Pyoptmat

This release collects several minor fixes and updates.

This applies the fixes to the sphinx documentation so that the readthedocs stable will be caught up.

This version catches the release up with various improvements completed over the summer of 2023.

Additionally, it adds a significant new feature to the ODE integration routines: the ability to include the initial conditions in the parameter set and calculate the sensitivities with the adjoint method.

What's Changed
* Adds ability to scale data based on test type by reverendbedford in https://github.com/Argonne-National-Laboratory/pyoptmat/pull/28
* Removed all in place operators by reverendbedford in https://github.com/Argonne-National-Laboratory/pyoptmat/pull/29
* Adjoint for initial conditions by reverendbedford in https://github.com/Argonne-National-Laboratory/pyoptmat/pull/30
* Fixes damage models by reverendbedford in https://github.com/Argonne-National-Laboratory/pyoptmat/pull/31


**Full Changelog**: https://github.com/Argonne-National-Laboratory/pyoptmat/compare/v1.3.2...v1.3.3

Adds time-chunked backward passes for both forward and backward Euler integration.

Minor release to propagate the doc fixes into the stable version.

This release adds additional options for solving the batched, blocked linear systems setup by the chunked time integration routines. Specifically, this release adds an option to use Parallel Cyclic Reduction (PCR) instead of Thomas's algorithm. Switching from Thomas (default) to PCR can further speed up time integration for smaller ODE systems.