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Next: <a rel="next" accesskey="n" href="lm_005fsvd_005ffeasible.html#lm_005fsvd_005ffeasible">lm_svd_feasible</a>,
Previous: <a rel="previous" accesskey="p" href="nonlin_005fresidmin.html#nonlin_005fresidmin">nonlin_residmin</a>,
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<h3 class="section">2.2 Function nonlin_curvefit() for curve fitting</h3>
<p><a name="index-nonlin_005fcurvefit-33"></a>
In curve fitting, the model function computes values from a constant set
of `independents', and the intention is to minimize the differences of
these computed values to a constant set of `observations'. This can be
done with <code>nonlin_residmin</code>, but it is more convenient to use
<code>nonlin_curvefit</code>, which cares for passing the constant
`independents' to the model function and for calculating the differences
to the constant `observations'.
<p>However, if in some optimization problem you notice that you end up with
passing dummy-values for the `independents' and zeros for the
`observations', you can more naturally use <code>nonlin_residmin</code>
instead of <code>nonlin_curvefit</code>.
<!-- include function help here -->
<!-- nonlin_curvefit ../inst/nonlin_curvefit.m -->
<p><a name="XREFnonlin_005fcurvefit"></a>
<div class="defun">
— Function File: [<var>p</var>, <var>fy</var>, <var>cvg</var>, <var>outp</var>] = <b>nonlin_curvefit</b> (<var>f, pin, x, y</var>)<var><a name="index-nonlin_005fcurvefit-34"></a></var><br>
— Function File: [<var>p</var>, <var>fy</var>, <var>cvg</var>, <var>outp</var>] = <b>nonlin_curvefit</b> (<var>f, pin, x, y, settings</var>)<var><a name="index-nonlin_005fcurvefit-35"></a></var><br>
<blockquote><p>Frontend for nonlinear fitting of values, computed by a model
function, to observed values.
<p>Please refer to the description of <code>nonlin_residmin</code>. The
differences to <code>nonlin_residmin</code> are the additional arguments
<var>x</var> (independent values, mostly, but not necessarily, an array of
the same dimensions or the same number of rows as <var>y</var>) and
<var>y</var> (array of observations), the returned value <var>fy</var> (final
guess for observed values) instead of <var>resid</var>, that the model
function has a second obligatory argument which will be set to
<var>x</var> and is supposed to return guesses for the observations (with
the same dimensions), and that the possibly user-supplied function
for the jacobian of the model function has also a second obligatory
argument which will be set to <var>x</var>.
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<p class="noindent"><strong>See also:</strong> <a href="XREFnonlin_005fresidmin.html#XREFnonlin_005fresidmin">nonlin_residmin</a>.
</blockquote></div>
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<p>Also, if the setting <code>user_interaction</code> is given, additional
information is passed to these functions, see
<a href="Common-optimization-options.html#Common-optimization-options">Common optimization options</a>.
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