Merge pull request #88 from mrava87/main

Prepare for v0.4.0

Author: mrava87

CHANGELOG.md

@@ -1,3 +1,14 @@
+# 0.4.0
+* Added ``pyproximal.optimization.primal.ADMML2``,
+  ``pyproximal.optimization.primal.HQS``,
+  and ``pyproximal.optimization.pnp.PlugAndPlay`` solvers
+* Added ``pyproximal.proximal.ETP``, ``pyproximal.proximal.Geman``,
+  ``pyproximal.proximal.L0``, ``pyproximal.proximal.Log``,
+  ``pyproximal.proximal.QuadraticEnvelopeCard``, ``pyproximal.proximal.SCAD``
+  operators.
+* Allow `tau` parameter of proximal operators to be a vector to handle problems with
+  multiple right-hand sides.
+
 # 0.3.0
 * Added ``pyproximal.optimization.palm.PALM`` optimizer
 * Added ``callback`` to ``pyproximal.optimization.proximal.ProximalPoint`` 

docs/source/changelog.rst

@@ -3,6 +3,20 @@
 Changelog
 =========
 
+Version 0.4.0
+--------------
+*Released on: 05/06/2022*
+
+* Added :py:class:`pyproximal.optimization.primal.ADMML2`,
+  :py:class:`pyproximal.optimization.primal.HQS`,
+  and :py:class:`pyproximal.optimization.pnp.PlugAndPlay` solvers
+* Added :py:class:`pyproximal.proximal.ETP`, :py:class:`pyproximal.proximal.Geman`,
+  :py:class:`pyproximal.proximal.L0`, :py:class:`pyproximal.proximal.Log`,
+  :py:class:`pyproximal.proximal.QuadraticEnvelopeCard`, :py:class:`pyproximal.proximal.SCAD`
+  operators.
+* Allow `tau` parameter of proximal operators to be a vector to handle problems with
+  multiple right-hand sides.
+
 Version 0.3.0
 --------------
 *Released on: 23/03/2022*
@@ -26,7 +40,7 @@ Version 0.2.0
   and :py:class:`pyproximal.proximal.Nonlinear` operators
 * Added
   :py:class:`pyproximal.proximal.Nuclear`, and
-  :py:class:`pyproximal.proximal.NuclearBall` operator
+  :py:class:`pyproximal.proximal.NuclearBall` operators
 * Added :py:class:`pyproximal.optimization.primal.TwIST` solver
 * Added `acceleration` in
   :py:class:`pyproximal.optimization.primal.AcceleratedProximalGradient` solver

pyproximal/proximal/L0.py

@@ -43,7 +43,7 @@ class L0(ProxOperator):
     Parameters
     ----------
     sigma : :obj:`float` or :obj:`list` or :obj:`np.ndarray` or :obj:`func`, optional
-        Multiplicative coefficient of L1 norm. This can be a constant number, a list
+        Multiplicative coefficient of L0 norm. This can be a constant number, a list
         of values (for multidimensional inputs, acting on the second dimension) or
         a function that is called passing a counter which keeps track of how many
         times the ``prox`` method has been invoked before and returns a scalar (or a list of)