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- frecuencia de uso
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- etimología
Qué (quién) es P (complexity) - definición
COMPUTATIONAL COMPLEXITY CLASS OF PROBLEMS SOLVABLE BY A DETERMINISTIC TURING MACHINE IN POLYNOMIAL TIME
PTIME; Nonuniform polynomial-time; Nonuniform polynomial time; AL (complexity); P (complexity class); Complexity class P; P-hard; P (class)
![PH]], and [[PSPACE]]](https://commons.wikimedia.org/wiki/Special:FilePath/Complexity-classes-polynomial.svg?width=200 "PH]], and [[PSPACE]]")
![PP]]), allwithin [[PSPACE]]. It is unknown if any of these containments are strict.](https://commons.wikimedia.org/wiki/Special:FilePath/Randomised Complexity Classes 2.svg?width=200 "PP]]), allwithin [[PSPACE]]. It is unknown if any of these containments are strict.")
P (complexity)
In computational complexity theory, P, also known as PTIME or DTIME(nO(1)), is a fundamental complexity class. It contains all decision problems that can be solved by a deterministic Turing machine using a polynomial amount of computation time, or polynomial time.
Computational complexity
MEASURE OF THE AMOUNT OF RESOURCES NEEDED TO RUN AN ALGORITHM OR SOLVE A COMPUTATIONAL PROBLEM
Asymptotic complexity; Computational Complexity; Bit complexity; Context of computational complexity; Complexity of computation (bit); Computational complexities
In computer science, the computational complexity or simply complexity of an algorithm is the amount of resources required to run it. Particular focus is given to computation time (generally measured by the number of needed elementary operations) and memory storage requirements.
complexity
PROFESSIONAL ESPORTS ORGANIZATION BASED IN THE UNITED STATES
Los Angeles Complexity; CompLexity Gaming; LA Complexity; Complexity LA; CompLexity; Team CompLexity; CoL.Black; CoL
<algorithm> The level in difficulty in solving mathematically
posed problems as measured by the time, number of steps or
arithmetic operations, or memory space required (called time
complexity, computational complexity, and space complexity,
respectively).
The interesting aspect is usually how complexity scales with
the size of the input (the "scalability"), where the size of
the input is described by some number N. Thus an algorithm
may have computational complexity O(N^2) (of the order of the
square of the size of the input), in which case if the input
doubles in size, the computation will take four times as many
steps. The ideal is a constant time algorithm (O(1)) or
failing that, O(N).
See also NP-complete.
(1994-10-20)
Wikipedia
P (complexity)
In computational complexity theory, P, also known as PTIME or DTIME(nO(1)), is a fundamental complexity class. It contains all decision problems that can be solved by a deterministic Turing machine using a polynomial amount of computation time, or polynomial time.
Cobham's thesis holds that P is the class of computational problems that are "efficiently solvable" or "tractable". This is inexact: in practice, some problems not known to be in P have practical solutions, and some that are in P do not, but this is a useful rule of thumb.
