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Mathematica 8 adds a number of new areas for visualization, including statistical, financial, wavelet, and control-related visualizations. These areas all provide a high ...
ScalingFunctions   (Built-in Mathematica Symbol)
ScalingFunctions is an option for BarChart, Histogram, and other charting functions that specifies what scaling functions should be used.
Cone   (Built-in Mathematica Symbol)
Cone[{{x_1, y_1, z_1}, {x_2, y_2, z_2}}, r] represents a cone with a base of radius r centered at (x_1, y_1, z_1) and a tip at (x_2, y_2, z_2). Cone[{{x_1, y_1, z_1}, {x_2, ...
Cylinder   (Built-in Mathematica Symbol)
Cylinder[{{x_1, y_1, z_1}, {x_2, y_2, z_2}}, r] represents a cylinder of radius r around the line from (x_1, y_1, z_1) to (x_2, y_2, z_2). Cylinder[{{x_1, y_1, z_1}, {x_2, ...
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 ...
HistogramList   (Built-in Mathematica Symbol)
HistogramList[{x_1, x_2, ...}] gives a list of bins and histogram heights of the values x_i.HistogramList[{{x_1, y_1, ...}, {x_2, y_2, ...}, ...}] gives a list of bins and ...
SurvivalFunction   (Built-in Mathematica Symbol)
SurvivalFunction[dist, x] gives the survival function for the symbolic distribution dist evaluated at x.SurvivalFunction[dist, {x_1, x_2, ...}] gives the multivariate ...
New in 7.0: Alphabetical Listing   (Mathematica Guide)
The release of Mathematica 6 in May 2007 represented a revolution in the development of Mathematica. Building on this revolution, Mathematica 7 not only greatly broadens and ...
SmoothHistogram3D   (Built-in Mathematica Symbol)
SmoothHistogram3D[{{x_1, y_1}, {x_2, y_2}, ...}] plots a 3D smooth kernel histogram of the values {x_i, y_i}.SmoothHistogram3D[{{x_1, y_1}, {x_2, y_2}, ...}, espec] plots a ...
CDF   (Built-in Mathematica Symbol)
CDF[dist, x] gives the cumulative distribution function for the symbolic distribution dist evaluated at x.CDF[dist, {x_1, x_2, ...}] gives the multivariate cumulative ...
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