Lecturer: Markus Kirkilionis
Term(s): Term 2 (weeks 15-19)
Status for Mathematics students: List A for Maths
Commitment: 15 lectures and 3 computing assignments.
Assessment: By marks from the computing assignments
Leads To: MA3H0 Numerical Analysis and PDEs.
Content: This module focuses on basic numerical methods for problems arising in mathematics and physics. The important concepts of iteration, convergence, accuracy and stability will be covered. Through implementation of computer algorithms, techniques studied will include Lagrange interpolation, Gaussian quadrature and solving ordinary differential equations by the Runge-Kutta method.
Aims: To introduce the approximation techniques used in tackling mathematical problems which do not yield to exact forms of analysis.
Books: Richard L. Burden and J. Douglas Faires, Numerical Analysis, 8th edition, Brooks-Cole Publishing (2004).