Mathematics and Statistics

Mathematics and Statistics

MATH252-10S2 (C)

Matrix Algebra 2

This is a second semester course worth 11 points.

Message of the Day

Posted by Rick Beatson on November 9 2010, 4:54 pm

An additional pre exam consultancy

   Wednesday 10 November 4:10-5:00pm room 615

In the exam you are allowed one A4 sheet of useful stuff

  handwritten    single sided

You ARE NOT allowed a calculator

The last 3 years of exams and solutions are posted on the website.
The tutorials and solutions also provide useful review problems.



Good luck with all your exams

Course Information

The eigenvalue problem for linear operators is of fundamental importance for the application of linear algebra in science. This course provides a basic understanding of eigenvalues and eigenvectors. Both the mathematical background and (some of) the multifarious applications, e.g. recursive sequences, differential equations, stability and resonances, are discussed at length. Also, computing eigenvalues and eigenvectors is a central topic in numerical linear algebra. Accordingly, state-of-the-art algorithms for this purpose are presented. The computer package MATLAB may be used at times.

This course gives a sound and hands-on introduction to an all-important topic in applied linear algebra. It is the ideal continuation of MATH251.

Class Representative

Text

Poole, Linear Algebra: A Modern Introduction, Brooks/Cole.

Enquiries

Assoc. Prof. Rick Beatson
Room 602 Erskine Building
Phone Extension 3825
Homepage