ListContourPlot (Built-in Mathematica Symbol)

ListContourPlot[array] generates a contour plot from an array of height values. ListContourPlot[{{x_1, y_1, f_1}, {x_2, y_2, f_2}, ...}] generates a contour plot from values ...

ListDensityPlot (Built-in Mathematica Symbol)

ListDensityPlot[array] generates a smooth density plot from an array of values. ListDensityPlot[{{x_1, y_1, f_1}, {x_2, y_2, f_2}, ...}] generates a density plot with values ...

Perform a Monte Carlo Simulation (Mathematica How To)

Monte Carlo methods use randomly generated numbers or events to simulate random processes and estimate complicated results. For example, they are used to model financial ...

Norm (Built-in Mathematica Symbol)

Norm[expr] gives the norm of a number, vector or matrix. Norm[expr, p] gives the p-norm.

DesignMatrix (Built-in Mathematica Symbol)

DesignMatrix[{{x_11, x_12, ..., y_1}, {x_21, x_22, ..., y_2}, ...}, {f_1, f_2, ...}, {x_1, x_2, ...}] constructs the design matrix for the linear model \[Beta]_0 + \[Beta]_1 ...

ListPlot3D (Built-in Mathematica Symbol)

ListPlot3D[array] generates a three-dimensional plot of a surface representing an array of height values. ListPlot3D[{{x_1, y_1, z_1}, {x_2, y_2, z_2}, ...}] generates a plot ...

ConfidenceLevel (Built-in Mathematica Symbol)

ConfidenceLevel is an option for LinearModelFit and other fitting functions that specifies the confidence level to use in generating parameter and prediction intervals.

RandomComplex (Built-in Mathematica Symbol)

RandomComplex[] gives a pseudorandom complex number with real and imaginary parts in the range 0 to 1.RandomComplex[{z_min, z_max}] gives a pseudorandom complex number in the ...

Standardize (Built-in Mathematica Symbol)

Standardize[list] shifts and rescales the elements of list to have zero mean and unit sample variance.Standardize[list, f_1] shifts the elements in list by f_1[list] and ...

ChartLayout (Built-in Mathematica Symbol)

ChartLayout is an option to charting functions which specifies the overall layout to use.