use FitCurveOptimal to improve approximation quality of approximated point list profiles

[joergbrech]

Description

Addresses #1320. Switching to FitCurveOptimal results in a much better control point distribution. Not adding a release note entry as it doesn't add any functionality on top of #1277, which has a release note entry already.

This PR does not fix the issue of excessive knot insertion in the pre-processing of the profile curves before lofting.

How Has This Been Tested?

Tested on a variant of the BWB model in the digital hangar. Approximation quality is greatly improved.

Screenshots, that help to understand the changes(if applicable):

Checklist:

Task	Finished	Reviewer Approved
At least one test for the new functionality was added.	yes does not apply	OK
New classes have been added to the Python interface.	yes does not apply	OK
The code is properly documented with doxygen docstrings	yes does not apply	OK
Changes are documented at the top of ChangeLog.md	yes - [ x] does not apply	OK

[codecov]

Codecov Report

✅ All modified and coverable lines are covered by tests.
✅ Project coverage is 72.97%. Comparing base (60489af) to head (75721ff).

Additional details and impacted files

@@           Coverage Diff           @@
##             main    #1329   +/-   ##
=======================================
  Coverage   72.96%   72.97%           
=======================================
  Files         322      322           
  Lines       28290    28292    +2     
=======================================
+ Hits        20643    20645    +2     
  Misses       7647     7647           

Flag	Coverage Δ
unittests	72.97% <100.00%> (+<0.01%)	⬆️

Flags with carried forward coverage won't be shown. Click here to find out more.

Files with missing lines	Coverage Δ
src/fuselage/CCPACSFuselageProfile.cpp	87.50% <100.00%> (+0.05%)	⬆️
src/geometry/CTiglApproximateBsplineWire.cpp	61.66% <100.00%> (+0.32%)	⬆️
src/geometry/CTiglBSplineApproxInterp.cpp	96.98% <100.00%> (ø)
src/geometry/CTiglBSplineApproxInterp.h	100.00% <ø> (ø)

🚀 New features to boost your workflow:

• ❄️ Test Analytics: Detect flaky tests, report on failures, and find test suite problems.
• 📦 JS Bundle Analysis: Save yourself from yourself by tracking and limiting bundle sizes in JS merges.