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.