Changelog¶

Version 1.9.1¶

Released on: 25/05/2020

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.

Released on: 13/04/2020

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

Released on: 12/01/2020

Released on: 10/11/2019

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

Released on: 10/08/2019

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.Block, pylops.avo.poststack.PoststackLinearModelling, pylops.waveeqprocessing.MDC to allow calling different operators (e.g., from pylops-distributed or pylops-gpu) within the method

Released on: 30/06/2019

Released on: 01/05/2019

Added numba engine to pylops.Spread and pylops.signalprocessing.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.waveeqprocessing.waveeqdecomposition and pylops.waveeqprocessing.lsm submodules
Added tests for engine in various operators
Added documentation regarding usage of pylops Docker container

Released on: 24/02/2019

Added fftw engine to pylops.signalprocessing.FFT operator
Added pylops.optimization.sparsity.ISTA and pylops.optimization.sparsity.FISTA sparse solvers
Added possibility to broadcast (handle multi-dimensional arrays) to pylops.Diagonal and pylops..Restriction operators
Added pylops.signalprocessing.Interp operator
Added pylops.Spread operator
Added pylops.signalprocessing.Radon2D operator

Released on: 13/01/2019

Added pylops.LinearOperator.eigs and pylops.LinearOperator.cond methods to estimate 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 pylops.Flip operator
Added pylops.Symmetrize operator
Added pylops.Block operator
Added pylops.Regression operator performing polynomial regression and modified pylops.LinearRegression to be a simple wrapper of pylops.Regression when order=1
Modified pylops.MatrixMult operator to work with both numpy ndarrays and scipy sparse matrices
Added pylops.avo.prestack.PrestackInversion routine
Added possibility to have a data weight via Weight input parameter to pylops.optimization.leastsquares.NormalEquationsInversion and pylops.optimization.leastsquares.RegularizedInversion solvers
Added pylops.optimization.sparsity.IRLS solver

Released on: 13/12/2018

Released on: 09/12/2018

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

Released on: 04/12/2018