Mathematica - Linear Algebra etc.

This course is in two parts, which vary very considerably in difficulty.

The first part covers Mathematica's basic matrix facilities, plus linear
algebra etc. using *real* and *complex* matrices. This is
fairly straightforward, and describes how to use Mathematica in the way
that other people use Matlab.

#### The slides for the basic course:

#### The example input, suitable for cut-and-paste:

#### Input files used in examples:

The second part covers linear algebra with symbolic matrices, and its debugging and tuning. It shows how to get first- and second-order approximations to problems, with the variations in the input being in the form of unknown variables. This enables what is often called perturbation analysis or sensitivity analysis.

People who want to do comparable work with other numerical methods (such as PDEs, ODEs or optimisation) will also find it relevant, as the techniques the course covers apply to those as well.

This sort of work is never easy, though it is

#### The slides for the advanced course:

#### The example input, suitable for cut-and-paste:

#### A directory containing realistic, working code:

The title of this document is:
Mathematica - Linear Algebra etc.

URL:
http://www-uxsup.csx.cam.ac.uk/courses/moved.Mathematica_numerics/index.html