Readme File

# sfit_minimizer

<dl> sfit_minimizer is a gradient-type minimization algorithm known to work particularly well for point lens microlensing light curves. This algorithm generalizes Simpson’s idea that a 1-D function is well described by it first derivative (which can easily be solved exactly) to several dimensions, i.e., the function is well described by a tangent plane. </dl>

[Detailed documentation: https://jenniferyee.github.io/sfit_minimizer/]( https://jenniferyee.github.io/sfit_minimizer/)

[Latest release: 1.0.2](https://github.com/jenniferyee/sfit_minimizer/releases/latest)

## Acknowledgements

If you are using sfit_minimizer for scientific research: please cite [Yee & Gould 2025](https://arxiv.org/abs/2502.04486)

## Examples

Please see the “examples” folder.

## How to install?

Clone this repository.