Spdhg with stochastic sampler and fix to gamma parameter (#1644)

Spdhg with stochastic sampler and fix to gamma parameter (#1644) --------- Signed-off-by: Margaret Duff <[email protected]> Co-authored-by: gfardell <[email protected]> Co-authored-by: Edoardo Pasca <[email protected]>
TomographicImaging · Nov 25, 2024 · 411c679 · 411c679
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diff --git a/CHANGELOG.md b/CHANGELOG.md
@@ -1,10 +1,15 @@
 * 24.x.x
 - Bug fixes:
   - Fix bug with 'median' and 'mean' methods in Masker averaging over the wrong axes.
+  - `SPDHG` `gamma` parameter is now applied correctly, so that the product of the dual and primal step sizes remains constant as `gamma` varies (#1644) 
 - Enhancements:
   - Removed multiple exits from numba implementation of KullbackLeibler divergence (#1901)
+- Updated the `SPDHG` algorithm to take a stochastic `Sampler` and to more easily set step sizes (#1644) 
 - Dependencies:
   - Added scikit-image to CIL-Demos conda install command as needed for new Callbacks notebook.
+- Changes that break backwards compatibility:
+    - Deprecated `norms` and `prob` in the `SPDHG` algorithm to be set in the `BlockOperator` and `Sampler` respectively (#1644)
+
 
 * 24.2.0
   - New Features: