As discussed in "Exact and Approximate Results", Mathematica can handle approximate real numbers with any number of digits. In general, the precision of an approximate real ...
Basic two-dimensional graphics elements. Here is a line primitive. This shows the line as a two-dimensional graphics object.
"Gauss–Newton" and "conjugate gradient" methods use derivatives. When Mathematica cannot compute symbolic derivatives, finite differences will be used. Computing derivatives ...
OpenSQLConnection[src] makes a connection to a data source.OpenSQLConnection[] opens a GUI that helps to make a connection to a data source.
ListStreamDensityPlot[array] generates a stream density plot from a 2D array of vector and scalar field values {{vx_ij, vy_ij}, s_ij}. ListStreamDensityPlot[{{{x_1, y_1}, ...
ListStreamPlot[array] generates a stream plot from an array of vector field values.ListStreamPlot[{{{x_1, y_1}, {vx_1, vy_1}}, ...}] generates a stream plot from vector field ...
ListVectorPlot[array] generates a vector plot from an array of vector field values.ListVectorPlot[{{{x_1, y_1}, {vx_1, vy_1}}, ...}] generates a vector plot from vector field ...
DifferenceDelta[f, i] gives the discrete difference \[DifferenceDelta]_i f = f(i + 1) - f(i).DifferenceDelta[f, {i, n}] gives the multiple difference DifferenceDelta[f, {i, ...
CPreprocessorIfdef[cond] is a symbolic representation of a preprocessor ifdef conditional.CPreprocessorIfdef[cond, true, false] represents the true and false cases.
$GUIPath lists the directories searched in attempting to find interface files.