This tutorial shows a number of examples of the use of Mathematica for computations that involve linear algebra. Certain sparse matrix techniques try to reorder the matrix so ...

Introduction Matrix and Tensor Operations Working with Sparse Arrays

This tutorial reviews the functions that Mathematica provides for building and working with matrices, vectors, and tensors. It focuses on functions that are specific to ...

This tutorial reviews the functions that Mathematica provides for carrying out matrix computations. Further information on these functions can be found in standard ...

Matrices in Mathematica can be constructed from all the different types of objects that Mathematica holds. They can contain machine-precision real and complex floating-point ...

This tutorial covers issues related to performance. One of the challenges of building Mathematica is to make sure that the system is general enough to support symbolic ...

Sparse representations of matrices are useful because they do not store every element. If one particular value appears very frequently it can be very advantageous to use a ...