TutorialsΒΆ
The following tutorials show how to use iminuit. The order is the recommended reading order, the later entries are about more and more specialized applications. Most users will only need the first tutorial.
- Basics
- Cost functions
- Hesse and Minos
- How to draw error bands
- Fits with shared parameters
- Fit PDF with conditional variable
- Acceleration with Numba
- Automatic differentiation with JAX
- SciPy minimizers and constraints
- Using external minimizers
- Generic least-squares function
- Using Cython
- Performance of cost functions