SetEdgeWeights (Combinatorica Package Symbol)

SetEdgeWeights[g] assigns random real weights in the range [0, 1] to edges in g. SetEdgeWeights[g, e] assigns edge weights to the edges in the edge list e. SetEdgeWeights[g, ...

MLPutRealArray() (Mathematica MathLink C Function)

int MLPutRealArray (MLINK link, double *a, long *dims, char ** heads, long d) puts an array of floating-point numbers to the MathLink connection specified by link to form a ...

MLPutNext() (Mathematica MathLink C Function)

int MLPutNext (MLINK link, int type) prepares to put an object of the specified type on link.

NDTFourierTransform (Fourier Series Package Symbol)

NDTFourierTransform[expr, n, \[Omega]] gives a numerical approximation to the discrete time Fourier transform of expr evaluated at the numerical value \[Omega], where expr is ...

NFourierCosTransform (Fourier Series Package Symbol)

NFourierCosTransform[expr, t, \[Omega]] gives a numerical approximation to the Fourier cosine transform of expr evaluated at the numerical value \[Omega], where expr is a ...

NFourierSinTransform (Fourier Series Package Symbol)

NFourierSinTransform[expr, t, \[Omega]] gives a numerical approximation to the Fourier sine transform of expr evaluated at the numerical value \[Omega], where expr is a ...

NInverseFourierCosTransform (Fourier Series Package Symbol)

NInverseFourierCosTransform[expr, \[Omega], t] gives a numerical approximation to the inverse Fourier cosine transform of expr evaluated at the numerical value t, where expr ...

NInverseFourierSinTransform (Fourier Series Package Symbol)

NInverseFourierSinTransform[expr, \[Omega], t] gives a numerical approximation to the inverse Fourier sine transform of expr evaluated at the numerical value t, where expr is ...

XMLGetString (XML Package Symbol)

XMLGetString["data"] returns the XML expression tree corresponding to a string.XMLGetString["data", parser] uses the pre-initialized XMLParser object to parse the string.

Perform Operations on Subgroups of Data (Mathematica How To)

When summarizing data, it is often useful to analyze it by subgroup. For example, crop yields could be categorized by seed variety, or average patient recovery time by ...