In computational complexity theory, a complexity class is a set of computational problems "of related resource-based complexity". The two most commonly...

in computer science In computational complexity theory, NP (nondeterministic polynomial time) is a complexity class used to classify decision problems....

In computer science, parameterized complexity is a branch of computational complexity theory that focuses on classifying computational problems according...

of complexity classes in computational complexity theory. For other computational and complexity subjects, see list of computability and complexity topics...

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...

more decrease time complexity (Greenlaw and Hoover 1998: 226), while inductive Turing machines can decrease even the complexity class of a function, language...

the time complexity is the computational complexity that describes the amount of computer time it takes to run an algorithm. Time complexity is commonly...

In theoretical computer science and mathematics, computational complexity theory focuses on classifying computational problems according to their resource...

In computational complexity theory, the complexity class NE is the set of decision problems that can be solved by a non-deterministic Turing machine in...

In complexity theory, PP, or PPT is the class of decision problems solvable by a probabilistic Turing machine in polynomial time, with an error probability...

In computational complexity theory, a branch of computer science, bounded-error probabilistic polynomial time (BPP) is the class of decision problems...

In computational complexity theory, L (also known as LSPACE, LOGSPACE or DLOGSPACE) is the complexity class containing decision problems that can be solved...

computer science In computational complexity theory, NL (Nondeterministic Logarithmic-space) is the complexity class containing decision problems that...

In computer science, the computational complexity or simply complexity of an algorithm is the amount of resources required to run it. Particular focus...

In computational complexity theory, randomized polynomial time (RP) is the complexity class of problems for which a probabilistic Turing machine exists...

functions is a popular approach to separating complexity classes. For example, a prominent circuit class P/poly consists of Boolean functions computable...

(Randomized Logarithmic-space Polynomial-time), is the complexity class of computational complexity theory problems solvable in logarithmic space and polynomial...

In computational complexity theory, the complexity class FP is the set of function problems that can be solved by a deterministic Turing machine in polynomial...

Descriptive complexity is a branch of computational complexity theory and of finite model theory that characterizes complexity classes by the type of logic...

unsolved problems in computer science In computational complexity theory, the class NC (for "Nick's Class") is the set of decision problems decidable in polylogarithmic...

input influencing space complexity. Analogously to time complexity classes DTIME(f(n)) and NTIME(f(n)), the complexity classes DSPACE(f(n)) and NSPACE(f(n))...

notion of reduction depends on the complexity class being studied. When studying the complexity class NP and harder classes such as the polynomial hierarchy...

Quantum complexity theory is the subfield of computational complexity theory that deals with complexity classes defined using quantum computers, a computational...

science, PPAD ("Polynomial Parity Arguments on Directed graphs") is a complexity class introduced by Christos Papadimitriou in 1994. PPAD is a subclass of...

Combinatorial game theory measures game complexity in several ways: State-space complexity (the number of legal game positions from the initial position)...

the input, but not on the input itself. A decision problem is in the complexity class P/f(n) if there is a polynomial time Turing machine M with the following...

In computational complexity theory, SL (Symmetric Logspace or Sym-L) is the complexity class of problems log-space reducible to USTCON (undirected s-t...

certain problems in a single operation. The problem can be of any complexity class. Even undecidable problems, such as the halting problem, can be used...

In computational complexity theory, a computational problem is complete for a complexity class if it is, in a technical sense, among the "hardest" (or...

In complexity theory, ZPP (zero-error probabilistic polynomial time) is the complexity class of problems for which a probabilistic Turing machine exists...