f^n bottom | n = 0 infinity - definitie. Wat is f^n bottom | n = 0 infinity
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Wat (wie) is f^n bottom | n = 0 infinity - definitie

COMPLEXITY CLASS
TIME(f(n)); DTIME(f(n)); Deterministic time

Ň         
LETTER OF THE CZECH, SLOVAK, AND TURKMEN ALPHABETS
N-caron; N caron; N with caron
The grapheme Ň (minuscule: ň) is a letter in the Czech, Slovak and Turkmen alphabets. It is formed from Latin N with the addition of a caron (háček in Czech and mäkčeň in Slovak) and follows plain N in the alphabet.
N         
  • Latin N
  • 20px
  • x35px
  • x30px
  • Proto-Sinaitic Nun
  • Proto-Caanite Nun
LETTER OF THE LATIN ALPHABET
N; N (character); N (letter); User:Ijai1205/Johor Student Leaders Council (JSLC); ASCII 78; ASCII 110; U+004E; U+006E; Letter N
(a) Symbol for north pole or north-seeking pole of a magnet. (b) Symbol for the number of lines of force in a magnetic circuit.
Ń         
  • 75px
LETTER OF THE LATIN ALPHABET
N with acute; N acute
Ń (minuscule: ń) is a letter formed by putting an acute accent over the letter N. In the Belarusian Łacinka alphabet; the alphabets of Polish, Kashubian, Wymysorys and the Sorbian languages; and the romanization of Khmer, it represents , which is the same as Czech and Slovak ň, Serbo-Croatian and Albanian nj, Spanish and Galician ñ, Italian and French gn, Hungarian and Catalan ny, and Portuguese nh.

Wikipedia

DTIME

In computational complexity theory, DTIME (or TIME) is the computational resource of computation time for a deterministic Turing machine. It represents the amount of time (or number of computation steps) that a "normal" physical computer would take to solve a certain computational problem using a certain algorithm. It is one of the most well-studied complexity resources, because it corresponds so closely to an important real-world resource (the amount of time it takes a computer to solve a problem).

The resource DTIME is used to define complexity classes, sets of all of the decision problems which can be solved using a certain amount of computation time. If a problem of input size n can be solved in O ( f ( n ) ) {\displaystyle O(f(n))} , we have a complexity class D T I M E ( f ( n ) ) {\displaystyle {\mathsf {DTIME}}(f(n))} (or T I M E ( f ( n ) ) {\displaystyle {\mathsf {TIME}}(f(n))} ). There is no restriction on the amount of memory space used, but there may be restrictions on some other complexity resources (like alternation).