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- Title: Solving Ordinary Differential Equations in Python
- Author(s) Joakim Sundnes
- Publisher: Springer; 1st ed. 2024 edition (November 10, 2023); eBook (Creative Commons Licensed)
- License(s): Creative Commons License (CC)
- Paperback: 128 pages
- eBook: PDF
- Language: English
- ISBN-10: 3031467671
- ISBN-13: 978-3031467677
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This open access book explains the foundations of modern solvers for ordinary differential equations (ODEs). Explicit and implicit methods are motivated and explained, as well as methods for error control and automatic time step selection, and all the solvers are implemented as a class hierarchy in Python.
This book is open access under a CC BY license.
About the Authors- N/A
- Differential Equations
- Python Programming
- Numerical Analysis and Scientific Computing
- Calculus and Mathematical Analysis
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Solving PDEs in Python: The FEniCS Tutorial I (H. Langtangen)
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Scaling of Differential Equationsn (Hans Langtangen, et al.)
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Programming for Computations - Python 3 Edition
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Scipy Lecture Notes (Emmanuelle Gouillart, et al)
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From Python to NumPy (Nicolas P. Rougier)
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Boundary Element Methods in Engineering and Sciences
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Finite Element Analysis: Biomedical Apps to Industrial
This book presents represents a numerical technique for finding approximate solutions to partial differential equations as well as integral equations, permitting the numerical analysis of complex structures based on their material properties.
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Finite Difference Computing with PDEs: A Software Approach
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Architecture of Advanced Numerical Analysis Systems
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