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When you make a definition in the form f[args]=rhs or f[args]:=rhs, Mathematica associates your definition with the object f. This means, for example, that such definitions ...
FindArgMax   (Built-in Mathematica Symbol)
FindArgMax[f, x] gives the position x_max of a local maximum of f.FindArgMax[f, {x, x_0}] gives the position x_max of a local maximum of f, found by a search starting from ...
FindMaxValue   (Built-in Mathematica Symbol)
FindMaxValue[f, x] gives the value at a local maximum of f.FindMaxValue[f, {x, x_0}] gives the value at a local maximum of f, found by a search starting from the point x = ...
FindMinValue   (Built-in Mathematica Symbol)
FindMinValue[f, x] gives the value at a local minimum of f.FindMinValue[f, {x, x_0}] gives the value at a local minimum of f, found by a search starting from the point x = ...
MLPutByteArray()   (Mathematica MathLink C Function)
int MLPutByteArray (MLINK link, unsigned char *a, int *dims, char ** heads, int d) puts an array of integers in the range 0\[Dash]255 to the MathLink connection specified by ...
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 ...
StationaryWaveletTransform   (Built-in Mathematica Symbol)
StationaryWaveletTransform[data] gives the stationary wavelet transform (SWT) of an array of data.StationaryWaveletTransform[data, wave] gives the stationary wavelet ...
MLTransferExpression()   (Mathematica MathLink C Function)
int MLTransferExpression (MLINK dst, MLINK src) transfers an expression to destination link dst from source link src.
Configuring the Compilation   (C Compiler Driver Package Tutorial)
The CCompilerDriver package lets you work with C compilers that are installed on your computer. It lets you build executables, libraries, and object files from C source code. ...
Statistics`NonlinearFit`   (Mathematica Compatibility Information)
NonlinearFit is replaced by FindFit. NonlinearRegress functionality is now available using the built-in function NonlinearModelFit.
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