(i) Random Graphs. This will be a graduate level course on the Probabilistic Method and Random Graphs. It will be crosslisted (one can register under either number) with Math and Computer Science.
CSCI-GA 3033-007; Random Graphs: T 5:00 -- 6:50; ciww 317
MATH-GA 2932.002 Advanced Topics in Probability (Random Graphs): T 5:00 -- 6:50; ciww 317
(ii) Algebra II. Undergraduate V63.0344, MW 11-12:15.
Queries about either course should be emailed directly to me. These files will be updated as more information becomes available.
Click here for the frontcover front cover with a great picture of Uncle Paul
Click here for a richgetricher new Probabilistic Lens on Preferential Attachment
Click here for a phasetransition new chapter on the Erdos-Renyi Phase Transition, with particular emphasis on the Critical Window.
Click for more, available from archives here Click here Hannah1 Hannah2 Hannah3 Hannah4 for our most beautiful and most attentive reader. She's a fox! And, in strong competition: johanna SPECIAL OFFER: Yes, your child (grandchild, niece, nephew, sibling) can have an Erdos Number of 1+\sqrt{-1}! Just send a photo of him/her absorbed in reading/playing/teething our book and I'll post it!
Click for family photos, or a photo of Paul Erdos.
Robin Moser, a student of Emo Welzl (ETH), has given an algorithmic implementation of the Lovasz Local Lemma. A rough explanation:
postscript LaTeX pdf Click for Moser's paper with Gabor Tardos .
Nikhil Bansal (at TU Eindhoven (Holland)) has given an algorithmic implementation of my result that given any n sets on n points there is a 2-coloring with all discrepencies less than 6 \sqrt{n}. I had long conjectured that no algorithm would exist. Semidefinite Programming is a key ingredient. His preprint, Constructive Algorithms for Discrepancy Minimization, is available on arXiv. Click for Bansal's paper . or here
postscript LaTeX pdf for my own rough explanation.
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