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Numerical Python: Scientific Computing and Data Science Applications with Numpy, SciPy and Matplotlib
book

Numerical Python: Scientific Computing and Data Science Applications with Numpy, SciPy and Matplotlib

by Robert Johansson
September 2024
Intermediate to advanced content levelIntermediate to advanced
501 pages
17h 6m
English
Apress
Content preview from Numerical Python: Scientific Computing and Data Science Applications with Numpy, SciPy and Matplotlib
© The Author(s), under exclusive license to APress Media, LLC, part of Springer Nature 2024
R. JohanssonNumerical Pythonhttps://doi.org/10.1007/979-8-8688-0413-7_11

11. Partial Differential Equations

Robert Johansson1  
(1)
Urayasu-shi, Chiba, Japan
 

Partial differential equations (PDEs) are multivariate differential equations where derivatives of more than one dependent variable occur. That is, the derivatives in the equation are partial derivatives. They are generalizations of ordinary differential equations covered in Chapter 9. Conceptually, the difference between ordinary and partial differential equations is small, but the computational techniques required to deal with ODEs and PDEs are very different, and solving PDEs is typically much more ...

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Publisher Resources

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