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Programming for Computations – Python - A Gentle Introduction to Numerical Simulations with Python 3.6, Volume Second Edition
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Page - 214 - in Programming for Computations – Python - A Gentle Introduction to Numerical Simulations with Python 3.6, Volume Second Edition

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Image of the Page - 214 - in Programming for Computations – Python - A Gentle Introduction to Numerical Simulations with Python 3.6, Volume Second Edition

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214 8 SolvingOrdinaryDifferentialEquations Fig. 8.3 Mesh in timewithcorresponding discrete values (unknowns) Fig. 8.4 Illustration of a forward difference approximation to the derivative The collection of points t0,t1,.. .,tNt is called a mesh (or grid), while the correspondingun values4 collectivelyare referred to asamesh function. Let us use an example to illustrate the givensteps. First, we introduce the mesh, which often is uniform, meaning that the spacing between mesh points tn and tn+1 4 To get an estimate of u in between the mesh points, one often assumes a straight line relationship between computed un values. Check out linear interpolation, e.g., on Wikipedia (https://en.wikipedia.org/wiki/Linear_interpolation).
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Programming for Computations – Python A Gentle Introduction to Numerical Simulations with Python 3.6, Volume Second Edition
Title
Programming for Computations – Python
Subtitle
A Gentle Introduction to Numerical Simulations with Python 3.6
Volume
Second Edition
Authors
Svein Linge
Hans Petter Langtangen
Publisher
Springer Open
Date
2020
Language
English
License
CC BY 4.0
ISBN
978-3-319-32428-9
Size
17.8 x 25.4 cm
Pages
356
Keywords
Programmiersprache, Informatik, programming language, functional, imperative, object-oriented, reflective
Category
Informatik
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Programming for Computations – Python