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Recent Advances in Mathematical and Statistical Methods

IV AMMCS International Conference, Waterloo, Canada, August 20–25, 2017

  • Conference proceedings
  • © 2018

Overview

Part of the book series: Springer Proceedings in Mathematics & Statistics (PROMS, volume 259)

Included in the following conference series:

Conference proceedings info: AMMCS 2017.

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Table of contents (57 papers)

  1. Advances in Mathematical and Statistical Modelling

  2. Analytical and Computational Methods in Inverse Problems

  3. Computational Methods and Modelling in Engineering and Mechanics

Other volumes

  1. Recent Advances in Mathematical and Statistical Methods

Keywords

About this book

This book focuses on the recent development of methodologies and computation methods in mathematical and statistical modelling, computational science and applied mathematics. It emphasizes the development of theories and applications, and promotes interdisciplinary endeavour among mathematicians, statisticians, scientists, engineers and researchers from other disciplines.

The book provides ideas, methods and tools in mathematical and statistical modelling that have been developed for a wide range of research fields, including medical, health sciences, biology, environmental science, engineering, physics and chemistry, finance, economics and social sciences. It presents original results addressing real-world problems.

The contributions are products of a highly successful meeting held in August 2017 on the main campus of Wilfrid Laurier University, in Waterloo, Canada, the International Conference on Applied Mathematics, Modeling and Computational Science (AMMCS-2017). They make this book a valuable resource for readers interested not only in a broader overview of the methods, ideas and tools in mathematical and statistical approaches, but also in how they can attain valuable insights into problems arising in other disciplines.


Editors and Affiliations

  • Department of Mathematics & MS2Discovery Interdisciplinary Research Institute, Wilfrid Laurier University, Waterloo, Canada

    D. Marc Kilgour, Roman Makarov, Roderick Melnik, Xu Wang

  • Department of Mathematics & Statistics, University of Guelph, Guelph, Canada

    Herb Kunze

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