: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
.. 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
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.. 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
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.. 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
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