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Last Updated: October 16, 2026
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I recommend you watch in 1.25x or 1.5x to not waste time. 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. In this talk spanning about 36 minutes we discuss an issue which lies at the heart of modern convex optimization algorithms. Yinyu Ye, Stanford University Mini-symposium on Sensor Network Localization and Dynamical Distance Geometry ... In this video we start looking at non-smooth optimization. We take a look at the Ryan Tibshirani @ Stats, CMU. stat.cmu.edu/~ryantibs/convexopt/ Optimization for Data Science - Lec03 Note: sound cuts out for last 20 minutes or so, sorry! In this video we discuss the notion of a descent direction for a nondifferentiable convex optimization problem. We will show how ... We show that the sequence of the So, that is that is what we are going to do as far as
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