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 ...
Panel
(Built-in Mathematica Symbol) Panel[expr] displays as a panel containing expr. Panel[expr, title] gives the panel the specified title. Panel[expr, title, pos] places title at a position specified by pos. ...
ParetoDistribution[k, \[Alpha]] represents a Pareto distribution with minimum value parameter k and shape parameter \[Alpha].ParetoDistribution[k, \[Alpha], \[Mu]] represents ...
To begin, consider an initial value problem for a linear first-order ODE. This is a linear first-order ODE. Notice that the general solution is a linear function of the ...
ContourPlot[f, {x, x_min, x_max}, {y, y_min, y_max}] generates a contour plot of f as a function of x and y. ContourPlot[f == g, {x, x_min, x_max}, {y, y_min, y_max}] plots ...
StreamDensityPlot[{{v_x, v_y}, s}, {x, x_min, x_max}, {y, y_min, y_max}] generates a stream plot of the vector field {v_x, v_y} as a function of x and y, superimposed on a ...
PearsonDistribution[a_1, a_0, b_2, b_1, b_0] represents a distribution of the Pearson family with parameters a_1, a_0, b_2, b_1, and b_0.PearsonDistribution[type, a_1, a_0, ...
A body that absorbs all radiation incident on it is called an ideal black body. This package provides functions giving the basic properties of black-body radiation at a ...
NFourierTransform[expr, t, \[Omega]] gives a numerical approximation to the Fourier transform of expr evaluated at the numerical value \[Omega], where expr is a function of t.
Animations can convey much more information than static displays. The built-in Mathematica functions Animate and ListAnimate provide an immediate way to construct animations ...