Operator Discretization Library https://odlgroup.github.io/odl/
See the Release Notes for a list of changes.
From this version on, ODL can be installed with pip
from the Python package index.
Fix version number in setup.py
This is a short summary of the changes since version 0.1.0. See the detailed release notes for further information.
The (discretized) continuous Fourier Transform (FT) and the "pure" Discrete Fourier Transform (DFT) are implemented as operators, based on Numpy FFT or pyFFTW, with nearly complete support of the features of the wrapped libraries.
real
and imag
attributes of DiscreteLpVector
and FunctionSpaceVector
conj
for complex conjugation of the mentioned objectsFunctionSpace
This is the first "feature complete" release of ODL, with all core functionality. It contains:
as well as a wealth of utilities on these.
It also contains some core functionality for tomography problems: