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Eigensystem   (Built-in Mathematica Symbol)
Eigensystem[m] gives a list {values, vectors} of the eigenvalues and eigenvectors of the square matrix m. Eigensystem[{m, a}] gives the generalized eigenvalues and ...
RandomVariate   (Built-in Mathematica Symbol)
RandomVariate[dist] gives a pseudorandom variate from the symbolic distribution dist.RandomVariate[dist, n] gives a list of n pseudorandom variates from the symbolic ...
Delay Differential Equations   (Mathematica Tutorial)
A delay differential equation is a differential equation where the time derivatives at the current time depend on the solution and possibly its derivatives at previous times: ...
TraditionalForm Reference Information   (Mathematica Tutorial)
TraditionalForm differs from StandardForm, the default format for input and output. It is important to understand that TraditionalForm expressions cannot always be provided ...
Make the Fonts Bigger in My Notebook   (Mathematica How To)
Mathematica allows you to control font sizes of text, math, and graphics for clarity, compactness, or personal preference. You can choose styles for individual characters, ...
EdgeRenderingFunction   (Built-in Mathematica Symbol)
EdgeRenderingFunction is an option for GraphPlot and related functions that gives a function to generate the graphics primitives to use in rendering each edge.
VertexRenderingFunction   (Built-in Mathematica Symbol)
VertexRenderingFunction is an option for GraphPlot and related functions that gives a function to generate the graphics primitives to use in rendering each vertex.
Histogram3D   (Built-in Mathematica Symbol)
Histogram3D[{{x_1, y_1}, {x_2, y_2}, ...}] plots a 3D histogram of the values {x_i, y_i}.Histogram3D[{{x_1, y_1}, {x_2, y_2}, ...}, bspec] plots a 3D histogram with bins ...
XML Reference   (GUIKit Package Tutorial)
This tutorial documents the XML representation of the user interface definition, GUIKitXML for short. This is a DTD representing the current GUIKit XML definitions. Use the ...
Sum   (Built-in Mathematica Symbol)
Sum[f, {i, i_max}] evaluates the sum \[Sum]i = 1 i_max f. Sum[f, {i, i_min, i_max}] starts with i = i_min. Sum[f, {i, i_min, i_max, di}] uses steps d i. Sum[f, {i, {i_1, i_2, ...
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