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The following content is provided under a Creative Commons license. Your support will help MIT OpenCourseWare continue to offer high quality educational resources for free. To make a donation or view additional materials from hundreds of MIT courses, visit MIT OpenCourseWare at ocw.mit.edu. PROFESSOR: Last lecture on sorting. Yay. And itamp;#39;s one of the coolest lectures on sorting, I would say. Weamp;#39;re going to talk about linear-time sorting, when itamp;#39;s possible and when itamp;#39;s not possible, and this lecture sort of follows the tried and tested mathematical structure which is theorem, proof, counterexample. So weamp;#39;re going to start with a theorem which is that sorting requires n lg n time at least in the worst case and weamp;#39;re going to then prove that in fact, you can get away with linear time sometimes. Both of these terms are correct, but theyamp;#39;re slightly different models of computation. Remember models of computation from lecture two? So