Solving Ordinary Differential Equations in Python

This open access volume explains the foundations of modern solvers for ordinary differential equations (ODEs). Formulating and solving ODEs is an essential part of mathematical modeling and computational science, and numerous solvers are available in commercial and open source software. However, no...

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Váldodahkki: Sundnes, Joakim (auth)
Materiálatiipa: Elektrovnnalaš Girjji oassi
Giella:eaŋgalasgiella
Almmustuhtton: Cham Springer Nature 2024
Ráidu:Simula SpringerBriefs on Computing 15
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OAPEN Library: description of the publication
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Čoahkkáigeassu:This open access volume explains the foundations of modern solvers for ordinary differential equations (ODEs). Formulating and solving ODEs is an essential part of mathematical modeling and computational science, and numerous solvers are available in commercial and open source software. However, no single ODE solver is the best choice for every single problem, and choosing the right solver requires fundamental insight into how the solvers work. This book will provide exactly that insight, to enable students and researchers to select the right solver for any ODE problem of interest, or implement their own solvers if needed. The presentation is compact and accessible, and focuses on the large and widely used class of solvers known as Runge-Kutta methods. 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.
Olgguldas hápmi:1 electronic resource (114 p.)
ISBN:978-3-031-46768-4
9783031467684
9783031467677
Beassan:Open Access