"Fossies" - the Fresh Open Source Software Archive  

Source code changes of the file "Libtmp/Slatec/Gaussian.pm" between
PDL-2.082.tar.gz and PDL-2.083.tar.gz

About: PDL (Perl Data Language) aims to turn perl into an efficient numerical language for scientific computing (similar to IDL and MatLab).

Gaussian.pm  (PDL-2.082)	:	Gaussian.pm  (PDL-2.083)
=head1 NAME		=head1 NAME
PDL::Gaussian -- Gaussian distributions.		PDL::Gaussian -- Gaussian distributions.
=head1 SYNOPSIS		=head1 SYNOPSIS
$x = new PDL::Gaussian([3],[5]);		$x = PDL::Gaussian->new([3],[5]);
$x->set_covariance(...)		$x->set_covariance(...)
=head1 DESCRIPTION		=head1 DESCRIPTION
This package provides a set of standard routines to handle		This package provides a set of standard routines to handle
sets gaussian distributions.		sets gaussian distributions.
A new set of gaussians is initialized by		A new set of gaussians is initialized by
$x = new PDL::Gaussian(xdims,gdims);		$x = PDL::Gaussian->new(xdims,gdims);
Where I<xdims> is a reference to an array containing the		Where I<xdims> is a reference to an array containing the
dimensions in the space the gaussian		dimensions in the space the gaussian
is in and I<gdimslist> is a reference to an array containing		is in and I<gdimslist> is a reference to an array containing
the dimensionality of the gaussian space. For example, after		the dimensionality of the gaussian space. For example, after
$x = new PDL::Gaussian([2],[3,4]);		$x = PDL::Gaussian->new([2],[3,4]);
$y = new PDL::Gaussian([],[]);		$y = PDL::Gaussian->new([],[]);
The variable C<$x> contains set of 12 (=C<3*4>) 2-Dimensional gaussians		The variable C<$x> contains set of 12 (=C<3*4>) 2-Dimensional gaussians
and C<$y> is the simplest form: one 1D gaussian.		and C<$y> is the simplest form: one 1D gaussian.
Currently, I<xdims> may containe either zero or one dimensions		Currently, I<xdims> may containe either zero or one dimensions
due to limitations of L<PDL::PP>.		due to limitations of L<PDL::PP>.
To set the distribution parameters, you can use the routines		To set the distribution parameters, you can use the routines
$x->set_covariance($cv); # covariance matrices		$x->set_covariance($cv); # covariance matrices
$x->set_icovariance($icv); # inverse covariance matrices		$x->set_icovariance($icv); # inverse covariance matrices
End of changes. 3 change blocks.
4 lines changed or deleted		4 lines changed or added

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