Monthly Archives: January 2013

Announcement: lecture notes on optimization

This semester at Princeton I am going to teach a graduate course on ‘advanced optimization’. As you can see from the title, I’m allowing myself a lot of flexibility, and I will discuss various topics. The syllabus for the course … Continue reading

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Proof of the lower bound

Our proof of the lower bound for the clique number of random geometric graphs (see Theorem 1 in the previous post) is a little bit contrived, but it might actually have some value. Our approach can be described as follows. … Continue reading

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Clique number of random geometric graphs in high dimension

I would like to discuss now another class of random graphs, called random geometric graphs. In general a random geometric graph arises by taking $latex {n}&fg=000000$ i.i.d. random variables in some metric space, and then putting an edge between two of … Continue reading

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An unpleasant calculation?

At the end of my previous post I claimed that proving that $latex \sum_{s=2}^k \frac{{k \choose s} {n-k \choose k-s}}{{n \choose k}} 2^{{s \choose 2}} ,$ tends to $latex 0$ when $latex n$ tends to infinity and $latex k=(2-\epsilon)\log_2(n)$ was … Continue reading

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Welcome! (with random graphs)

Welcome to the ‘I’m a bandit’ blog! If you are curious about this title, you can check my newly published book. However, despite its name, this blog will not be about bandits, but rather about more general problems in optimization, … Continue reading

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