Merge pull request #52 from mrava87/master

Added changelog for version v1.3.0

Author: mrava87

CHANGELOG.md

@@ -1,3 +1,12 @@
+# 1.3.0
+* Added ``fftw`` engine to ``FFT`` operator
+* Added ``ISTA`` and ``FISTA`` sparse solvers
+* Added possibility to broadcast (handle multi-dimensional arrays)
+  to ``Diagonal`` and ``Restriction`` operators
+* Added possibility ``Interp`` operator
+* Added possibility ``Spread`` operator
+* Added possibility ``Radon2D`` operator
+
 # 1.2.0
 * Added ``eigs`` and ``cond`` methods to ``LinearOperator``
   to estimate eigenvalues and conditioning number using scipy wrapping of

docs/source/changelog.rst

@@ -3,12 +3,27 @@
 Changelog
 =========
 
+Version 1.3.0
+-------------
+
+*Released on: 24/02/2018*
+
+* Added ``fftw`` engine to :py:class:`pylops.signalprocessing.FFT` operator
+* Added :py:func:`pylops.optimization.sparsity.ISTA` and
+  :py:func:`pylops.optimization.sparsity.FISTA` sparse solvers
+* Added possibility to broadcast (handle multi-dimensional arrays)
+  to :py:class:`pylops.Diagonal` and :py:func:`pylops..Restriction` operators
+* Added possibility :py:class:`pylops.signalprocessing.Interp` operator
+* Added possibility :py:class:`pylops.Spread` operator
+* Added possibility :py:class:`pylops.signalprocessing.Radon2D` operator
+
+
 Version 1.2.0
 -------------
 
 *Released on: 13/01/2018*
 
-* Added :py:class:`pylops.LinearOperator.eigs` and :py:class:`pylops.LinearOperator.cond`
+* Added :py:func:`pylops.LinearOperator.eigs` and :py:func:`pylops.LinearOperator.cond`
   methods to estimate estimate eigenvalues and conditioning number using scipy wrapping of
   `ARPACK <http://www.caam.rice.edu/software/ARPACK/>`_
 * Modified default ``dtype`` for all operators to be ``float64`` (or ``complex128``)
@@ -22,11 +37,11 @@ Version 1.2.0
   :py:class:`pylops.Regression` when ``order=1``
 * Modified :py:class:`pylops.MatrixMult` operator to work with both
   numpy ndarrays and scipy sparse matrices
-* Added :py:class:`pylops.avo.prestack.PrestackInversion` routine
+* Added :py:func:`pylops.avo.prestack.PrestackInversion` routine
 * Added possibility to have a data weight via ``Weight`` input parameter
-  to :py:class:`pylops.optimization.leastsquares.NormalEquationsInversion`
-  and :py:class:`pylops.optimization.leastsquares.RegularizedInversion` solvers
-* Added :py:class:`pylops.optimization.sparsity.IRLS` solver
+  to :py:func:`pylops.optimization.leastsquares.NormalEquationsInversion`
+  and :py:func:`pylops.optimization.leastsquares.RegularizedInversion` solvers
+* Added :py:func:`pylops.optimization.sparsity.IRLS` solver
 
 
 Version 1.1.0