# B6.2 Numerical Solution of Differential Equations II (2019-2020)

## Primary tabs

2019-2020
Lecturer(s):
Prof. Andrew Wathen
General Prerequisites:

Part A Differential Equations 1. B5.2 Applied Partial Differential Equations is desirable but not essential.

Course Term:
Hilary
Course Lecture Information:

16 lectures

Course Weight:
1.00 unit(s)
Course Level:
H

### Assessment type:

Course Overview:

To introduce and give an understanding of numerical methods for the solution of hyperbolic and elliptic partial differential equations, including their derivation, analysis and applicability.

Learning Outcomes:

At the end of the course the student will be able to:

1. construct practical methods for the numerical solution of boundary-value problems arising from ordinary differential equations and elliptic partial differential equations; analysis of the stability, accuracy, and uniqueness properties of these methods,
2. construct methods for the numerical solution of initial-boundary-value problems for first- and second-order hyperbolic partial differential equations, and to analyse their stability and accuracy properties.
Course Synopsis:

The course is devoted to the development and analysis of numerical solutions of boundary value problems for second-order ordinary differential equations, boundary-value problems for second-order elliptic partial differential equations, and initial-boundary-value problems for first- and second-order hyperbolic partial differential equations. The course begins by considering classical techniques for the numerical solution of boundary-value problems for second-order ordinary differential equations and elliptic boundary-value equations, in particular the Poisson equation in two dimensions. Topics include: discretisations (e.g., finite difference, finite element, and spectral methods), error and convergence analysis, and the use of maximum principles. The remaining lectures focus on the numerical solution of initial-boundary-value problems for hyperbolic partial differential equations with topics such as: discretisations (e.g., finite difference and finite volume), method of lines, accuracy, stability (including CFL condition) and convergence, limiters, total variation, WENO schemes and energy methods.