:orphan: Inverse Problems ================ These examples fit bounded parameters to measured or synthetic observations. They progress from a small analytic model to a unit-aware PyMieSim scattering calculation. The optimizer is deterministic, derivative-free, and intended for a small number of parameters. Fits using isolated-particle scattering inherit the non-interacting approximation of their forward model. Refer to PackLab when particle correlations or dependent scattering need to be represented. .. raw:: html
.. raw:: html
.. thumbnail-parent-div-open .. raw:: html
.. only:: html .. image:: /gallery/inverse/images/thumb/sphx_glr_fit_linear_scale_thumb.png :alt: :doc:`/gallery/inverse/fit_linear_scale` .. raw:: html
Fit a scalar scale factor
.. raw:: html
.. only:: html .. image:: /gallery/inverse/images/thumb/sphx_glr_fit_sphere_scattering_thumb.png :alt: :doc:`/gallery/inverse/fit_sphere_scattering` .. raw:: html
Fit an isolated-sphere scattering measurement
.. raw:: html
.. only:: html .. image:: /gallery/inverse/images/thumb/sphx_glr_fit_unit_aware_diameter_thumb.png :alt: :doc:`/gallery/inverse/fit_unit_aware_diameter` .. raw:: html
Fit a unit-aware diameter
.. thumbnail-parent-div-close .. raw:: html
.. toctree:: :hidden: /gallery/inverse/fit_linear_scale /gallery/inverse/fit_sphere_scattering /gallery/inverse/fit_unit_aware_diameter .. only:: html .. rst-class:: sphx-glr-signature `Gallery generated by Sphinx-Gallery `_