v1.10.0

• Added tosparse method to pylops.LinearOperator.
• Added kind=linear in pylops.signalprocessing.Seislet operator.
• Added kind to pylops.basicoperators.FirstDerivative.
  operator to perform forward and backward (as well as centered)
  derivatives.
• Added kind to pylops.optimization.sparsity.IRLS
  solver to choose between data or model sparsity.
• Added possibility to use scipy.sparse.linalg.lobpcg in
  pylops.LinearOperator.eigs and pylops.LinearOperator.cond.
• Added possibility to use scipy.signal.oaconvolve in
  pylops.signalprocessing.Convolve1D.
• Added NRegs to pylops.optimization.leastsquares.NormalEquationsInversion
  to allow providing regularization terms directly in the form of H^T H.

v1.9.1

• Changed internal behaviour of pylops.sparsity.OMP when
  niter_inner=0. Automatically reverts to Matching Pursuit algorithm.
• Changed handling of dtype in pylops.signalprocessing.FFT and
  pylops.signalprocessing.FFT2D to ensure that the type of the input
  vector is retained when applying forward and adjoint.
• Added dtype parameter to the FFT calls in the definition of the
  pylops.waveeqprocessing.MDD operation. This ensure that the type
  of the real part of G input is enforced to the output vectors of the
  forward and adjoint operations.

v1.9.0

• Added pylops.waveeqprocessing.Deghosting and
  pylops.signalprocessing.Seislet operators
• Added hard and half thresholds in pylops.optimization.sparsity.ISTA
  and pylops.optimization.sparsity.FISTA solvers
• Added prescaled input parameter to pylops.waveeqprocessing.MDC
  and pylops.waveeqprocessing.Marchenko
• Added sinc interpolation to pylops.signalprocessing.Interp
  (kind == 'sinc')
• Modified pylops.waveeqprocessing.marchenko.directwave to
  to model analytical responses from both sources of volume injection
  (derivative=False) and source of volume injection rate
  (derivative=True)
• Added pylops.LinearOperator.asoperator method to
  pylops.LinearOperator
• Added pylops.utils.signalprocessing.slope_estimate function
• Fix bug in pylops.signalprocessing.Radon2D and
  pylops.signalprocessing.Radon3D when onthefly=True returning the
  same result as when onthefly=False

v1.8.0

• Added todense method to pylops.LinearOperator
• Added pylops.signalprocessing.Bilinear,
  pylops.signalprocessing.DWT, and
  pylops.signalprocessing.DWT2 operators
• Added pylops.waveeqprocessing.PressureToVelocity,
  pylops.waveeqprocessing.UpDownComposition3Doperator, and
  pylops.waveeqprocessing.PhaseShift operators
• Fix bug in pylops.basicoperators.Kronecker
  (see Issue #125)

v1.7.0

• Added pylops.basicoperators.Gradient,
  pylops.basicoperators.Sum,
  pylops.basicoperators.FirstDirectionalDerivative, and
  pylops.basicoperators.SecondDirectionalDerivative operators
• Added pylops._ColumnLinearOperator private operator
• Added possibility to directly mix Linear operators and numpy/scipy
  2d arrays in pylops.basicoperators.VStack and
  pylops.basicoperators.HStack and
  pylops.basicoperators.BlockDiagonal operators
• Added pylops.optimization.sparsity.OMP solver

v1.6.0

• Added pylops.signalprocessing.ConvolveND operator
• Added pylops.utils.signalprocessing.nonstationary_convmtx to create
  matrix for non-stationary convolution
• Added possibility to perform seismic modelling (and inversion) with
  non-stationary wavelet in pylops.avo.poststack.PoststackLinearModelling
• Create private methods for pylops.basicoperators.Block,
  pylops.avo.poststack.PoststackLinearModelling,
  pylops.waveeqprocessing.MDC to allow calling different operators
  (e.g., from pylops-distributed or pylops-gpu) within the method

v1.5.0

• 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 primitive
  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

v1.4.0

• 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.waveequprocessing.seismicinterpolation,
  pylops.waveequprocessing.waveeqdecomposition` and pylops.waveequprocessing.lsm`` submodules
• Added tests for engine in various operators
• Added documentation regarding usage of pylops Docker container

v1.3.0

• 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

v1.2.0

• Added eigs and cond methods to LinearOperator
  to estimate eigenvalues and conditioning number using scipy wrapping of
  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