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Numerical partial differential equations is the branch of numerical analysis that studies the numerical solution of partial differential equations (PDEs).## See also

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Numerical techniques for solving PDEs include the following:

- The finite difference method, in which functions are represented by their values at certain grid points and derivatives are approximated through differences in these values.
- The method of lines, where all but one variable is discretized. The result is a system of ODEs in the remaining continuous variable.
- The finite element method, where functions are represented in terms of basis functions and the PDE is solved in its integral (weak) form.
- The finite volume method, which divides space into regions or volumes and computes the change within each volume by considering the flux (flow rate) across the surfaces of the volume.
- The spectral method, which represents functions as a sum of particular basis functions, for example using a Fourier series.
- Meshfree methods don't need a grid to work and so may be better suited for some problems. However the computational effort is usually higher.

The finite difference method is often regarded as the simplest method to learn and use. The finite element and finite volume methods are widely used in engineering and in computational fluid dynamics, and are well suited to problems in complicated geometries. Spectral methods are generally the most accurate, provided that the solutions are sufficiently smooth.

- Numerical Methods for Partial Differential Equations course at MIT OpenCourseWare.
- IMS, the Open Source IMTEK Mathematica Supplement (IMS)

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Last updated on Tuesday September 30, 2008 at 08:32:30 PDT (GMT -0700)

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Last updated on Tuesday September 30, 2008 at 08:32:30 PDT (GMT -0700)

View this article at Wikipedia.org - Edit this article at Wikipedia.org - Donate to the Wikimedia Foundation

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