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All sorts of data science & computer science programs for future reference

License: MIT License

Python 5.58% Shell 0.49% CMake 0.05% C++ 9.10% MATLAB 2.05% HTML 74.41% TSQL 0.05% Jupyter Notebook 8.27%
gradient-descent non-linear-optimization data-science cvx projected-gradients knn rocchio-algorithm pca-analysis cifar10 image-deblurring

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my_projects's Issues

Confused about the update of x in FISTA algorithm of the image deblurring part

Hello.
The line 31 in fista.m says that x = y-((1/L )*grad).
It seems that the shrinkage/soft-threshold step is not involved.
According to "A FAST ITERATIVE SHRINKAGE-THRESHOLDING ALGORITHM" , the result of " y-((1/L )*grad)" should pass through the shrinkage operator .
I wish you could check if there is anything wrong in this step.

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