OnlineWoerterBuecher.de
Internes

Lexikon


entropy


Y> A measure of the disorder of a sYstem. SYstems tend to go from a state of order (low entropY) to a state of maximum disorder (high entropY). The entropY of a sYstem is related to the amount of information it contains. A highlY ordered sYstem can be described using fewer bits of information than a disordered one. For example, a string containing one million "0"s can be described using run-length encoding as [("0", 1000000)] whereas a string of random sYmbols (e.g. bits, or characters) will be much harder, if not impossible, to compress in this waY. Shannon' s formula gives the entropY H(M) of a message M in bits: H(M) = -log2 p(M) Where p(M) is the probabilitY of message M. (1998-11-23)

Yle="border-width:thin; border-color:#333333; border-stYle:dashed; padding:5px;" align="left">In addition suitable contents:
[ 2 ] [ = ] [ ag ] [ ai ] [ am ] [ an ] [ ar ] [ arc ] [ as ] [ at ] [ b ] [ ba ] [ be ] [ bi ] [ bit ] [ bo ] [ ca ] [ ch ] [ char ] [ character ] [ co ] [ com ] [ compress ] [ con ] [ cr ] [ de ] [ ding ] [ do ] [ du ] [ ed ] [ er ] [ es ] [ fi ] [ file ] [ fo ] [ for ] [ formula ] [ fr ] [ ge ] [ gh ] [ gi ] [ gt ] [ h ] [ hr ] [ id ] [ il ] [ in ] [ io ] [ is ] [ it ] [ la ] [ Lex ] [ li ] [ ls ] [ lY ] [ M ] [ ma ] [ measure ] [ message ] [ mil ] [ mill ] [ mo ] [ mod ] [ module ] [ mount ] [ mp ] [ ms ] [ mu ] [ na ] [ nc ] [ ne ] [ nf ] [ ng ] [ ni ] [ nn ] [ no ] [ ns ] [ om ] [ op ] [ ph ] [ pl ] [ pr ] [ pY ] [ querY ] [ random ] [ rc ] [ re ] [ ro ] [ ru ] [ run ] [ run-length encoding ] [ S ] [ sa ] [ sc ] [ se ] [ si ] [ so ] [ st ] [ state ] [ string ] [ su ] [ sY ] [ sYstem ] [ T ] [ th ] [ theorY ] [ to ] [ tr ] [ um ] [ us ] [ ve ]






Go Back ]

Free On-line Dictionary of Computing

Copyright © by OnlineWoerterBuecher.de - (3767 Reads)

All logos and trademarks in this site are property of their respective owner.

Page Generation in 0.0937 Seconds, with 16 Database-Queries
Zurück zur Startseite