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Changes  view on Meta::CPAN

  - Now uses Module::Build.
  - POD coverage tests.
  - Better META.yml
  - etc.

1.01  Tue Sep 13 21:58 2005
  - Added additional parameter checks and more helpful error messages.
  - Now also accepts Math::Symbolic trees as formulas.

1.00  Mon Apr 25 16:25 2005
  - original version as uploaded to CPAN

README  view on Meta::CPAN

        );

      The accuracy measure means that if the change of parameters from one
      iteration to the next is below each accuracy measure for each
      parameter, convergence is assumed and the algorithm stops iterating.

      In order to prevent looping forever, you are strongly encouraged to
      make use of the accuracy measure (see also: maximum_iterations).

      The final set of parameters is not returned from the subroutine but
      the parameters are modified in-place. That means the original data
      structure will hold the best estimate of the parameters.

    xdata
      This should be an array reference to an array holding the data for the
      variable of the function. (Which defaults to 'x'.)

    ydata
      This should be an array reference to an array holding the function
      values corresponding to the x-values in 'xdata'.

lib/Algorithm/CurveFit.pm  view on Meta::CPAN

  );

The accuracy measure means that if the change of parameters from one iteration
to the next is below each accuracy measure for each parameter, convergence is
assumed and the algorithm stops iterating.

In order to prevent looping forever, you are strongly encouraged to make use of
the accuracy measure (see also: maximum_iterations).

The final set of parameters is B<not> returned from the subroutine but the
parameters are modified in-place. That means the original data structure will
hold the best estimate of the parameters.

=item xdata

This should be an array reference to an array holding the data for the
variable of the function. (Which defaults to 'x'.)

=item ydata

This should be an array reference to an array holding the function values