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Probability & Statistics   (Mathematica Guide)
Probability and statistics are used to model uncertainty from a variety of sources, such as incomplete or simplified models. Yet you can build useful models for aggregate or ...
Minimization and Maximization   (Mathematica Tutorial)
Minimization and maximization. Minimize and Maximize yield lists giving the value attained at the minimum or maximum, together with rules specifying where the minimum or ...
ListStreamDensityPlot   (Built-in Mathematica Symbol)
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}, ...
The MathLink library contains an extensive collection of C functions that allow arbitrary data and structure to be exchanged with Mathematica, and provide detailed control of ...
KelvinBer   (Built-in Mathematica Symbol)
KelvinBer[z] gives the Kelvin function ber(z).KelvinBer[n, z] gives the Kelvin function ber_n (z).
Patterns   (Mathematica Overview)
Introduction Finding Expressions That Match a Pattern Naming Pieces of Patterns
ListLineIntegralConvolutionPlot   (Built-in Mathematica Symbol)
ListLineIntegralConvolutionPlot[{array, image}] generates a line integral convolution plot of image convolved with the vector field defined by an array of vector field ...
 
Maximize   (Built-in Mathematica Symbol)
Maximize[f, x] maximizes f with respect to x.Maximize[f, {x, y, ...}] maximizes f with respect to x, y, .... Maximize[{f, cons}, {x, y, ...}] maximizes f subject to the ...
MinValue   (Built-in Mathematica Symbol)
MinValue[f, x] gives the minimum value of f with respect to x.MinValue[f, {x, y, ...}] gives the minimum value of f with respect to x, y, .... MinValue[{f, cons}, {x, y, ...
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