feat(linear_solve): matrix inversion linear solver with neumann series approximation

[Benjamin-eecs]

Description

matrix inversion linear solver with neumann series approximation

Types of changes

• New feature (non-breaking change which adds core functionality)
• Documentation (update in the documentation)
• Example (update in the folder of example)

Checklist

• I have read the CONTRIBUTION guide (required)
• My change requires a change to the documentation.
• I have updated the tests accordingly (required for a bug fix or a new feature).
• I have updated the documentation accordingly.
• I have reformatted the code using make format (required)
• I have checked the code using make lint (required)
• I have ensured make test pass. (required)

[codecov-commenter]

Codecov Report

Base: 65.19% // Head: 64.87% // Decreases project coverage by -0.32% ⚠️

Coverage data is based on head (2bd55ba) compared to base (23253b1).
Patch coverage: 63.90% of modified lines in pull request are covered.

Additional details and impacted files

@@            Coverage Diff             @@
##             main      #98      +/-   ##
==========================================
- Coverage   65.19%   64.87%   -0.33%     
==========================================
  Files          62       65       +3     
  Lines        2655     2787     +132     
==========================================
+ Hits         1731     1808      +77     
- Misses        924      979      +55     

Flag	Coverage Δ
unittests	64.87% <63.90%> (-0.33%)	⬇️

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

Impacted Files	Coverage Δ
torchopt/linalg/ns.py	41.81% <41.81%> (ø)
torchopt/linalg/utils.py	52.17% <52.17%> (ø)
torchopt/pytree.py	71.01% <73.46%> (+1.78%)	⬆️
torchopt/linear_solve/inv.py	82.14% <82.14%> (ø)
torchopt/linalg/__init__.py	100.00% <100.00%> (ø)
torchopt/linalg/cg.py	98.14% <100.00%> (+6.36%)	⬆️
torchopt/linear_solve/__init__.py	100.00% <100.00%> (ø)
torchopt/linear_solve/utils.py	100.00% <100.00%> (ø)

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