Feat: l01ball

docs/source/api/index.rst

@@ -24,6 +24,7 @@ Orthogonal projections
     HyperPlaneBoxProj
     IntersectionProj
     L0BallProj
+    L01BallProj
     L1BallProj
     NuclearBallProj
     SimplexProj
@@ -68,6 +69,7 @@ Convex
     Intersection
     L0
     L0Ball
+    L01Ball
     L1
     L1Ball
     L2

pyproximal/projection/L0.py

@@ -1,9 +1,8 @@
 import numpy as np
-from pyproximal.projection import SimplexProj
 
 
 class L0BallProj():
-    r"""L0 ball projection.
+    r""":math:`L_0` ball projection.
 
     Parameters
     ----------
@@ -32,4 +31,40 @@ def __call__(self, x):
         xshape = x.shape
         xf = x.copy().flatten()
         xf[np.argsort(np.abs(xf))[:-self.radius]] = 0
-        return xf.reshape(xshape)
+        return xf.reshape(xshape)
+
+
+class L01BallProj():
+    r""":math:`L_{0,1}` ball projection.
+
+    Parameters
+    ----------
+    radius : :obj:`int`
+        Radius
+
+    Notes
+    -----
+    Given an :math:`L_{0,1}` ball defined as:
+
+    .. math::
+
+        L_{0,1}^{r} =
+        \{ \mathbf{x}: \text{count}([||\mathbf{x}_1||_1,
+        ||\mathbf{x}_2||_1, ..., ||\mathbf{x}_1||_1] \ne 0) \leq r \}
+
+    its orthogonal projection is computed by finding the :math:`r` highest
+    largest entries of a vector obtained by applying the :math:`L_1` norm to each
+    column of a matrix :math:`\mathbf{x}` (in absolute value), keeping those
+    and zero-ing all the other entries.
+    Note that this is the proximal operator of the corresponding
+    indicator function :math:`\mathcal{I}_{L_{0,1}^{r}}`.
+
+    """
+    def __init__(self, radius):
+        self.radius = int(radius)
+
+    def __call__(self, x):
+        xc = x.copy()
+        xf = np.linalg.norm(x, axis=0, ord=1)
+        xc[:, np.argsort(np.abs(xf))[:-self.radius]] = 0
+        return xc

pyproximal/projection/L1.py

@@ -3,7 +3,7 @@
 
 
 class L1BallProj():
-    r"""L1 ball projection.
+    r""":math:`L_1` ball projection.
 
     Parameters
     ----------

pyproximal/projection/__init__.py

@@ -8,6 +8,7 @@
     HyperPlaneBoxProj	        Projection onto an intersection beween a HyperPlane and a Box
     SimplexProj	                Projection onto a Simplex
     L0Proj	                    Projection onto an L0 Ball
+    L01Proj	                    Projection onto an L0,1 Ball
     L1Proj	                    Projection onto an L1 Ball
     EuclideanBallProj	        Projection onto an Euclidean Ball
     NuclearBallProj	            Projection onto a Nuclear Ball
@@ -29,5 +30,5 @@
 
 
 __all__ = ['BoxProj', 'HyperPlaneBoxProj', 'SimplexProj', 'L0BallProj',
-           'L1BallProj', 'EuclideanBallProj', 'NuclearBallProj',
+           'L01BallProj', 'L1BallProj', 'EuclideanBallProj', 'NuclearBallProj',
            'IntersectionProj', 'AffineSetProj', 'HankelProj']

pyproximal/proximal/L0.py

@@ -1,7 +1,7 @@
 import numpy as np
 
 from pyproximal.ProxOperator import _check_tau
-from pyproximal.projection import L0BallProj
+from pyproximal.projection import L0BallProj, L01BallProj
 from pyproximal import ProxOperator
 from pyproximal.proximal.L1 import _current_sigma
 
@@ -35,7 +35,7 @@ def _hardthreshold(x, thresh):
 
 
 class L0(ProxOperator):
-    r"""L0 norm proximal operator.
+    r""":math:`L_0` norm proximal operator.
 
     Proximal operator of the :math:`\ell_0` norm:
     :math:`\sigma\|\mathbf{x}\|_0 = \text{count}(x_i \ne 0)`.
@@ -92,7 +92,7 @@ def prox(self, x, tau):
 
 
 class L0Ball(ProxOperator):
-    r"""L0 ball proximal operator.
+    r""":math:`L_0` ball proximal operator.
 
     Proximal operator of the L0 ball: :math:`L0_{r} =
     \{ \mathbf{x}: ||\mathbf{x}||_0 \leq r \}`.
@@ -103,7 +103,6 @@ class L0Ball(ProxOperator):
         Radius. This can be a constant number 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 ``radius`` to be used.
-        Radius
 
     Notes
     -----
@@ -136,4 +135,61 @@ def prox(self, x, tau):
         radius = _current_sigma(self.radius, self.count)
         self.ball.radius = radius
         y = self.ball(x)
-        return y
+        return y
+
+
+class L01Ball(ProxOperator):
+    r""":math:`L_{0,1}` ball proximal operator.
+
+    Proximal operator of the :math:`L_{0,1}` ball: :math:`L_{0,1}^{r} =
+    \{ \mathbf{x}: \text{count}([||\mathbf{x}_1||_1, ||\mathbf{x}_2||_1, ...,
+    ||\mathbf{x}_1||_1] \ne 0) \leq r \}`
+
+    Parameters
+    ----------
+    ndim : :obj:`int`
+        Number of dimensions :math:`N_{dim}`. Used to reshape the input array
+        in a matrix of size :math:`N_{dim} \times N'_{x}` where
+        :math:`N'_x = \frac{N_x}{N_{dim}}`. Note that the input
+        vector ``x`` should be created by stacking vectors from different
+        dimensions.
+    radius : :obj:`int` or :obj:`func`, optional
+        Radius. This can be a constant number 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 ``radius`` to be used.
+
+    Notes
+    -----
+    As the L0 ball is an indicator function, the proximal operator
+    corresponds to its orthogonal projection
+    (see :class:`pyproximal.projection.L01BallProj` for details.
+
+    """
+    def __init__(self, ndim, radius):
+        super().__init__(None, False)
+        self.ndim = ndim
+        self.radius = radius
+        self.ball = L01BallProj(self.radius if not callable(radius) else radius(0))
+        self.count = 0
+
+    def __call__(self, x, tol=1e-4):
+        x = x.reshape(self.ndim, len(x) // self.ndim)
+        radius = _current_sigma(self.radius, self.count)
+        return np.linalg.norm(np.linalg.norm(x, ord=1, axis=0), ord=0) <= radius
+
+    def _increment_count(func):
+        """Increment counter
+        """
+        def wrapped(self, *args, **kwargs):
+            self.count += 1
+            return func(self, *args, **kwargs)
+        return wrapped
+
+    @_increment_count
+    @_check_tau
+    def prox(self, x, tau):
+        x = x.reshape(self.ndim, len(x) // self.ndim)
+        radius = _current_sigma(self.radius, self.count)
+        self.ball.radius = radius
+        y = self.ball(x)
+        return y.ravel()

pyproximal/proximal/__init__.py

@@ -12,6 +12,7 @@
     Nonlinear	                    Nonlinear function
     L0                              L0 Norm
     L0Ball                          L0 Ball
+    L01pBall                        L0,1 Ball
     L1	                            L1 Norm
     L1Ball                          L1 Ball
     Euclidean	                    Euclidean Norm
@@ -67,7 +68,7 @@
 from .Hankel import *
 
 __all__ = ['Box', 'Simplex', 'Intersection', 'AffineSet', 'Quadratic',
-           'Euclidean', 'EuclideanBall', 'L0', 'L0Ball', 'L1', 'L1Ball', 'L2',
+           'Euclidean', 'EuclideanBall', 'L0', 'L0Ball', 'L01Ball', 'L1', 'L1Ball', 'L2',
            'L2Convolve', 'L21', 'L21_plus_L1', 'Huber', 'TV', 'RelaxedMumfordShah',
            'Nuclear', 'NuclearBall', 'Orthogonal', 'VStack', 'Nonlinear', 'SCAD',
            'Log', 'Log1', 'ETP', 'Geman', 'QuadraticEnvelopeCard', 'SingularValuePenalty',

pytests/test_projection.py

@@ -4,7 +4,7 @@
 from numpy.testing import assert_array_almost_equal
 from pylops.basicoperators import Identity
 from pyproximal.utils import moreau
-from pyproximal.proximal import Box, EuclideanBall, L0Ball, L1Ball, \
+from pyproximal.proximal import Box, EuclideanBall, L0Ball, L01Ball, L1Ball, \
     NuclearBall, Simplex, AffineSet, Hankel
 
 par1 = {'nx': 10, 'ny': 8, 'axis': 0, 'dtype': 'float32'}  # even float32 dir0
@@ -65,6 +65,25 @@ def test_L0Ball(par):
     assert moreau(l0, x, tau)
 
 
+@pytest.mark.parametrize("par", [(par1), (par2)])
+def test_L01Ball(par):
+    """L01 Ball projection and proximal/dual proximal of related indicator
+    """
+    np.random.seed(10)
+
+    l0 = L01Ball(3, 1)
+    x = np.random.normal(0., 1., (3, par['nx'])).astype(par['dtype']).ravel() + 1.
+
+    # evaluation
+    assert l0(x) == False
+    xp = l0.prox(x, 1.)
+    assert l0(xp) == True
+
+    # prox / dualprox
+    tau = 2.
+    assert moreau(l0, x, tau)
+
+
 @pytest.mark.parametrize("par", [(par1), (par2)])
 def test_L1Ball(par):
     """L1 Ball projection and proximal/dual proximal of related indicator