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Numerical Analysis of Ordinary and Delay Differential Equations

  • Textbook
  • © 2023

Overview

  • Is a concise textbook of numerical solutions of both ordinary differential equations and delay DEs
  • Provides readers with numerical algorithms and explicit illustrative figures
  • Treats complex function theory in a manner that shows its usefulness

Part of the book series: UNITEXT (UNITEXT, volume 145)

Part of the book sub series: La Matematica per il 3+2 (UNITEXTMAT)

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Table of contents (8 chapters)

Keywords

About this book

This book serves as a concise textbook for students in an advanced undergraduate or first-year graduate course in various disciplines such as applied mathematics, control, and engineering, who want to understand the modern standard of numerical methods of ordinary and delay differential equations. Experts in the same fields can also learn about the recent developments in numerical analysis of such differential systems. 


Ordinary differential equations (ODEs) provide a strong mathematical tool to express a wide variety of phenomena in science and engineering. Along with its own significance, one of the powerful directions toward which ODEs extend is to incorporate an unknown function with delayed argument. This is called delay differential equations (DDEs), which often appear in mathematical modelling of biology, demography, epidemiology, and control theory. In some cases, the solution of a differential equation can be obtained by algebraic combinations of known mathematical functions. In many practical cases, however, such a solution is quite difficult or unavailable, and numerical approximations are called for. Modern development of computers accelerates the situation and, moreover, launches more possibilities of numerical means. Henceforth, the knowledge and expertise of the numerical solution of differential equations becomes a requirement in broad areas of science and engineering.


One might think that a well-organized software package such as MATLAB serves much the same solution. In a sense, this is true; but it must be kept in mind that blind employment of software packages misleads the user. The gist of numerical solution of differential equations still must be learned. 


The present book is intended to provide the essence of numerical solutions of ordinary differential equations as well as of delay differential equations. Particularly, the authors noted that there are still few concise textbooks of delay differential equations, and then they set about filling the gap through descriptions as transparent as possible. Major algorithms of numerical solution are clearly described in this book. The stability of solutions of ODEs and DDEs is crucial as well. The book introduces the asymptotic stability of analytical and numerical solutions and provides a practical way to analyze their stability by employing a theory of complex functions.

Authors and Affiliations

  • Nagoya University, Nagoya, Japan

    Taketomo Mitsui

  • Department of Mathematics, Shanghai University, Shanghai, China

    Guang-Da Hu

About the authors

Professor Taketomo Mitsui is currently Professor Emeritus at Nagoya University.

Professor Guang-Da Hu is a professor at Department of Mathematics, Shanghai University.


Bibliographic Information

  • Book Title: Numerical Analysis of Ordinary and Delay Differential Equations

  • Authors: Taketomo Mitsui, Guang-Da Hu

  • Series Title: UNITEXT

  • DOI: https://doi.org/10.1007/978-981-19-9263-6

  • Publisher: Springer Singapore

  • eBook Packages: Mathematics and Statistics, Mathematics and Statistics (R0)

  • Copyright Information: The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2023

  • Softcover ISBN: 978-981-19-9262-9Published: 24 May 2023

  • eBook ISBN: 978-981-19-9263-6Published: 23 May 2023

  • Series ISSN: 2038-5714

  • Series E-ISSN: 2532-3318

  • Edition Number: 1

  • Number of Pages: VIII, 113

  • Number of Illustrations: 28 b/w illustrations, 9 illustrations in colour

  • Topics: Numerical Analysis, Analysis, Algorithms

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