Readings

Reading Lists

Books

• Optimization

• Machine Learning

Writing

• 漫谈如何写好一篇英文科技论文-陈关荣院士

• 机器翻译学术论文写作方法和技巧-刘洋

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 translation

• Peter Ochs et al. iPiano: Inertial Proximal Algorithm for Nonconvex Optimization.
  Note: Homepage   seminar-ipiano   Slides   Codes

• Donghwan 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

• Superiorization and Perturbation Resilience of Algorithms: A Bibliography compiled and continuously updated by Yair Censor.

• 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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