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PDF file that compares and contrasts five iterative methods for computing eigenvalues and eigenvectors.

This 2-page document gives a very concise treatment of the inverse of a linear transformation, followed by the inverse of a matrix.  It is one example of many from the author written in suppor

This web page provides a description of the Gram-Schmidt process for an inner product space, then gives an example in \(R^3\).  There is a link to a quiz page, but that may be intended for HMC

This web page allows users to enter a set of linearly independent vectors in \(R^n\)

This one-page document introduces five general \(n\)-x-\(n\) matrices, and asks students to find general formulas for the determinant, eigenvalues, and eigenvectors for each.  The matrices are

This is an article from The American Mathematical Monthly, Vol. 112, No. 4 (Apr., 2005), pp.

This web site serves at the homepage for a collection of web-based computational tools to do the following: perform row operations on a matrix, automatically transform a matrix for (reduced) echelo

This site has a collection of flash videos with audio on introductory linear algebra topics: dot product, matrix addition, matrix-vector product, matrix multiplication, method of elimination, reduc

A nice introduction to the singular value decomposition. Short paper starts with a geometric introduction to the SVD for a 2 x 2 matrix and then shows a number of more general applications.

These pages present a nice discussion of least squares and the pseudoinverse.