Solving Ordinary Differential Equations in Python by Joakim Sundnes
Solving Ordinary Differential Equations in Python - Table of Contents
- 1. Programming a Simple ODE Solver and python euler method ode solver implementation
- 2. Improving the Accuracy and runge kutta fourth order python implementation
- 3. Stable Solvers for Stiff ODE Systems and stiff differential equations implicit python solver
- 4. Adaptive Time Step Methods and adaptive time step numerical ode solvers
- 5. Modeling Infectious Diseases and epidemiological sir model differential equations python
- 6. Programming of Difference Equations and difference equations recursive algorithms python
What You Will Learn in Solving Ordinary Differential Equations in Python
Solving Ordinary Differential Equations in Python by Joakim Sundnes is an accessible, open-access textbook bridging numerical analysis with hands-on scientific programming. Structured logically across 6 core chapters, this volume covers Euler methods, Runge-Kutta numerical schemes, stiff system stability, adaptive time-stepping algorithms, epidemiological modeling, and difference equation implementations.
Tailored for undergraduate STEM majors, computational biology researchers, and software engineers, Prof. Sundnes emphasizes clean object-oriented Python design patterns for mathematical algorithms. Readers are guided step-by-step through constructing modular ODE solver classes, evaluating local and global truncation errors, handling stiff differential systems, and simulating SIR epidemic dynamics.
Prized for its applied programming approach, clear code examples, and practical numerical focus, it stands as one of the best computational differential equations python textbooks pdf available for study. It systematically equips programmers and scientists with essential algorithms for mastering numerical ODE solutions with confidence.
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
is a Norwegian computational scientist, author, and Research Professor at Simula Research Laboratory in Norway.
Specializing in scientific computing, bio-numerical modeling, and software engineering, Dr. Sundnes has authored multiple open educational resources focused on solving complex differential systems using modern Python programming techniques.
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