Returns information describing the computer's floating-point arithmetic.

Returns integer information describing the computer's arithmetic.

Computes the transpose of a matrix, a matrix-vector product, a matrix-matrix product, a bilinear form, or any triple product.

Exact maximum likelihood estimation of the parameters in a univariate ARMA (autoregressive, moving average) time series model.

Calculates maximum likelihood estimates for the parameters of one of several univariate probability distributions.

Trains a multilayered feedforward neural network for classification.

Initializes weights for multilayered feedforward neural networks prior to network training using one of four user selected methods.

Creates a multilayered feedforward neural network.

Calculates forecasts for trained multilayered feedforward neural networks.

Frees memory allocated for an Imsls_f_NN_Network data structure.

Initializes a data structure for training a neural network.

Retrieves a neural network from a file previously saved.

Trains a multilayered feedforward neural network.

Writes a trained neural network to an ASCII file.

Calculates classifications for trained multilayered feedforward neural networks.

Computes the multichannel cross-correlation function of two mutually stationary multichannel time series.

Performs Student-Newman-Keuls multiple comparisons test.

Computes Mardia’s multivariate measures of skewness and kurtosis and tests for multivariate normality.

Computes the cumulative distribution function for the multivariate normal distribution.