Computational Mechanics

Numerical solutions to partial differential equations have wide application in many areas of physics, mechanics, engineering, and applied mathematics.  Learn different techniques for solving elliptic, parabolic and hyperbolic  equations, such as finite differences and finite volumes. Discuss possibilities and limitations of numerical techniques. Evaluate and comment on the stability and convergence of these numerical methods. Explore systems of partial differential equations and the Navier-Stokes equations. Use Python or MATLAB coding in weekly exercise sessions to numerically solve diffusion, convection and transport problems in multiple dimensions.

Prerequisites or Prior Knowledge

Students should have a general knowledge of partial differential equations. such as from the course B28.
A basic knowledge of Python, MATLAB or any other programming language is preferred but not essential.