Online resources

An Introduction to the Conjugate Gradient Method Without the Agonizing Pain by Jonathan Richard Shewchuk

Books on sparse linear systems and large eigenvalue problems by Yousef Saad

Lecture notes on iterative methods and large eigenvalue problems by Henk van der Vorst

Templates for the Solution of Linear Systems: Building Blocks for Iterative Methods

Templates for the Solution of Algebraic Eigenvalue Problems: a Practical Guide

Numerical Computing with MATLAB Textbook by Cleve Moler

Lecture Notes and other resources by Professor Kendall Atkinson (University of Iowa)

Numerical Analysis - Numerical Methods Project by Prof. John H. Mathews (California State Univ. Fullerton)

Significant figures. Suggestions to Authors of the Reports of the United States Geological Survey

Notes, Presentations, Simulations in Maple, Mathcad, Matlab, Mathematica, and Self-Assessment Tests at Holistic Numerical Methods Institute, University of South Florida and National Science Foundation.