A. Gould's sfit gradient-type minimization algorithm
Project description
sfit_minimizer
- 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.
Detailed documentation: https://jenniferyee.github.io/sfit_minimizer/
Acknowledgements
If you are using sfit_minimizer for scientific research: please cite Yee & Gould 2025
Examples
Please see the "examples" folder.
How to install?
Clone this repository.
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