% FlexBox % % Author Information: % Hendrik Dirks % Institute for Computational and Applied Mathematics % University of Muenster, Germany % % Contact: hendrik.dirks@wwu.de % % % Version 1.03 % Date: 2016-07-14 % FlexBox is copyright ©2016 by Hendrik Dirks and is distributed under the terms of the GNU General Public License (GPL) version 3 (or later). % % If you plan to distribute the software (commercially or not). Please contact me for more information. %%%%%%%%%%%%%%%% %%% Citation %%% %%%%%%%%%%%%%%%% If you use this toolbox please use the following citation @Article{dirks2015flexbox, Title = {A Flexible Primal-Dual Toolbox}, Author = {Dirks, Hendrik}, Journal = {ArXiv e-prints}, Year = {2016}, Month = mar, Keywords = {Mathematics - Optimization and Control, Computer Science - Computer Vision and Pattern Recognition, Computer Science - Mathematical Software, I.4, G.1.6, G.4}, Primaryclass = {math.OC} } % A preprint of the article can be found at http://arxiv.org/abs/1603.05835 % Examples can be found in the 'examples' folder % In case you experience any problems, please create an issue at https://github.com/HendrikMuenster/flexBox/issues %%%%%%%%%%%%%%%%%%% %%% Compilation %%% %%%%%%%%%%%%%%%%%%% C++: To compile the C++ module, simply run the MATLAB script "compileMexModule.m" in the folder "CPP_module" CUDA: To compile the Cuda module, open the "compileCudaModule.m" and change the given PATH variables according to your computer. Afterwards, run "compileCudaModule.m" Issues for University of Münster users: There are some known problems for CUDA computers at the University of Münster. You may have to preload libraries. To do so, simply start Matlab with: env LD_PRELOAD="/usr/lib/x86_64-linux-gnu/libstdc++.so.6 /usr/local/cuda-7.5/lib64/libcudart.so.7.5 /usr/local/cuda-7.5/lib64/libcusparse.so.7.5" matlab %%%%%%%%%%%%%%%%% %%% Changelog %%% %%%%%%%%%%%%%%%%% 14.07.2016 (Version 1.03) - CUDA module added 07.04.2016 (Version 1.02) - Added FFT-based convolution operator, downsampling and concatenation operator - Added examples for deblurring and operator concatenation - Speed improvements for C++ version 31.03.2016 (Version 1.01) - generalized the concept of matrices to linear operators and created classes for gradient, diagonal, identity and zero operator for MATLAB and C++ version to improve speed and flexibility