Mathematica is a large and complex software system. Although strongly not supported for production purposes, it is sometimes instructive to "spelunk" in the system, looking ...
In Mathematica's unified symbolic architecture, every Mathematica notebook you see is represented as a symbolic expression that can be manipulated and controlled ...
Low-level functions for converting between expressions and boxes. MakeBoxes generates boxes without evaluating its input. MakeExpression interprets boxes but uses ...
Files and pipes are both examples of general Mathematica objects known as streams. A stream in Mathematica is a source of input or output. There are many operations that you ...
Depth
(Built-in Mathematica Symbol) Depth[expr] gives the maximum number of indices needed to specify any part of expr, plus 1.
Notebook[{cell_1, cell_2, ...}] is the low-level construct that represents a notebook manipulated by the Mathematica front end.
ChanVeseBinarize[image] finds a two-level segmentation of image by computing optimal contours around regions of consistent intensity in image.ChanVeseBinarize[image, marker] ...
SignificanceLevel is an option to VarianceTest and similar functions that controls cutoffs for diagnostic tests as well as test conclusions.
ConfidenceLevel is an option for LinearModelFit and other fitting functions that specifies the confidence level to use in generating parameter and prediction intervals.
ContourPlot3D[f, {x, x_min, x_max}, {y, y_min, y_max}, {z, z_min, z_max}] produces a three-dimensional contour plot of f as a function of x, y, and z. ContourPlot3D[f == g, ...