Faster access than browser!Similarities between Computational complexity theory and DTIME
Computational complexity theory and DTIME have 12 things in common (in Unionpedia): Algorithm, Alternating Turing machine, Complexity class, Computational problem, Decision problem, EXPTIME, Non-deterministic Turing machine, NTIME, P (complexity), Time complexity, Time hierarchy theorem, Turing machine.
Algorithm
In mathematics and computer science, an algorithm is an unambiguous specification of how to solve a class of problems.
Algorithm and Computational complexity theory · Algorithm and DTIME ·
Alternating Turing machine
In computational complexity theory, an alternating Turing machine (ATM) is a non-deterministic Turing machine (NTM) with a rule for accepting computations that generalizes the rules used in the definition of the complexity classes NP and co-NP.
Alternating Turing machine and Computational complexity theory · Alternating Turing machine and DTIME ·
Complexity class
In computational complexity theory, a complexity class is a set of problems of related resource-based complexity.
Complexity class and Computational complexity theory · Complexity class and DTIME ·
Computational problem
In theoretical computer science, a computational problem is a mathematical object representing a collection of questions that computers might be able to solve.
Computational complexity theory and Computational problem · Computational problem and DTIME ·
Decision problem
In computability theory and computational complexity theory, a decision problem is a problem that can be posed as a yes-no question of the input values.
Computational complexity theory and Decision problem · DTIME and Decision problem ·
EXPTIME
In computational complexity theory, the complexity class EXPTIME (sometimes called EXP or DEXPTIME) is the set of all decision problems that have exponential runtime, i.e., that are solvable by a deterministic Turing machine in O(2p(n)) time, where p(n) is a polynomial function of n. In terms of DTIME, We know and also, by the time hierarchy theorem and the space hierarchy theorem, that so at least one of the first three inclusions and at least one of the last three inclusions must be proper, but it is not known which ones are.
Computational complexity theory and EXPTIME · DTIME and EXPTIME ·
Non-deterministic Turing machine
In theoretical computer science, a Turing machine is a theoretical machine that is used in thought experiments to examine the abilities and limitations of computers.
Computational complexity theory and Non-deterministic Turing machine · DTIME and Non-deterministic Turing machine ·
NTIME
In computational complexity theory, the complexity class NTIME(f(n)) is the set of decision problems that can be solved by a non-deterministic Turing machine which runs in time O(f(n)).
Computational complexity theory and NTIME · DTIME and NTIME ·
P (complexity)
In computational complexity theory, P, also known as PTIME or DTIME(nO(1)), is a fundamental complexity class.
Computational complexity theory and P (complexity) · DTIME and P (complexity) ·
Time complexity
In computer science, the time complexity is the computational complexity that describes the amount of time it takes to run an algorithm.
Computational complexity theory and Time complexity · DTIME and Time complexity ·
Time hierarchy theorem
In computational complexity theory, the time hierarchy theorems are important statements about time-bounded computation on Turing machines.
Computational complexity theory and Time hierarchy theorem · DTIME and Time hierarchy theorem ·
Turing machine
A Turing machine is a mathematical model of computation that defines an abstract machine, which manipulates symbols on a strip of tape according to a table of rules.
Computational complexity theory and Turing machine · DTIME and Turing machine ·
The list above answers the following questions
- What Computational complexity theory and DTIME have in common
- What are the similarities between Computational complexity theory and DTIME
Computational complexity theory and DTIME Comparison
Computational complexity theory has 164 relations, while DTIME has 23. As they have in common 12, the Jaccard index is 6.42% = 12 / (164 + 23).
References
This article shows the relationship between Computational complexity theory and DTIME. To access each article from which the information was extracted, please visit:
