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Recent Developments in Mathematical, Statistical and Computational Sciences

The V AMMCS International Conference, Waterloo, Canada, August 18–23, 2019

  • Conference proceedings
  • © 2021

Overview

Editors:
  1. D. Marc Kilgour

    1. Department of Mathematics, Wilfrid Laurier University, Waterloo, Canada

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  2. Herb Kunze

    1. Department of Mathematics and Statistics, University of Guelph, Guelph, Canada

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  3. Roman Makarov

    1. Department of Mathematics, Wilfrid Laurier University, Waterloo, Canada

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  4. Roderick Melnik

    1. Department of Mathematics, Wilfrid Laurier University, Waterloo, Canada

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  5. Xu Wang

    1. Department of Mathematics, Wilfrid Laurier University, Waterloo, Canada

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  • Constitute an up-to-date account of principles, methods, and tools for mathematical and statistical modelling
  • Cover the applications in a wide range of research fields, including medicine, health sciences, biology, environmental science, engineering, physics, chemistry, computation, finance, economics, and social sciences
  • Present original solutions to real-world problems
  • Emphasize the coordinated development of theories and applications
  • Promote interdisciplinary collaboration among mathematicians, statisticians, and researchers in other disciplines

Part of the book series: Springer Proceedings in Mathematics & Statistics (PROMS, volume 343)

Included in the following conference series:

Conference proceedings info: AMMCS 2019.

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Table of contents (68 papers)

  1. Front Matter

    Pages i-xiv
    Download chapter PDF

  2. Advances in Mathematical Modelling and Theory

    1. Front Matter

      Pages 1-1
      Download chapter PDF

    2. A Moving Horizon State Estimator for Real-Time Stabilization of a Double Inverted Pendulum

      • Amanda Bernstein, Ethan King, Hien Tran
      Pages 3-13

    3. Spontaneous Symmetry-Breaking in Deterministic Queueing Models with Delayed Information

      • Juancho A. Collera
      Pages 15-25

    4. Algebraic Structure of the Varikon Box

      • Jason d’Eon, Chrystopher L. Nehaniv
      Pages 27-36

    5. A Bestiary of Transformation Semigroups for the Holonomy Decomposition

      • Attila Egri-Nagy, Chrystopher L. Nehaniv
      Pages 37-46

    6. Spatial Iterated Prisoner’s Dilemma as a Transformation Semigroup

      • Isaiah Farahbakhsh, Chrystopher L. Nehaniv
      Pages 47-57

    7. Oscillations and Periodic Solutions in a Two-Dimensional Differential Delay Model

      • Anatoli F. Ivanov, Zari A. Dzalilov
      Pages 59-70

    8. Exploring Tetris as a Transformation Semigroup

      • Peter C. Jentsch, Chrystopher L. Nehaniv
      Pages 71-80

    9. Differential Equations Using Generalized Derivatives on Fractals

      • Herb Kunze, Davide La Torre, Franklin Mendivil, Edward R. Vrscay
      Pages 81-91

    10. Revisiting Path-Following to Solve the Generalized Nash Equilibrium Problem

      • Tangi Migot, Monica-G. Cojocaru
      Pages 93-101

    11. Properties of the Zeros of the Scale-Delay Equation and Its Time-Variant ODE Realization

      • Erik I. Verriest
      Pages 103-113

  3. Advances in Statistical Modelling and Data Analysis

    1. Front Matter

      Pages 115-115
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    2. Covering Large Complex Networks by Cliques—A Sparse Matrix Approach

      • W. M. Abdullah, S. Hossain, M. A. Khan
      Pages 117-127

    3. Comparing Regularization Techniques Applied to a Perceptron

      • Bryson Boreland, Herb Kunze, Kimberly M. Levere
      Pages 129-136

    4. Key Performance Indicators and Individual Factors on Penalty Kicks

      • Joao Fialho
      Pages 137-146

    5. Sparse Covariance and Precision Random Design Regression

      • Xi Fang, Steven Winter, Adam B. Kashlak
      Pages 147-156

    6. Applying Neural Networks to a Fractal Inverse Problem

      • Liam Graham, Matthew Demers
      Pages 157-165

    7. Solving Parameter Identification Problems using the Collage Distance and Entropy

      • Herb Kunze, Davide La Torre
      Pages 167-175

    8. Mean-Square Stability of Stochastic System with Impulse and Unbounded Delay

      • Mengling Li, Feiqi Deng, Xinzhi Liu
      Pages 177-185
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Other volumes

  1. Recent Developments in Mathematical, Statistical and Computational Sciences

Keywords

About this book

This book constitutes an up-to-date account of principles, methods, and tools for mathematical and statistical modelling in a wide range of research fields, including medicine, health sciences, biology, environmental science, engineering, physics, chemistry, computation, finance, economics, and social sciences. It presents original solutions to real-world problems, emphasizes the coordinated development of theories and applications, and promotes interdisciplinary collaboration among mathematicians, statisticians, and researchers in other disciplines.

Based on a highly successful meeting, the International Conference on Applied Mathematics, Modeling and Computational Science, AMMCS 2019, held from August 18 to 23, 2019, on the main campus of Wilfrid Laurier University, Waterloo, Canada, the contributions are the results of submissions from the conference participants. They provide readers with a broader view of the methods, ideas and tools used in mathematical, statistical andcomputational sciences.



Editors and Affiliations

  • Department of Mathematics, Wilfrid Laurier University, Waterloo, Canada

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

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

    Herb Kunze

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