Nonlinear control - Revision history

en>Myasuda: added missing diacritic

2014-09-02T13:16:51Z

added missing diacritic

← Older revision		Revision as of 15:16, 2 September 2014
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	~~{{Unreferenced\|date=December 2009}}~~		Emilia Shryock is my name but you can contact me anything you like. Bookkeeping is her working day job now. Years ago we moved to North Dakota and I adore each working day residing right here. The thing she adores most is physique building and now she is trying to earn cash with it.<br><br>my site: [http://www.hooddirectory.com/how-you-can-cure-an-unpleasant-yeast-infection/ std testing at home]

	~~A '''computation tree'''~~ is ~~a representation for the computation steps of a [[non-deterministic Turing machine]] on a specified input~~. ~~A computation [[tree (graph theory)\|tree]]~~ is ~~a [[rooted tree]] of nodes~~ and ~~edges. Each node in the tree represents a single computational state, while~~ each ~~edge represents a transition to the next possible computation~~. The ~~number of nodes of the tree~~ is ~~the size of the tree~~ and ~~the length of the path from the root~~ to ~~a given node is the depth of the node. The largest depth of an output node is the depth of the tree. The output nodes of the tree are called leaves.~~

	~~In a computation tree each output node is labeled Yes or No~~. ~~If a tree, T, with an input space X, if~~ <~~math~~> ~~x \in X~~ </~~math> and the path for x ends in node labeled yes, then the input x is accepted~~. ~~Else it is rejected~~.

	~~The depth of the computation tree for a given input is the [[computation time]] for the Turing machine on that input.~~

	One of the primary methods of showing that a computational problem ''L'' is [[complete (complexity)\|complete]] for a given [[complexity class]] ''C'' is to show that the computation tree of any algorithm in ''C'' can ~~be directly analyzed in terms of ''L''.~~

	~~{{DEFAULTSORT:Computation Tree}}~~
	~~[[Category:Computational complexity theory]~~]

en>Citation bot: [458]Add: issue, series, editor1-last, editor1-first, isbn. | User-activated.

2013-09-28T22:00:29Z

[458]Add: issue, series, editor1-last, editor1-first, isbn. | User-activated.

← Older revision		Revision as of 00:00, 29 September 2013
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	The ~~title~~ of the ~~author~~ is ~~Jayson~~. ~~Her family members life in Alaska but her husband desires love psychic ([http://Checkmates~~.Co.~~za/index~~.~~php?do=~~/~~profile-56347/info/ Checkmates~~.Co.za]~~) them to transfer~~. It'~~s not a common thing but what she likes doing~~ is ~~to play domino but she doesn't have~~ [~~http://alles-herunterladen.de/excellent-advice-~~for~~-picking-the-ideal-hobby/ telephone psychic~~] the ~~time recently. Since I was 18 I~~'~~ve been operating as a bookkeeper but quickly my spouse and I will begin our own business~~.~~<br><br>my page free online tarot card readings (~~[~~https~~:~~//www.machlitim.org.il/subdomain/megila/end/node/12300 he said~~])		{{Unreferenced\|date=December 2009}}

			A '''computation tree''' is a representation for the computation steps of a [[non-deterministic Turing machine]] on a specified input. A computation [[tree (graph theory)\|tree]] is a [[rooted tree]] of nodes and edges. Each node in the tree represents a single computational state, while each edge represents a transition to the next possible computation. The number of nodes of the tree is the size of the tree and the length of the path from the root to a given node is the depth of the node. The largest depth of an output node is the depth of the tree. The output nodes of the tree are called leaves.

			In a computation tree each output node is labeled Yes or No. If a tree, T, with an input space X, if <math> x \in X </math> and the path for x ends in node labeled yes, then the input x is accepted. Else it is rejected.

			The depth of the computation tree for a given input is the [[computation time]] for the Turing machine on that input.

			One of the primary methods of showing that a computational problem ''L'' is [[complete (complexity)\|complete]] for a given [[complexity class]] ''C'' is to show that the computation tree of any algorithm in ''C'' can be directly analyzed in terms of ''L''.

			{{DEFAULTSORT:Computation Tree}}
			[[Category:Computational complexity theory]]

en>Dohn joe: update wikilink

2012-07-04T22:59:22Z

update wikilink

New page

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