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Density and Contour Plots   (Mathematica Tutorial)
Density and contour plots. This gives a density plot of sin(x) sin(y). Lighter regions show higher values of the function. Some options for DensityPlot.
The solutions to many second-order ODEs can be expressed in terms of special functions. Solutions to certain higher-order ODEs can also be expressed using AiryAi, BesselJ, ...
Nonlinear Second-Order ODEs   (Mathematica Tutorial)
The general form of a nonlinear second-order ODE is For simplicity, assume that the equation can be solved for the highest-order derivative y^ ′′(x) to give There are a few ...
References   (Mathematica Tutorial)
[AB04] Abell, M. L. and J. P. Braselton. Differential Equations with Mathematica. (3rd ed.) Elsevier Academic Press, 2004. [A89] Abramov, S. A. "Rational Solutions of Linear ...
Labeling Two-Dimensional Graphics   (Mathematica Tutorial)
Ways to label two-dimensional plots. Here is a plot, using the default Axes->True. Setting Frame->True generates a frame with axes, and removes tick marks from the ordinary ...
Working with Special Functions   (Mathematica Tutorial)
Some common operations on special functions. Most special functions have simpler forms when given certain specific arguments. Mathematica will automatically simplify special ...
Reference   (TetGenLink Tutorial)
TetGen is created by Hang Si, Research Group: Numerical Mathematics and Scientific Computing, Weierstrass Institute for Applied Analysis and Stochastics (WIAS), Berlin. More ...
GraphDistanceMatrix   (Graph Utilities Package Symbol)
GraphDistanceMatrix[g] gives a matrix in which the (i, j)\[Null]^th entry is the length of a shortest path in g between vertices i and j.GraphDistanceMatrix[g, Parent] ...
CramerVonMisesTest   (Built-in Mathematica Symbol)
CramerVonMisesTest[data] tests whether data is normally distributed using the Cramér\[Dash]von Mises test.CramerVonMisesTest[data, dist] tests whether data is distributed ...
MatrixExp   (Built-in Mathematica Symbol)
MatrixExp[m] gives the matrix exponential of m. MatrixExp[m, v] gives the matrix exponential of m applied to the vector v.
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