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MLAB
Civilized Software Inc.
7735 Old Georgetown Rd. #410
Bethesda, MD 20814
(301)652-4714
csi@civilized.com
URL: http://www.civilized.com/

MLAB, (for Modeling LABoratory), is a program for interactive mathematical and statistical modeling. MLAB was originally developed at the National Institutes of Health. It includes curve-fitting, differential equations, statistics and graphics as some of its major capabilities.

MLAB provides more than thirty command types and more than four hundred built-in functions from the areas of elementary mathematics, transcendental functions, probability and statistics, linear algebra, optimization, cluster analysis, combinatorics, numeric input/output, and graphics. The usual low-level functions, e.g., sine, cosine, log, etc., are present, as well as functions performing more complex analyses, such as singular value decomposition, discrete Fourier transforms, solution of differential equation systems, and constrained non-linear optimization, among many others. A substantial collection of statistically-oriented functions, such as most common distribution functions and their inverses, are included.

(taken from http://www.civilized.com/MLAB.htmld/)

MLAB Applications:

algebraic models, autoregression models, boundary-value problems, cluster analysis, contour maps, curve-fitting, data manipulation, deconvolution, definite integrals, delay terms, descriptive statistics, differential equations, differential equation-defined models, distribution function estimation, eigenvalues, eigenvectors, Fourier transforms, function evaluation, histograms, implicit function models, initial-value problems, integration, least-squares minimization, linear regression, matrix algebra, modeling, multiple regression, non-linear regression, publication quality plotting, random numbers, rank values, recursive functions, rootfinding, singular value decomposition, smoothing, spline interpolation, stable sorting, stiff differential equations, summation, surface interpolation, symbolic differentiation, Voronoi diagrams, weighted curve fitting, weight estimation, 2D and 3D graphics, survival analysis, tests of hypothesis, power calculations, moving quantiles, convex hulls, minimal spanning trees.

Look at the citations for published reviews of the program.

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