Readings
Reading Lists
This page is still under construction, I will try to complete in an incremental manner.
Books
Writing
Websites
ECE236C-Optimization Methods for Large-Scale Systems (Spring 2019). Prof. L. Vandenberghe, UCLA
Matlab's tours. Codes: matlab-toolboxes
Convex Optimization: Fall 2019. Instructor: Ryan Tibshirani
AIMS South Africa Short Course on Optimization. Instructor: Stephen Becker
Convex Optimization: Fall 2019. Instructor: Zaiwen Wen
Article
S.Ruder. An overview of gradient descent optimization algorithms. arXiv preprint, arXiv:1609.04747. (2016).
Note: A version of Chinese translationPeter Ochs et al. iPiano: Inertial Proximal Algorithm for Nonconvex Optimization.
Note: Homepage   seminar-ipiano   Slides   CodesDonghwan Kim, Jeffrey A. Fessler. Another look at the fast iterative shrinkage/thresholding algorithm (FISTA). arXiv preprint, arXiv:1608.03861. (2016).
Variational Inequality
Federica Tinti. A MatLab collection of variational inequality problems.
Superiorization: theory and applications
Inverse Problems. Special issue on superiorization: theory and applications.
Manifold Optimization
Jiang Hu, Xin Liu, Zaiwen Wen, Yaxiang Yuan. A Brief Introduction to Manifold Optimization. arXiv preprint, arXiv:1906.05450. (2019).
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