Stanford EE364A Convex Optimization I Stephen Boyd I 2023 I Lecture 14

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Stephen Boyd
Professor of Electrical Engineering at Stanford University
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[@cihant5438]

When the algorithm is affine invariant, but the analysis is not, one can improve the analysis over all possible affine transformations. For example, if m changes with an affine transformation T, then you can optimize over all possible m(T), same with L(T).

[@debanjansengupta6606]

The website doesn't have the homeworks and other materials. Will they be available for the public? Or only the videos. I believe the programming assignments using CVXPy will be of great help to the audience.