Solving Ordinary Differential Equations in Python by Joakim Sundnes

Solving Ordinary Differential Equations in Python - Table of Contents

1. Programming a Simple ODE Solver
2. Improving the Accuracy
3. Stable Solvers for Stiff ODE Systems
4. Adaptive Time Step Methods
5. Modeling Infectious Diseases
6. Programming of Difference Equations

What You Will Learn in Solving Ordinary Differential Equations in Python

This book provide and explains the more comprehensive overview of state-of-the art solvers for ordinary differential equations (ODEs), the notes have been extended with additional material on implicit solvers and automatic time-stepping methods. The main purpose of the notes is to serve as a concise and gentle introduction to solving differential equations in Python, specifically for the course Introduction to programming for scientific applications. This book is provide the necessary understanding and background knowledge and to motivate further studies of the relevant scientific literature. A typical brief in this series should be around 100 pages and should be well suited as material for a research seminar in a well-defined and limited area of computing.

Book Details & Specifications

Title: Solving Ordinary Differential Equations in Python by Joakim Sundnes
Publisher: Springer
Year: 2024
Pages: 128
Type: PDF
Language: English
ISBN-10 #: 3031467671
ISBN-13 #: 978-3031467677
License: CC BY 4.0
Amazon: Amazon

About the Author: Joakim Sundnes

The author Joakim Sundnes , Simula Research Laboratory, Oslo, Norway

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