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diff --git a/doc/LinearLeastSquares.dox b/doc/LinearLeastSquares.dox new file mode 100644 index 000000000..ab21a87ae --- /dev/null +++ b/doc/LinearLeastSquares.dox @@ -0,0 +1,27 @@ +namespace Eigen { + +/** \eigenManualPage LinearLeastSquares Solving linear least squares problems + +lede + +\eigenAutoToc + +\section LinearLeastSquaresCopied Copied + +The best way to do least squares solving is with a SVD decomposition. Eigen provides one as the JacobiSVD class, and its solve() +is doing least-squares solving. + +Here is an example: +<table class="example"> +<tr><th>Example:</th><th>Output:</th></tr> +<tr> + <td>\include TutorialLinAlgSVDSolve.cpp </td> + <td>\verbinclude TutorialLinAlgSVDSolve.out </td> +</tr> +</table> + +For more information, including faster but less reliable methods, read our page concentrating on \ref LinearLeastSquares "linear least squares problems". + +*/ + +} |