Implement geometric mean of positive semidefinite Hermitian matrices

[tky823]

Summary

This PR provides the geometric mean of matrices.
The implementation is based on generalized eigendecomposition.
This operation will be useful for IPSDTA and MNMF.

ref #33, #34

close #210

[codecov-commenter]

Codecov Report

Base: 95.00% // Head: 94.93% // Decreases project coverage by -0.06% ⚠️

Coverage data is based on head (f9bc45a) compared to base (4827ca5).
Patch coverage: 92.30% of modified lines in pull request are covered.

Additional details and impacted files

@@            Coverage Diff             @@
##             main     #211      +/-   ##
==========================================
- Coverage   95.00%   94.93%   -0.07%     
==========================================
  Files          30       31       +1     
  Lines        3764     3794      +30     
==========================================
+ Hits         3576     3602      +26     
- Misses        188      192       +4     

Impacted Files	Coverage Δ
ssspy/linalg/eigh.py	92.50% <89.28%> (-7.50%)	⬇️
ssspy/linalg/mean.py	94.44% <94.44%> (ø)
ssspy/bss/ipsdta.py	89.70% <100.00%> (-0.02%)	⬇️
ssspy/linalg/__init__.py	100.00% <100.00%> (ø)

Help us with your feedback. Take ten seconds to tell us how you rate us. Have a feature suggestion? Share it here.

☔ View full report at Codecov.
📢 Do you have feedback about the report comment? Let us know in this issue.