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Added changelog for version v1.3.0 #52

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Feb 24, 2019
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Added changelog for version v1.3.0 #52

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9 changes: 9 additions & 0 deletions CHANGELOG.md
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# 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
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25 changes: 20 additions & 5 deletions docs/source/changelog.rst
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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``)
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: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
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