Abstract
Partial differential equations (PDEs) are multivariate different equations where derivatives of more than one dependent variable occur. That is, the derivatives in the equation are partial derivatives. As such they are generalizations of ordinary differentials equations, which were covered in Chapter 9. Conceptually, the difference between ordinary and partial differential equations is not that big, but the computational techniques required to deal with ODEs and PDEs are very different, and solving PDEs is typically much more computationally demanding. Most techniques for solving PDEs numerically are based on the idea of discretizing the problem in each independent variable that occurs in the PDE, and thereby recasting the problem into an algebraic form. This usually results in very large-scale linear algebra problems. Two common techniques for recasting PDEs into algebraic form is the finite-difference methods (FDMs), where the derivatives in the problem are approximated with their finite-difference formula; and the finite-element methods (FEMs), where the unknown function is written as linear combination of simple basis functions that can be differentiated and integrated easily. The unknown function is described by a set of coefficients for the basis functions in this representation, and by a suitable rewriting of the PDEs we can obtain algebraic equations for these coefficients.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Notes
Author information
Authors and Affiliations
Rights and permissions
Copyright information
© 2015 Robert Johansson
About this chapter
Cite this chapter
Johansson, R. (2015). Partial Differential Equations. In: Numerical Python. Apress, Berkeley, CA. https://doi.org/10.1007/978-1-4842-0553-2_11
Download citation
DOI: https://doi.org/10.1007/978-1-4842-0553-2_11
Published:
Publisher Name: Apress, Berkeley, CA
Print ISBN: 978-1-4842-0554-9
Online ISBN: 978-1-4842-0553-2
eBook Packages: Professional and Applied ComputingApress Access BooksProfessional and Applied Computing (R0)