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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. Pierre Schaus legt uit hoe subgradiënt-algoritmen worden toegepast op constrained shortest path-problemen. Hierbij wordt ingegaan op het bijwerken van Lagrange-multiplicatoren en het beheren van haalbare versus niet-haalbare oplossingen tijdens het iteratieve optimalisatieproces. I recommend you watch in 1.25x or 1.5x to not waste time. This is a practice run of my masters seminar presentation at the working group for nonlinear optimization in the mathematics ... ... what we saw for gradient descent F of X bar it is finite it's less than infinity okay an element V in R is current This video derives the oracle complexity of In this video we start looking at non-smooth optimization. We take a look at Okay so that was the end of our subgradient lecture we're going to jump right into Okay so these are kind of two classic results on Chapter 5: Convex Numerical algorithms 5.1: ... novel distributed task assignment and optimal control
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