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| {{Infobox Algorithm
| | There are some methods by which you can easily traffic with the website. Get hold of more traffic to your site very rapidly there is one option. [http://www.trafficfaze.com/ Buy website traffic] through the pay per click (buy web site traffic) servicing. The top services from where you can find more traffic are Bing search, bing search business promoting. The main advantage to use the top PPC ( pay per click) search engines are persons can buy website traffic from most used motors like google.<br><br> |
| |image =
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| |class=[[Sorting algorithm]]
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| |data=[[Array data structure|Array]]
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| |time=Unbounded<ref name="Fun07"/>
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| |average-time={{math|''O''(n × n!)}}<ref name="Fun07"/>
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| |best-time={{math|''Ω''(n)}}<ref name="Fun07"/>
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| |space={{math|''O''(n)}}
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| |optimal=No
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| }}
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| In [[computer science]], '''bogosort'''<ref name="Fun07"/><ref name="KSFS">{{citation
| | Think to be able to the last web search you could. What phrases or keywords did you use? What keywords or phrases may be used to describe or find your business website?<br><br>You to help work hard in order to be similar to the big bosses within the industry. You have encourage products well, and earn a good reputation. You should invest time, effort, and a little benefit your chosen business. Moreover, you to help know everything about affiliate marketing and pr.<br><br><br><br>However one does want to post pictures of your newborn through the web and call it Pics from Momma or whatever, the actual reason your method. Make it appealing and inspiring on the other hand is an individual blog and whether someone thinks big be news or not is their business. Should you are a journalism student and looking to get you wet in communications and media, you'll need best possess a website in the works or otherwise a blog with local or hyperlocal content to deliver in the following. You would consider an expert in your field.<br><br>Produce more articles. Writing and submitting 20-50 articles will not do much for your marketing designs. If you want to succeed of the pack and train convince men and women who you make the perfect source of information, you have strive to write and submit at least 5 articles per holiday. You can do this by producing short articles (300-600 words), extending your writing hours, by way of staying focused and motivated all in the course of.<br><br>Usually the owner or designer of packed with is anybody designated to drive a car web traffic into the site. The main ingredient in generating more web traffic traffic is the google search. Of coarse, you will use advertising, but it's going to are priced at. Using the motors to generate targeted (interested in your product) web traffic is the least expensive method known.<br><br>For one of the most part, realize that some submit your content to ezines that accept text format with some HTML taking part. You can use some HTML additional medications your article look an additionally organized and just include links when relevant. Further, be sure to add at least one link in the "resource" section (short bio) that usually a separate paragraph area of study. Otherwise, you can you can put bio end of it of the number one body i have told.<br><br>Typically, a making money package will teach you the way to riches through advertising and marketing. It will give you tips about what products sell well. You'll be taught one step at a time, anyone will have the ability to keep upward. You will even be given links to merchants who sell various products. In addition, you will be taught ways to receive a large amount of On-line traffic on web page wherein you promote items. |
| | last1 = Kiselyov | first1 = Oleg
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| | last2 = Shan | first2 = Chung-chieh
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| | last3 = Friedman | first3 = Daniel P.
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| | last4 = Sabry | first4 = Amr
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| | contribution = Backtracking, interleaving, and terminating monad transformers: (functional pearl)
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| | doi = 10.1145/1086365.1086390
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| | pages = 192–203
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| | series = SIGPLAN Notices
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| | title = Proceedings of the Tenth ACM SIGPLAN International Conference on Functional Programming (ICFP '05)
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| | url = http://www.dicta.org.uk/programming/LogicT.pdf
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| | year = 2005}}</ref> (also '''stupid sort'''<ref>E. S. Raymond. "bogo-sort". ''The New Hacker’s Dictionary''. MIT Press, 1996.</ref> or '''slowsort'''<ref name="Naish86">{{citation
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| | last = Naish | first = Lee
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| | contribution = Negation and quantifiers in NU-Prolog
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| | doi = 10.1007/3-540-16492-8_111
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| | pages = 624–634
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| | publisher = Springer-Verlag
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| | series = Lecture Notes in Computer Science
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| | title = Proceedings of the Third International Conference on Logic Programming
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| | volume = 225
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| | year = 1986}}.</ref><ref name="Naish95">{{citation
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| | last = Naish | first = Lee
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| | date = June 1995
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| | location = Melbourne, Australia
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| | publisher = Department of Computer Science, University of Melbourne
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| | series = Tech. Report 95/16
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| | title = Pruning in logic programming
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| | id = {{citeseerx|10.1.1.54.2347}} }}.</ref>) is a particularly ineffective [[sorting algorithm]] based on the [[Trial and error|generate and test]] paradigm. It is not useful for sorting, but may be used for educational purposes, to contrast it with other more realistic algorithms; it has also been used as an example in [[logic programming]].<ref name="KSFS"/><ref name="Naish86"/><ref name="Naish95"/> If bogosort were used to sort a [[deck of cards]], it would consist of checking if the deck were in order, and if it were not, throwing the deck into the air, picking the cards up at random, and repeating the process until the deck is sorted. Its name comes from the word ''bogus''.<ref>{{cite web|title=Bogosort|url=http://www.catb.org/jargon/html/B/bogo-sort.html|work=The Jargon File 4.4.8|accessdate=11 April 2013|year=2003}}</ref>
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| ==Description of the algorithm==
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| The following is a description of the algorithm in [[pseudocode]]:
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| '''while not''' isInOrder(deck):
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| shuffle(deck)
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| ==Running time and termination==
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| This [[sorting algorithm]] is probabilistic in nature. If all elements to be sorted are distinct, the expected number of comparisons in the average case is [[Asymptotic analysis|asymptotically equivalent to]] <math>(e-1) n!</math>, and the expected number of swaps in the average case equals <math>(n-1) n!</math>.<ref name="Fun07">{{citation
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| | last1 = Gruber | first1 = H.
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| | last2 = Holzer | first2 = M.
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| | last3 = Ruepp | first3 = O.
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| | contribution = Sorting the slow way: an analysis of perversely awful randomized sorting algorithms
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| | doi = 10.1007/978-3-540-72914-3_17
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| | pages = 183–197
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| | publisher = Springer-Verlag
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| | series = Lecture Notes in Computer Science
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| | title = 4th International Conference on Fun with Algorithms, Castiglioncello, Italy, 2007
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| | url = http://www.hermann-gruber.com/data/fun07-final.pdf
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| | volume = 4475}}.</ref> The expected number of swaps grows faster than the expected number of comparisons, because if the elements are not in order, this will usually be discovered after only a few comparisons no matter how many elements there are, but the work of shuffling the collection is proportional to its size. In the worst case, the number of comparisons and swaps are both unbounded, for the same reason that a tossed coin might turn up heads any number of times in a row.
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| The best case occurs if the list as given is already sorted; in this case the expected number of comparisons is <math>n-1</math>, and no swaps at all are carried out.<ref name="Fun07"/>
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| For any collection of fixed size, the expected running time of the algorithm is finite for much the same reason that the [[infinite monkey theorem]] holds: there is some probability of getting the right permutation, so given an unbounded number of tries it will [[almost surely]] eventually be chosen.
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| ==Related algorithms==
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| ;Gorosort: is a sorting algorithm introduced in the 2011 [[Google Code Jam]].<ref>[http://code.google.com/codejam/contest/dashboard?c=975485#s=p3 Google Code Jam 2011, Qualification Rounds, Problem D]</ref> As long as the list is not in order, a subset of all elements is randomly permuted. If this subset is optimally chosen each time this is performed, the [[expected value]] of the total number of times this operation needs to be done is equal to the number of misplaced elements.
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| ;Bogobogosort: is an algorithm that was designed not to succeed before the [[heat death of the universe]] on any sizable list. It works by implementing the bogosort on the first two elements in the list. If they are in order, then it bogosorts the first three elements, and so on, increasing by one until the entire list is sorted. Should the list not be in order at any point, the sort starts over with the first two elements.
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| ;Bozosort: is another sorting algorithm based on random numbers. If the list is not in order, it picks two items at random and swaps them, then checks to see if the list is sorted. The running time analysis of a bozosort is more difficult, but some estimates are found in H. Gruber's analysis of "perversely awful" randomized sorting algorithms.<ref name="Fun07"/> O(n!) is found to be the expected average case.
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| <!--It also faces the same pseudo-random problems as bogosort—it may never terminate in a real-world implementation.--> | |
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| ;{{anchor|Quantum bogosort}}Quantum Bogosort: An [[in-joke]] among some computer scientists is that [[quantum computing]] could be used to effectively implement a bogosort with a time complexity of O(n).<ref>[http://www.mathnews.uwaterloo.ca/Issues/mn11103/QuantumBogoSort.php mathNEWS Issue 111.3: Friday, October 23, 2009 - Quantum Bogosort]</ref> It uses true quantum randomness to randomly permute the list. The list is then inspected, and if it is not in order, the universe is destroyed. By the [[many-worlds interpretation]] of quantum physics, the quantum randomization spawns <math>2^N</math> (where N is the number of random bits) universes and one of these will be such that this single shuffle had produced the list in sorted order. Quantum physics prohibits the useful implementation of such an algorithm, since (assuming the many worlds interpretation is correct) all but one of the spawned universes will have the algorithm fail.
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| == See also ==
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| * [[Las Vegas algorithm]]
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| * [[Stooge sort]]
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| == References ==
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| <references/>
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| ==External links==
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| {{wikibooks|Algorithm Implementation|Sorting/Bogosort|Bogosort}}
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| * [[c2:BogoSort|BogoSort]] on [[WikiWikiWeb]]
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| * [http://richardhartersworld.com/cri_d/cri/2001/badsort.html Inefficient sort algorithms]
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| * [http://www.lysator.liu.se/~qha/bogosort/ Bogosort]: an implementation that runs on [[Unix-like]] systems, similar to the standard [[sort (Unix)|sort]] program.
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| * [http://github.com/versesane/algorithms-and-data-structures-in-c/tree/master/bogosort.c Bogosort] and [http://libjmmcg.cvs.sourceforge.net/viewvc/libjmmcg/libjmmcg/core/bogo_sort.hpp jmmcg::bogosort]: Simple, yet perverse, C++ implementations of the bogosort algorithm.
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| {{sorting}}
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| {{Use dmy dates|date=June 2011}}
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| [[Category:Sorting algorithms]]
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| [[Category:Comparison sorts]]
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| [[Category:Computer humor]]
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