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[SQUEAKING] [RUSTLING] [CLICKING] JASON KU: Good morning, everybody. Hows everybody doing? Nice long weekend we just came from-- Im doing well. Im actually getting over a little cold. Aw-- yeah, unfortunately. But after this, I dont have anything else this week, so thats good. OK, so last time, last week, we talked about how-- we looked at the search problem that we talked about earlier that week and showed that, in a certain model of computation, where I could only compare two objects that Im storing in my-- that Im storing and get some constant number of outputs on what I could-- how I could identify these things, like equal, or less than, or something like that, then we drew a decision tree and we got this bound that, if I had n outputs, I would require my decision tree to be at least log n height. And so in this model, I cant find the things faster than log n time. But luckily, we are in a model of computation which has a stronger operation-- namely, random accessing. And