Pylops

* Added ``conj`` method to ``pylops.LinearOperator``
* Added ``pylops.basicoperators.Kronecker``,
``pylops.basicoperators.Roll``, and
``pylops.basicoperators.Transpose`` operators
* Added ``pylops.signalprocessing.Fredholm1`` operator
* Added ``pylops.optimization.sparsity.SPGL1`` and
``pylops.optimization.sparsity.SplitBregman`` solvers
* Sped up ``pylops.signalprocessing.Convolve1D`` using
``scipy.signal.fftconvolve`` for multi-dimensional signals
* Changes in implementation of ``pylops.waveeqprocessing.MDC`` and
``pylops.waveeqprocessing.Marchenko`` to take advantage of primitives
operators
* Added ``epsRL1`` option to ``pylops.avo.poststack.PoststackInversion``
and ``pylops.avo.prestack.PrestackInversion`` to include
TV-regularization terms by means of
``pylops.optimization.sparsity.SplitBregman`` solver

* Added ``numba`` engine to ``pylops.basicoperators.Spread`` and
``pylops.basicoperators.Radon2D`` operators
* Added ``pylops.signalprocessing.Radon3D`` operator
* Added ``pylops.signalprocessing.Sliding2D`` and
``pylops.signalprocessing.Sliding3D`` operators
* Added ``pylops.signalprocessing.FFTND`` operator
* Added ``pylops.signalprocessing.Radon3D`` operator
* Added ``niter`` option to ``pylops.LinearOperator.eigs` method
* Added ``show`` option to ``pylops.optimization.sparsity.ISTA`` and
``pylops.optimization.sparsity.FISTA`` solvers
* Added ``pylops.waveeqprocessing.seismicinterpolation``,
``pylops.waveequprocessing.waveeqdecomposition` and
``pylops.waveequprocessing.lsm`` submodules
* Added tests for ``engine`` in various operators
* Added documentation regarding usage of ``pylops`` Docker container

* 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 ``Interp`` operator
* Added ``Spread`` operator
* Added ``Radon2D`` operator

* Added ``eigs`` and ``cond`` methods to ``LinearOperator``
to 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``)
to be consistent with default dtypes used by numpy (and scipy) for real and
complex floating point numbers.
* Added ``Flip`` operator
* Added ``Symmetrize`` operator
* Added ``Block`` operator
* Added ``Regression`` operator performing polynomial regression
and modified ``LinearRegression`` to be a simple wrapper of
the former when ``order=1``
* Modified ``pylops.basicoperators.MatrixMult`` operator to work with both
numpy ndarrays and scipy sparse matrices
* Added ``pylops.avo.prestack.PrestackInversion`` routine
* Added data weight optional input to ``NormalEquationsInversion``
and ``RegularizedInversion`` solvers
* Added ``IRLS`` solver

* Added ``CausalIntegration`` operator.

* Changed module from ``lops`` to ``pylops`` for consistency with library name (and pip install).
* Removed quickplots from utilities and ``matplotlib`` from requirements of *PyLops*.