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Numerical analysis is the study of algorithms for the problems of continuous mathematics (as distinguished from discrete mathematics). Some of the problems it deals with arise directly from the study of calculus; other areas of interest are real variable or complex variable questions, numerical linear algebra over the real or complex fields, the solution of differential equations, and other related problems arising in the physical sciences and engineering.

General introduction


Many problems in continuous mathematics do not possess a closed-form solution. Examples are finding the integral of exp(−x2) (see error function) and solving a general polynomial equation of degree five or higher (see Abel-Ruffini theorem). In these situations, one has two options left: either one tries to find an approximate solution using asymptotic analysis or one seeks a numerical solution. The latter choice describes the field of numerical analysis.

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Domain Decomposition Organization - Bergen, Norway. Information about the annual international Domain Decomposition meeting, links to people working in the field and information about books and other material related to Domain Decomposition.

External Numerical Analysis Sources - Compiled by Nick Gould, Rutherford Appleton Laboratory.

Foundations of Computational Mathematics (FoCM) - A nonprofit organization that supports and promotes research on foundations of computational mathematics.

Holistic Numerical Methods Institute - A collection of resources on numerical methods aimed at undergraduates, maintained at the University of South Florida.

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Inverse Symbolic Calculator - Programs and specialized tables of mathematical constants dedicated to the identification of real numbers: a project at the Centre for Experimental and Constructive Mathematics.

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Numerical Methods for PDEs with Java Applets - Distance learning course dealing with finite differences / elements, Monte-Carlo, Fourier and Lagrangian methods for the advection, diffusion, wave, Schrodinger, Burger and KdV equations. The commercial version of a course taught to science and engineering students at the Royal Institute of Technology in Stockholm (Sweden).
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