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authorEdoardo Pasca <edo.paskino@gmail.com>2019-07-08 09:58:21 +0100
committerEdoardo Pasca <edo.paskino@gmail.com>2019-07-08 09:58:21 +0100
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@@ -120,6 +120,19 @@ In `ccpi.framework` we define a number of common classes normally used in tomogr
The `Algorithm` provides the infrastructure to continue iteration, to access the values of the objective function in subsequent iterations, the time for each iteration.
+ ### Block Framework
+
+Block Framework is a generic strategy to treat variational problems in the following form: `\min \text{Regulariser} + \text{Fidelity} `
+where Regulariser and Fidelity are convex functions. While Fidelity is differentiable Regulariser may not.
+
+We have now a number of algorithms that can address this:
+
+ * GradientDescent
+ * CGLS
+ * SIRT
+ * FISTA
+ * PDHG
+
#### Examples
Please see the [demos](https://github.com/vais-ral/CIL-Demos) for examples of defining and using operators, functions and algorithms