MA6606 Computational Linear Algebra

Course Aims & Objectives:
To develop a mathematical understanding of the numerical methods in linear algebra.

Units: 3

Level: P6

Medium of Instruction: English

Keyword Syllabus:
Matrix analysis. Linear systems of equations. Condition number and backward stability analysis. Orthogonalization and least squares. Matrix eigenvalue problems and singular value decomposition. Conjugate gradient and related iterative methods for linear systems. Lanczos and Arnoldi methods for eigenvalue problems.


Teaching Pattern:

Duration of course: 1 Semester
Suggested lecture/tutorial/laboratory mix: 3 hrs lecture

Assessment Pattern:
Examination duration: 3 hours
Percentage distribution of marks for coursework, examination, other: 40% Coursework; 60% Examination
Grading pattern: Standard (A+AA-...F)

Pre-requisite(s): Nil

Pre-cursor(s): Nil

Equivalent Course(s): Nil

Related Links
Department of Mathematics