Learn numerical linear algebra with these popular and useful books. Find out what topics they cover, what level they are for, and what features they offer. Agree & Join LinkedIn ...

Ford, W. (2015) Numerical Linear Algebra with Applications: Using MATLAB. Academic Press, London. has been cited by the following article: TITLE: Carleman Linearization and Systems of Arbitrary Depth ...

Another benefit of using sparse matrices is that they can speed up some numerical linear algebra operations, such as solving linear systems, eigenvalue problems, or singular value decomposition.

This is in the flavour of MatLab. For those interested in using linear algebra in a symbolic setting, or for working with matrices over the integers or rational numbers (not float point numbers) ...

The set consists of 5 questions, with a focus on MATLAB coding tasks. Topics include solving linear systems and matrix inverses, understanding the Thomas Algorithm for tridiagonal systems, and ...

A collection of math routines for use in Java (primarily vector/matrix/linear algebra). Intentionally mimics some of Matlab's naming conventions. I don't use Java nearly as much as I used to so I ...