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# AccAltProj for RPCA
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This is the Matlab code repo for a fast provable non-convex Robust Principal Component Analysis (RPCA) algorithm introduced in [1], which has theoretical global linear convergence guarantee and high robustness in practice.
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###### To display the math symbols properly, one may have to install a MathJax plugin. For example, [MathJax Plugin for Github](https://chrome.google.com/webstore/detail/mathjax-plugin-for-github/ioemnmodlmafdkllaclgeombjnmnbima?hl=en).
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## Robust Principal Component Analysis
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In this project, we focus on RPCA problem under fully observed setting, that is about separating a low rank matrix $L\in \mathbb{R}^{m\times n}$ and a sparse outlier matrix $S\in \mathbb{R}^{m\times n}$ from their sum $D = L + S$.
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