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output alphabet - Übersetzung nach russisch
A PROPERTY DESCRIBING RUN-TIME COMPLEXITY OF ALGORITHMS
Output sensitivity; Output-sensitivity
output alphabet
общая лексика
выходной алфавит
input symbol
NON-EMPTY SET OF SYMBOLS OR LETTERS IN COMPUTER SCIENCE AND MATHEMATICAL LOGIC
Input symbol; Alphabet (computer science); Alphabet (mathematics); Character alphabet
математика
входной символ
Roman alphabet
![shrine of the Augustales]] at [[Herculaneum]].](https://commons.wikimedia.org/wiki/Special:FilePath/Inscription displaying apices (from the shrine of the Augustales at Herculaneum).jpg?width=200 "shrine of the Augustales]] at [[Herculaneum]].")
![''De chalcographiae inventione'' (1541, [[Mainz]]) with the 23 letters. [[J]], [[U]] and [[W]] are missing.](https://commons.wikimedia.org/wiki/Special:FilePath/Ioanne Arnoldo 1541.PNG?width=200 "''De chalcographiae inventione'' (1541, [[Mainz]]) with the 23 letters. [[J]], [[U]] and [[W]] are missing.")
ALPHABET USED TO WRITE THE LATIN LANGUAGE (MORE SPECIFIC THAN Q8229: LATIN ALPHABET)
Roman alphabet; Latin Alphabet; Latin-alphabet; Roman Alphabet; Latin (alphabet); Rome alphabet; Classical Latin alphabet; Early Latin alphabet; Abcdefghijklmnopqrstuvwxyz; Roman-alphabet; ABCDEFGHIJKLMNOPQRSTUVWXYZ; Old Latin alphabet
латинский алфавит
Definition
output device
<hardware> Electronic or electromechanical equipment connected
to a computer and used to transfer data out of the computer in
the form of text, images, sounds or other media to a {display
screen}, printer, loudspeaker or storage device. Most
modern storage devices such as disk drives and {magnetic
tape drives} act as both input and output devices, others such
as CD-ROM are input only.
(1997-03-18)
Wikipedia
Output-sensitive algorithm
In computer science, an output-sensitive algorithm is an algorithm whose running time depends on the size of the output, instead of, or in addition to, the size of the input. For certain problems where the output size varies widely, for example from linear in the size of the input to quadratic in the size of the input, analyses that take the output size explicitly into account can produce better runtime bounds that differentiate algorithms that would otherwise have identical asymptotic complexity.
