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docs/src/solvers/NonlinearLeastSquaresSolvers.md

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@@ -11,14 +11,14 @@ Solves the nonlinear least squares problem defined by `prob` using the algorithm
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## Full List of Methods
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- `LevenbergMarquardt()`: An advanced Levenberg-Marquardt implementation with the
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improvements suggested in the [paper](https://arxiv.org/abs/1201.5885) "Improvements to
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the Levenberg-Marquardt algorithm for nonlinear least-squares minimization". Designed for
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large-scale and numerically-difficult nonlinear systems.
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- `GaussNewton()`: An advanced GaussNewton implementation with support for efficient
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handling of sparse matrices via colored automatic differentiation and preconditioned
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linear solvers. Designed for large-scale and numerically-difficult nonlinear least squares
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problems.
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- `LevenbergMarquardt()`: An advanced Levenberg-Marquardt implementation with the
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improvements suggested in the [paper](https://arxiv.org/abs/1201.5885) "Improvements to
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the Levenberg-Marquardt algorithm for nonlinear least-squares minimization". Designed for
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large-scale and numerically-difficult nonlinear systems.
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- `GaussNewton()`: An advanced GaussNewton implementation with support for efficient
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handling of sparse matrices via colored automatic differentiation and preconditioned
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linear solvers. Designed for large-scale and numerically-difficult nonlinear least squares
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problems.
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## Example usage
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