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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.
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