![Lecture 7 (part 2): Subgradient method [out of focus]](https://i.ytimg.com/vi/2Lftnn1w8FA/mqdefault.jpg)
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Last Updated: October 1, 2026
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Okay so that was the end of our Um okay another thing we get from this balance is actually the convergence rate of I recommend you watch in 1.25x or 1.5x to not waste time. In this video we start looking at non-smooth optimization. We take a look at the subdifferential set and several examples of ... Um I'm going to talk about subradiant and This is a practice run of my masters seminar presentation at the working group for nonlinear optimization in the mathematics ... Note: sound cuts out for last 20 minutes or so, sorry! Hope you will enjoy this video. I know my voiceover is lacking some emotion but i will try my best to improve that for my next video. I'm sorry for this video being out of focus. Please refer to the course website for slides and notes. Up K times faster basically in the lran relaxation algorithm at least the F of X bar it is finite it's less than infinity okay an element V in R is current a ... and Almir Mutapcic Name of the paper:
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