MATH46101/MATH66101 Numerical Linear Algebra 2021/2022

Announcements

MATLAB

Background on MATLAB for those wishing to know more. MSc students: see also the introductory lectures you received about MATLAB.

LaTeX

I encourage you to typeset the assignment in LaTeX. Some useful links:

Further Reading: “What Is” Articles

My What Is series of articles of which the most relevant ones for this course are collected on this page are useful further reading. They cover many of the topics in this course.

Further Reading: Other Articles

The following articles are also worth consulting.

Textbooks

The following list comprises a subset of the textbooks on the syllabus that are available electronically (e-books). Note that you must be either on campus or logged in via VPN in order to access SIAM e-books.

  • Timothy A. Davis. Direct Methods for Sparse Linear Systems, Society for Industrial and Applied Mathematics, Philadelphia, PA, USA, 2006. ISBN 0-89871-613-6. xii+217 pp. E-book at SIAM
  • James W. Demmel. Applied Numerical Linear Algebra. Society for Industrial and Applied Mathematics, Philadelphia, PA, USA, 1997. ISBN 0-89871-389-7. xi+419 pp. E-book at SIAM.
  • Desmond J. Higham and Nicholas J. Higham. MATLAB Guide, Third edition, 2017. Society for Industrial and Applied Mathematics, Philadelphia, PA, USA, 2000. ISBN 0-89871-469-9. E-book at SIAM (second edition).
  • Nicholas J. Higham. Accuracy and Stability of Numerical Algorithms. Society for Industrial and Applied Mathematics, Philadelphia, PA, USA, second edition, 2002. ISBN 0-89871-521-0. xxx+680 pp. E-book at SIAM.
  • Yousef Saad. Iterative Methods for Sparse Linear System}. Society for Industrial and Applied Mathematics, Philadelphia, PA, USA, second edition, 2003. ISBN 0-89871-534-2. xviii+528 pp. E-book at SIAM.
  • G. W. Stewart. Matrix Algorithms. Volume I: Basic Decompositions. Society for Industrial and Applied Mathematics, Philadelphia, PA, USA, 2001. ISBN 0-89871-503-2. xix+469 pp. E-book at SIAM.
  • G. W. Stewart. Matrix Algorithms. Volume II: Eigensystems. Society for Industrial and Applied Mathematics, Philadelphia, PA, USA, 2001. ISBN 0-89871-503-2. xix+469 pp. E-book at SIAM.

Other Links

Some of these were mentioned in the lectures.

Examination

The exam format will be the same as last year and earlier years, with a Section A (answer all questions) and a Section B (answer two questions out of three). Note that if more than two questions from Section B are attempted, credit will be given for the first two answers. If you don’t want a question to be marked you must cross it out.

The three most recent (non pandemic year) examinations and feedback on them is available here:

Twitter

Some relevant Twitter feeds are:

If you know of any other feeds relevant to this course, please let us know.