Algorithm-CurveFit

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README  view on Meta::CPAN

      (X-Data) and the parameters (see below) should yield the associated
      Y-Data value in case of perfect fit.

    variable
      The 'variable' is the variable in the formula that will be replaced
      with the X-Data points for evaluation. If omitted in the call to
      "curve_fit", the name 'x' is default. (Hence 'xdata'.)

    params
      The parameters are the symbols in the formula whose value is varied by
      the algorithm to find the best fit of the curve to the data. There may
      be one or more parameters, but please keep in mind that the number of
      parameters not only increases processing time, but also decreases the
      quality of the fit.

      The value of this options should be an anonymous array. This array
      should hold one anonymous array for each parameter. That array should
      hold (in order) a parameter name, an initial guess, and optionally an
      accuracy measure.

      Example:

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'.

    maximum_iterations

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

=item variable

The 'variable' is the variable in the formula that will be replaced with the
X-Data points for evaluation. If omitted in the call to C<curve_fit>, the
name 'x' is default. (Hence 'xdata'.)

=item params

The parameters are the symbols in the formula whose value is varied by the
algorithm to find the best fit of the curve to the data. There may be
one or more parameters, but please keep in mind that the number of parameters
not only increases processing time, but also decreases the quality of the fit.

The value of this options should be an anonymous array. This array should
hold one anonymous array for each parameter. That array should hold (in order)
a parameter name, an initial guess, and optionally an accuracy measure.

Example:

  $params = [

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
corresponding to the x-values in 'xdata'.