Adding Elyot talk
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<eventdefs>
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<!-- Spring 2010 -->
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<eventitem date="2010-07-20" time="04:30 PM" room="MC2066" title="The Incompressibility Method">
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<short>
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In this talk, we shall explore the incompressibility method---an interesting and
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extremely powerful framework for determining the average-case runtime of
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algorithms. Within the right background knowledge, the heapsort question can be
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answered with an elegant 3-line proof.
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</short>
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<abstract>
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<p>Heapsort. It runs in $\Theta(n \log n)$ time in the worst case, and in $O(n)$
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time in the best case. Do you think that heapsort runs faster than $O(n
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\log n)$ time on average? Could it be possible that on most inputs,
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heapsort runs in $O(n)$ time, running more slowly only on a small fraction
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of inputs?</p>
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<p>Most students would say no. It "feels" intuitively obvious that heapsort
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should take the full $n \log n$ steps on most inputs. However, proving this
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rigourously with probabilistic arguments turns out to be very difficult.
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Average case analysis of algorithms is one of those icky subjects that most
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students don't want to touch with a ten foot pole; why should it be so
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difficult if it is so intuitively obvious?</p>
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<p>In this talk, we shall explore the incompressibility method---an interesting
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and extremely powerful framework for determining the average-case runtime of
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algorithms. Within the right background knowledge, the heapsort question
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can be answered with an elegant 3-line proof.</p>
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<p>The crucial fact is that an overwhelmingly large fraction of randomly
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generated objects are incompressible. We can show that the inputs to
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heapsort that run quickly correspond to inputs that can be compressed,
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thereby proving that heapsort can't run quickly on average. Of course,
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"compressible" is something that must be rigourously defined, and for this
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we turn to the fascinating theory of Kolmogorov complexity.</p>
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<p>In this talk, we'll briefly discuss the proof of the incompressibility
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theorem and then see a number of applications. We won't dwell too much on
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gruesome mathemtical details. No specific background is required, but
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knowledge of some of the topics in CS240 will be helpful in understanding
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some of the applications.</p>
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</abstract>
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</eventitem>
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<eventitem date="2010-07-13" time="04:30 PM" room="MC2066" title="Halftoning and Digital Art">
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<short><p>Edgar Bering will be giving a talk titled: Halftoning and Digital Art</p></short>
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<abstract><p>Halftoning is the process of simulating a continuous tone image
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