Basic affine jump diffusion - Revision history

en>Rjwilmsi: /* References */Added 2 dois to journal cites using AWB (10094)

2014-05-05T16:48:50Z

References: Added 2 dois to journal cites using AWB (10094)

@@ Line 1: / Line 1: @@
-[[Image:Dense subgraph.png|thumb|An example of a graph <math> G </math> with density <math> d_G=1.375 </math> and it's densest subgraph induced by the vertices <math> b,c,d,e </math> and <math> h </math> in red with density <math> 1.4 </math>]]
+Hello, I'm Clinton, a 23 year old from Boda Glasbruk, Sweden.<br>My hobbies include (but are not limited to) Geocaching, Model Aircraft Hobbies and watching 2 Broke Girls.<br>xunjie 不変62,88ランド/ kgの価格を維持する61,42ランド/キロで引けた。
+あなたは出勤でもできる逛街しも着て出かけたが、
-In [[computer science]] the notion of highly connected subgraphs appears frequently. This notion can be formalized as follows. Let <math> G=(E,V)  </math> be an [[undirected graph]] and let <math> S=(E_S,V_S)</math> be a [[Glossary of graph theory#Subgraphs|subgraph]] of <math> G </math>. Then the ''density'' of <math> S </math> is defined to be <math> d_S = {|E_S|\over|V_S|} </math>.
+とても楽しいの靴のプレゼントを持って来る。 [http://giselectronica.com/css/rayban.html �쥤�Х� �������ե��`��` ��] 環境に配慮したソフトと足の敏感な部分のそれぞれは非常に快適であることを確実にするために内側に縫い付けられない縫い目です。
+有名なアメリカのファッションブランドウールリッチウールミルズデザイナーは、
-The densest subgraph problem is that of finding a subgraph of maximum density. In 1984, [[Andrew V. Goldberg]] developed a polynomial time algorithm to find the maximum density subgraph using a [[max flow]] technique.
+〜鳥を取らなければならないだろう！ ！ ！中国の靴業界に根ざした靴業界のeコマースサミット2009から（中国語）靴とアパレル業界のeコマースサミット第五に、 [http://www.equityfair.ch/gzd/jr/mall/shoe/newbalance/ �˥�`�Х�� ͨ؜] サポートするための第一級の検査検疫技術サービスプラットフォーム。
+このコートには十分魅力的なボックス全体パーティー - （明るい赤の精神でピカソのファッション）。
-==Densest <math> k </math> subgraph==
+それぞれの伝説の中で情熱を作成するために私の心に、[http://www.equityfair.ch/gzd/jr/mall/shoe/newbalance/ �˥�`�Х�� ���˩`���` ���] 強いとされているファッションセンス。
-There are many variations on the densest subgraph problem. There is the densest <math> k </math> subgraph problem, where the objective is to find the maximum density subgraph on exactly <math> k </math> vertices. This problem is known to be NP-Hard by a reduction from the [[clique problem]]. The densest <math> k </math> subgraph problem is NP-Complete even in planar graphs by a reduction from the connected vertex cover problem on planar graphs with maximum degree 4. There does not exist a [[polynomial-time approximation scheme]] (PTAS) for the densest <math> k </math> subgraph problem this is by a reduction from the Minimum Distance of Code problem.
+男性を開始しました。
+子どもたちの健全な成長のコアコンセプトと組み合わせた国際市場に接する強力なブランドの背景に頼ってブランド哲学、
-==Densest at most <math> k </math> subgraph==
+ナイキフリーは+最も2012年の新しい靴が再びナイキ圧倒靴本体の重量を減らすために、 [http://citruscontrols.com/Consulting/shop/celine.html ����`�� ؔ�� 2014����]

en>LCS check at 20:08, 12 March 2013

2013-03-12T20:08:14Z

← Older revision		Revision as of 22:08, 12 March 2013
Line 1:		Line 1:
	~~Fishing is probably one~~ of ~~the most practical subjects someone can learn about~~. ~~If you learn how to fish, then that means you learn how to provide for yourself for~~ the ~~rest of your life. Yes~~, ~~you can just go to the grocery store and get food~~, ~~but fishing is something that everyone should learn about~~, and ~~this article~~ can ~~do just that for you~~.<br><br>~~Stream fisherman would~~ be ~~wise to start their fishing trips downstream~~, ~~and make their way upstream as the day progresses. This is simply because fish tend to face against the direction~~ of ~~the current. By moving upstream you are lowering your chances~~ of ~~being seen or heard by your prey.~~<br><br>~~To improve your success while fishing, avoid "hot spots" or busy fishing locales~~. ~~You are more likely to catch fish in waters that haven~~'~~t been stirred up by other boats. If you must fish near others, use a different type or different color~~ of ~~bait to make your offer more appealing.~~<br><br>~~When using live bait~~ to ~~fish with,~~ be ~~sure~~ that ~~you bring~~ a ~~variety~~ of ~~bait~~. ~~Certain fish prefer one kind of bait~~, ~~while another fish may prefer another~~. ~~You may want~~ to ~~visit~~ a ~~bait shop that offers a number of different bait prior to going~~ on ~~your fishing adventure~~.<br><br>~~While learning to fish~~, ~~get in~~ the ~~habit of observing your surroundings. You may start~~ to ~~notice correlations between environmental elements, and~~ the ~~luck you have with catching fish~~. ~~For instance, if you hear frogs, there may~~ be ~~bass nearby. Look for clues in~~ the ~~weather patterns, sights, and sounds around you~~.<br><br>~~In Spring, during~~ the ~~early morning hours fish do not bite~~. ~~At this time the water is too cold and the sun~~ does not ~~heat it up because~~ the ~~sun~~ is ~~low,~~ the ~~rays simply bounce off~~ of ~~the water~~. ~~Fish will be biting soon, though. After thaw, wait about a week until~~ the ~~water turns over and the temperature gets up to 39.2 degrees.~~<br><br>~~If you are taking a child with you on a fishing trip then you need~~ to ~~make~~ the ~~trip much shorter than the ones that you are normally used to taking~~. ~~If you make the trip too long~~ and ~~the child gets bored~~ then ~~they~~ will ~~not want~~ to ~~go on another fishing trip in~~ the ~~future~~.<br><br>~~As you now understand, fishing isn't~~ a ~~hard subject~~ to ~~learn~~. ~~Anyone can become good at fishing in a short period~~ of ~~time~~. ~~It's great going outside and learning how to catch~~ a ~~meal for yourself~~. ~~It builds character~~ and ~~lets you enjoy a relaxing hobby that you and a good friend can enjoy.<br><br>In case you have any kind~~ of ~~issues with regards to in which~~ in ~~addition to the best way to utilize [http://www~~.~~latestsms~~.~~in/raksha~~-~~bandhan~~-~~sms~~.~~htm Love sms]~~, ~~you are able to e-mail us at our page~~.		[[Image:Dense subgraph.png\|thumb\|An example of a graph <math> G </math> with density <math> d_G=1.375 </math> and it's densest subgraph induced by the vertices <math> b,c,d,e </math> and <math> h </math> in red with density <math> 1.4 </math>]]

			In [[computer science]] the notion of highly connected subgraphs appears frequently. This notion can be formalized as follows. Let <math> G=(E,V) </math> be an [[undirected graph]] and let <math> S=(E_S,V_S)</math> be a [[Glossary of graph theory#Subgraphs\|subgraph]] of <math> G </math>. Then the ''density'' of <math> S </math> is defined to be <math> d_S = {\|E_S\|\over\|V_S\|} </math>.

			The densest subgraph problem is that of finding a subgraph of maximum density. In 1984, [[Andrew V. Goldberg]] developed a polynomial time algorithm to find the maximum density subgraph using a [[max flow]] technique.

			==Densest <math> k </math> subgraph==
			There are many variations on the densest subgraph problem. There is the densest <math> k </math> subgraph problem, where the objective is to find the maximum density subgraph on exactly <math> k </math> vertices. This problem is known to be NP-Hard by a reduction from the [[clique problem]]. The densest <math> k </math> subgraph problem is NP-Complete even in planar graphs by a reduction from the connected vertex cover problem on planar graphs with maximum degree 4. There does not exist a [[polynomial-time approximation scheme]] (PTAS) for the densest <math> k </math> subgraph problem this is by a reduction from the Minimum Distance of Code problem.

			==Densest at most <math> k </math> subgraph==
			The objective of the densest at most <math> k </math> problem is to find the maximum density subgraph on at most <math> k </math> vertices. Anderson and Chellapilla showed that if there exists an <math> \alpha </math> approximation for this problem then that will lead to an <math> \Theta(\alpha ^2) </math> approximation for the densest <math> k </math> subgraph problem.

			==Densest at least <math> k </math> subgraph==
			The densest at least <math> k </math> problem is defined similarly to the densest at most <math> k </math> subgraph problem. There is a 2-approximation due to Anderson. But the complexity of this problem is still unknown.

			==References==
			{{refbegin\|colwidth=30em}}
			*{{citation
			\| last = Goldberg \| first = A. V.
			\| journal = Technical report
			\| title = Finding a maximum density subgraph
			\| year = 1984}}.
			*{{citation
			\| last1 = Feige \| first1 = U.\| authorlink1 = Uriel Feige \| last2 = Kortsarz \| first2 = G. \|last3 = Peleg\| first3 = D. \| authorlink3 = David Peleg (computer scientist)
			\| journal = [[Algorithmica]]
			\| pages = 410–421
			\| title = The dense k-subgraph problem
			\| volume = 29
			\| year = 1997}}.
			*{{citation
			\| last1 = Keil \| first1 = J. \| last2 = Brecht \| first2 = T.
			\| journal = The Journal of Combinatorial Mathematics and Combinatorial Computing
			\| pages = 155–159
			\| title = The complexity of clustering in planar graphs
			\| volume = 9
			\| year = 1991}}.
			*{{citation
			\| last = Khot \| first = S. \| authorlink = Subhash Khot
			\| journal = [[SIAM Journal on Computing]]
			\| pages = 1025–1071
			\| title = Ruling out PTAS for graph min-bisection, dense k-subgraph, and bipartite clique
			\| volume = 36
			\| year = 2006}}.
			*{{citation
			\| last1 = Anderson \| first1 = R. \| last2 = Chellapilla \| first2 = K.
			\| journal = WAW
			\| pages = 25–36
			\| title = Finding dense subgraphs with size bounds
			\| year = 2009}}.
			*{{citation
			\| last = Anderson \| first = R.
			\| journal = CoRR
			\| title = Finding large and small dense subgraphs
			\| year = 2007}}.
			*{{citation
			\| last1 = Khuller \| first1 = S. \| last2 = Saha \| first2 = B.
			\| journal = The International Colloquium on Automata, Languages and Programming
			\| title = On finding dense subgraphs
			\| year = 2009}}.
			{{refend}}

			[[Category:Graph theory]]

en>Melcombe: wrong pipe, reduce unneeded/unexpalined notation

2012-07-13T10:14:44Z

wrong pipe, reduce unneeded/unexpalined notation

New page

Fishing is probably one of the most practical subjects someone can learn about. If you learn how to fish, then that means you learn how to provide for yourself for the rest of your life. Yes, you can just go to the grocery store and get food, but fishing is something that everyone should learn about, and this article can do just that for you. Stream fisherman would be wise to start their fishing trips downstream, and make their way upstream as the day progresses. This is simply because fish tend to face against the direction of the current. By moving upstream you are lowering your chances of being seen or heard by your prey. To improve your success while fishing, avoid "hot spots" or busy fishing locales. You are more likely to catch fish in waters that haven't been stirred up by other boats. If you must fish near others, use a different type or different color of bait to make your offer more appealing. When using live bait to fish with, be sure that you bring a variety of bait. Certain fish prefer one kind of bait, while another fish may prefer another. You may want to visit a bait shop that offers a number of different bait prior to going on your fishing adventure. While learning to fish, get in the habit of observing your surroundings. You may start to notice correlations between environmental elements, and the luck you have with catching fish. For instance, if you hear frogs, there may be bass nearby. Look for clues in the weather patterns, sights, and sounds around you. In Spring, during the early morning hours fish do not bite. At this time the water is too cold and the sun does not heat it up because the sun is low, the rays simply bounce off of the water. Fish will be biting soon, though. After thaw, wait about a week until the water turns over and the temperature gets up to 39.2 degrees. If you are taking a child with you on a fishing trip then you need to make the trip much shorter than the ones that you are normally used to taking. If you make the trip too long and the child gets bored then they will not want to go on another fishing trip in the future. As you now understand, fishing isn't a hard subject to learn. Anyone can become good at fishing in a short period of time. It's great going outside and learning how to catch a meal for yourself. It builds character and lets you enjoy a relaxing hobby that you and a good friend can enjoy. In case you have any kind of issues with regards to in which in addition to the best way to utilize [http://www.latestsms.in/raksha-bandhan-sms.htm Love sms], you are able to e-mail us at our page.