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<title>Nonlinear Least-Squares Fitting - GNU Scientific Library -- Reference Manual</title>
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<h2 class="chapter">37 Nonlinear Least-Squares Fitting</h2>
<p><a name="index-nonlinear-least-squares-fitting-2392"></a><a name="index-least-squares-fitting_002c-nonlinear-2393"></a>
This chapter describes functions for multidimensional nonlinear
least-squares fitting. The library provides low level components for a
variety of iterative solvers and convergence tests. These can be
combined by the user to achieve the desired solution, with full access
to the intermediate steps of the iteration. Each class of methods uses
the same framework, so that you can switch between solvers at runtime
without needing to recompile your program. Each instance of a solver
keeps track of its own state, allowing the solvers to be used in
multi-threaded programs.
<p>The header file <samp><span class="file">gsl_multifit_nlin.h</span></samp> contains prototypes for the
multidimensional nonlinear fitting functions and related declarations.
<ul class="menu">
<li><a accesskey="1" href="Overview-of-Nonlinear-Least_002dSquares-Fitting.html">Overview of Nonlinear Least-Squares Fitting</a>
<li><a accesskey="2" href="Initializing-the-Nonlinear-Least_002dSquares-Solver.html">Initializing the Nonlinear Least-Squares Solver</a>
<li><a accesskey="3" href="Providing-the-Function-to-be-Minimized.html">Providing the Function to be Minimized</a>
<li><a accesskey="4" href="Iteration-of-the-Minimization-Algorithm.html">Iteration of the Minimization Algorithm</a>
<li><a accesskey="5" href="Search-Stopping-Parameters-for-Minimization-Algorithms.html">Search Stopping Parameters for Minimization Algorithms</a>
<li><a accesskey="6" href="Minimization-Algorithms-using-Derivatives.html">Minimization Algorithms using Derivatives</a>
<li><a accesskey="7" href="Minimization-Algorithms-without-Derivatives.html">Minimization Algorithms without Derivatives</a>
<li><a accesskey="8" href="Computing-the-covariance-matrix-of-best-fit-parameters.html">Computing the covariance matrix of best fit parameters</a>
<li><a accesskey="9" href="Example-programs-for-Nonlinear-Least_002dSquares-Fitting.html">Example programs for Nonlinear Least-Squares Fitting</a>
<li><a href="References-and-Further-Reading-for-Nonlinear-Least_002dSquares-Fitting.html">References and Further Reading for Nonlinear Least-Squares Fitting</a>
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