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EECS 559 Lecture Notes
(No guarantee that they represent exactly what was covered in lecture.)

CURRENTLY THESE ARE THE W20 NOTES. THEY WILL BE GREATLY UPDATED FOR W27, BUT THEY CAN GIVE A SENSE OF THE COURSE TOPICS.
• 00. Introduction
• 01. Applications 1
• 02. Applications 2
• 03. Gradient-based methods
• 04. Majorize-minimize (MM) methods
• 05. Proximal methods
• 06. Alternating minimization
• 07. Duality / AL / ADMM
• 08. Stochastic gradient / subgradient methods
• 09. Misc. / Review

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