| Function |
Purpose
Statement |
| Utilities |
Returns information
describing the
computer’s
floating-point
arithmetic. |
| iMachine |
Returns integer
information
describing the
computer’s
arithmetic. |
| matMulRect |
Computes the
transpose of a
matrix, a
matrix-vector
product, a
matrix-matrix
product, a bilinear
form, or any triple
product. |
| maxArma |
Exact maximum
likelihood
estimation of the
parameters in a
univariate ARMA
(autoregressive,
moving average) time
series model. |
| maxLikelihoodEstimates |
Calculates maximum
likelihood estimates
for the parameters
of one of several
univariate
probability
distributions. |
| mlffClassificationTrainer |
Trains a
multilayered
feedforward neural
network for
classification. |
| mlffInitializeWeights |
Initializes weights
for multilayered
feedforward neural
networks prior to
network training
using one of four
user selected
methods. |
| mlffNetwork |
Creates a
multilayered
feedforward neural
network. |
| mlffNetworkForecast |
Calculates forecasts
for trained
multilayered
feedforward neural
networks. |
| mlffNetworkFree |
Frees memory
allocated for an
Imsls_d_NN_Network
data structure. |
| mlffNetworkInit |
Initializes a data
structure for
training a neural
network. |
| mlffNetworkRead |
Retrieves a neural
network from a file
previously saved. |
| mlffNetworkTrainer |
Trains a
multilayered
feedforward neural
network. |
| mlffNetworkWrite |
Writes a trained
neural network to an
ASCII file. |
| mlffPatternClassification |
Calculates
classifications for
trained multilayered
feedforward neural
networks. |
| multiCrosscorrelation |
Computes the
multichannel
cross-correlation
function of two
mutually stationary
multichannel time
series. |
| multipleComparisons |
Performs
Student-Newman-Keuls
multiple comparisons
test. |
| multivarNormalityTest |
Computes Mardia’s
multivariate
measures of skewness
and kurtosis and
tests for
multivariate
normality. |
| multivariateNormalCdf |
Computes the
cumulative
distribution
function for the
multivariate normal
distribution. |