Add some pynumero-based sensitivity functions

[eslickj]

Fixes None

Add a couple pynumero-based sensitivity functions to the sensitivity toolbox function.

Summary/Motivation:

This provides some alternative sensitivity calculations based on pynumero

Changes proposed in this PR:

• and ability to calculate sensitivity using pynumero

Legal Acknowledgement

By contributing to this software project, I have read the contribution guide and agree to the following terms and conditions for my contribution:

1. I agree my contributions are submitted under the BSD license.
2. I represent I am authorized to make the contributions and grant the license. If my employer has rights to intellectual property that includes these contributions, I represent that I have received permission to make contributions and grant the required license on behalf of that employer.

[adowling2]

Adding a note for me to look at this!

[codecov]

Codecov Report

Attention: Patch coverage is 95.12195% with 2 lines in your changes missing coverage. Please review.

Project coverage is 88.72%. Comparing base (d1a507f) to head (52604ae).
Report is 61 commits behind head on main.

Files with missing lines	Patch %	Lines
pyomo/contrib/sensitivity_toolbox/pynumero.py	95.12%	2 Missing ⚠️

Additional details and impacted files

@@           Coverage Diff            @@
##             main    #3561    +/-   ##
========================================
  Coverage   88.72%   88.72%            
========================================
  Files         889      891     +2     
  Lines      102145   102448   +303     
========================================
+ Hits        90626    90902   +276     
- Misses      11519    11546    +27     

Flag	Coverage Δ
builders	26.57% <19.51%> (+<0.01%)	⬆️
default	84.84% <95.12%> (?)
expensive	33.96% <19.51%> (?)
linux	86.20% <95.12%> (-2.27%)	⬇️
linux_other	86.20% <95.12%> (-0.04%)	⬇️
osx	76.20% <95.12%> (+0.01%)	⬆️
win	84.73% <95.12%> (+<0.01%)	⬆️
win_other	84.73% <95.12%> (+<0.01%)	⬆️

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

☔ View full report in Codecov by Sentry.
📢 Have feedback on the report? Share it here.

🚀 New features to boost your workflow:

• ❄️ Test Analytics: Detect flaky tests, report on failures, and find test suite problems.