Algorithm-CurveFit

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README  view on Meta::CPAN

    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:

        $params = [

README  view on Meta::CPAN

    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
      Optional parameter to make the process stop after a given number of
      iterations. Using the accuracy measure and this option together is
      encouraged to prevent the algorithm from going into an endless loop in
      some cases.

    The subroutine returns the sum of square residuals after the final
    iteration as a measure for the quality of the fit.

  EXPORT
    None by default, but you may choose to export "curve_fit" using the
    standard Exporter semantics.

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

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 = [
    ['parameter1', 5,  0.00001],
    ['parameter2', 12, 0.0001 ],

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

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'.

=item maximum_iterations

Optional parameter to make the process stop after a given number of iterations.
Using the accuracy measure and this option together is encouraged to prevent
the algorithm from going into an endless loop in some cases.

=back

The subroutine returns the sum of square residuals after the final iteration
as a measure for the quality of the fit.

=head2 EXPORT