upon which the methodology of mathematical modeling and computational experiment is built as a tool in all areas of applications of mathematics. The articles cover both fundamental and applied research, and provide the reader with state-of-the-art achievements in the development and application of new theories at the interfaces of applied mathematics, modeling, and computational science.

The book can serve as a reference on several important current topics in modern applied mathematics and modeling, including random matrix theory with its innovative applications, and dynamic blocking problems. Other important areas covered include: energy stable weighted essentially non-oscillatory schemes with applications in fluid dynamics and aerospace sciences; elliptic curves over finite fields and their applications in cryptography; multiple scale methods coupling network and continuum models and their applications in various areas involving porous media; new and efficient finite difference schemes for hyperbolic equations; statistical geometric  and topological techniques and their applications in the life sciences; optimal control applications combining discrete and continuous features.

The material presented in this book aims at fostering interdisciplinary collaborations required to meet the modern challenges of applied mathematics, modeling and computational science. At the same time, the contributions combine rigorous mathematical and computational procedures and examples from a variety of applications ranging from engineering to life sciences, and provide a rich source for graduate student projects.

Keywords

computational science dynamic blocking problems elliptic curves mathematical modeling random matrix theory

Editors and affiliations

  • Roderick Melnik
    • 1
  • Ilias S. Kotsireas
    • 2
  1. 1., Department of MathematicsWilfrid Laurier UniversityWaterlooCanada
  2. 2., Dept. of Physics and Computer ScienceWilfrid Laurier UniversityWaterlooCanada

Bibliographic information

  • DOI https://doi.org/10.1007/978-1-4614-5389-5
  • Copyright Information Springer Science+Business Media New York 2013
  • Publisher Name Springer, Boston, MA
  • eBook Packages Mathematics and Statistics
  • Print ISBN 978-1-4614-5388-8
  • Online ISBN 978-1-4614-5389-5
  • Series Print ISSN 1069-5265
  • Series Online ISSN 2194-1564
  • About this book