[WIP] Spectral-Grassmann OT

RELEASES.md

@@ -1,5 +1,6 @@
 # Releases
 
+
 ## 0.9.7.dev0
 
 This new release adds support for sparse cost matrices and a new lazy EMD solver that computes distances on-the-fly from coordinates, reducing memory usage from O(n×m) to O(n+m). Both implementations are backend-agnostic and preserve gradient computation for automatic differentiation.
@@ -12,8 +13,13 @@ This new release adds support for sparse cost matrices and a new lazy EMD solver
 - Migrate backend from deprecated `scipy.sparse.coo_matrix` to modern `scipy.sparse.coo_array` (PR #782)
 - Geomloss function now handles both scalar and slice indices for i and j (PR #785)
 - Add support for sparse cost matrices in EMD solver (PR #778, Issue #397)
+<<<<<<< HEAD
 - Added UOT1D with Frank-Wolfe in `ot.unbalanced.uot_1d` (PR #765)
 - Add Sliced UOT and Unbalanced Sliced OT in `ot/unbalanced/_sliced.py` (PR #765)
+=======
+- Add cost functions between linear operators following
+  [A Spectral-Grassmann Wasserstein metric for operator representations of dynamical systems](https://arxiv.org/pdf/2509.24920) (PR #792)
+>>>>>>> 8d13c55 (edits as per PR #792)
 
 #### Closed issues
 

docs/source/all.rst

@@ -34,6 +34,7 @@ API and modules
    plot
    regpath
    sliced
+   sgot
    smooth
    stochastic
    unbalanced