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http://www.scribd.com/doc/35539144/pnp12pt 上面的hold up 的話真要說老師是先知啊 ※ 引述《pangfeng (P老師)》之銘言: : ※ [本文轉錄自 hil 看板] : 作者: hil (隨機客) 看板: hil : 標題: [閒聊] NP versus P : 時間: Wed Jul 4 22:55:27 2007 : 自從 Computational Complexity Weblog 易手之後, : 「隨機客」覺得有趣的東西變少了,所以上去瀏覽的頻率也逐漸降低, : 難得發現一篇比較好玩的: : Down to 100% sure that P does not equal NP : http://weblog.fortnow.com/2007/06/down-to-100-sure-that-pne-np.html : In 1985 I was 120% sure that P\ne NP. Why? Scott gave a nice list of : reasons here. : In 1988 I was down to 110% sure that P\ne NP. Why? Because the Graph : Minor Theorem showed that many problems had faster algorithms than : previously thought. Example: : For all g, Determining if a graph G is it of genus g. can be : solved in O(n^3) time (constant depends on g). : Note that the Graph Minor Theorem involves some very deep math. It took : Robertson and Seymour many years to get the result. The papers are called : Graph Minors I, Graph Minors II, etc. and in there someplace (perhaps around : Graph minors XVII) is the graph minor theorem. I do not think that P=NP will : be shown by using the Graph Minor Theorem; however, the fact that some very : deep math lead to some problems having low complexity means that it could : happen again, perhaps to SAT. Hence my confidence in P\ne NP went from 120% : to 110%. : In 2007 I was down to 100% sure that P\ne NP. Why? Because Valiant used some : strange techniques to solve the following problem in polynomial time. : Given a monotone boolean planar formula in 3-CNF form determine if : the number of satisfying assignments is a multiple of 7. (NOTE- the : problem for multiple-of-2 is Parity-P complete and hence NP-hard). : Again, a surprising algorithmic technique leads to problems being easier : than we thought. To be fair, this is not a problem people looked at much : (if at all). But the technique employed are truly new and my concern is : that other truly new approaches may prove powerful enough to get SAT in P. : Neither NL closed under complementation nor Factoring in QP has made me : lower by percent belief that P\ne NP. But they were surprising results and : I can see someone else lowering theirs because of them. : So I'm down to 100% sure that P\ne NP. It will take a truly remarkable : result for me to go lower than that. Like a polynomial time algorithm for : SAT. --



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