When fitting models to data, it is often useful to analyze how well the model fits the data and how well the fitting meets the assumptions of the model. For a number of ...
The introduction of Mathematica 6 in 2007 represented a revolutionary redefinition of Mathematica. Arriving only 18 months after Mathematica 6, Mathematica 7 represents ...
[AP91] Ascher, U. and L. Petzold. "Projected Implicit Runge–Kutta Methods for Differential Algebraic Equations." SIAM J. Numer. Anal. 28 (1991): 1097–1120. [AP98] Ascher, U. ...
LinearModelFit[{y_1, y_2, ...}, {f_1, f_2, ...}, x] constructs a linear model of the form \[Beta]_0 + \[Beta]_1 f_1 + \[Beta]_2 f_2 + ... that fits the y_i for successive x ...
LeveneTest[data] tests whether the variance of data is 1. LeveneTest[{data_1, data_2}] tests whether the variances of data_1 and data_2 are equal.LeveneTest[dspec, ...
In some cases it is useful to split the differential system into subsystems and solve each subsystem using appropriate integration methods. Recombining the individual ...
NSeries
(Numerical Calculus Package Symbol) NSeries[f, {x, x_0, n}] gives a numerical approximation to the series expansion of f about the point x = x_0 including the terms (x - x_0) -n through (x - x_0) n.
Mathematica 6.0 fundamentally redefined Mathematica and introduced a major new paradigm for computation. Building on Mathematica's time-tested core symbolic architecture, ...
It is often useful to be able to detect and precisely locate a change in a differential system. For example, with the detection of a singularity or state change, the ...
CUDA is a general C-like programming developed by NVIDIA to program Graphical Processing Units (GPUs). CUDALink provides an easy interface to program the GPU by removing many ...