NoncentralStudentTDistribution (Built-in Mathematica Symbol)

NoncentralStudentTDistribution[\[Nu], \[Delta]] represents a noncentral Student t distribution with \[Nu] degrees of freedom and noncentrality parameter \[Delta].

RotationMatrix (Built-in Mathematica Symbol)

RotationMatrix[\[Theta]] gives the 2D rotation matrix that rotates 2D vectors counterclockwise by \[Theta] radians.RotationMatrix[\[Theta], w] gives the 3D rotation matrix ...

CUDAFinancialDerivative (CUDALink Symbol)

CUDAFinancialDerivative[instrument, params, ambientparams] gives the value of the specified financial instrument.CUDAFinancialDerivative[instrument, params, ambientparams, ...

Reference (Library Link Tutorial)

Wolfram LibraryLink allows dynamic libraries to be directly loaded into the Mathematica kernel so that functions in the libraries can be immediately called from Mathematica. ...

SparseArray (Built-in Mathematica Symbol)

SparseArray[{pos_1 -> val_1, pos_2 -> val_2, ...}] yields a sparse array in which values val_i appear at positions pos_i. SparseArray[{pos_1, pos_2, ...} -> {val_1, val_2, ...

DiscreteWaveletTransform (Built-in Mathematica Symbol)

DiscreteWaveletTransform[data] gives the discrete wavelet transform (DWT) of an array of data.DiscreteWaveletTransform[data, wave] gives the discrete wavelet transform using ...

CompleteGraph (Built-in Mathematica Symbol)

CompleteGraph[n] gives the complete graph with n vertices K_n.CompleteGraph[{n_1, n_2, ..., n_k}] gives the complete k-partite graph with n_1 + n_2 + \[CenterEllipsis] + n_k ...

KernelMixtureDistribution (Built-in Mathematica Symbol)

KernelMixtureDistribution[{x_1, x_2, ...}] represents a kernel mixture distribution based on the data values x_i.KernelMixtureDistribution[{{x_1, y_1, ...}, {x_2, y_2, ...}, ...

Launching and Connecting (Parallel Package Tutorial)

Mathematica can run parallel kernels in a number of different ways; locally on the same machine or remote on other machines connected in a network. Furthermore, the network ...

Remote Definitions (Parallel Package Tutorial)

Parallel kernels do not have access to the values of variables defined in the master kernel, nor do they have access to locally defined functions. Mathematica contains a ...