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...

secreted by PP cells PP cell or pancreatic polypeptide cell pro parte, abbreviated p.p., for a type of synonymy in taxonomy PP (complexity), a probabilistic...

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

Cyclomatic complexity is a software metric used to indicate the complexity of a program. It is a quantitative measure of the number of linearly independent...

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...

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

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

theory (a subfield of computer science and mathematics), the Kolmogorov complexity of an object, such as a piece of text, is the length of a shortest computer...

Complexity characterizes the behavior of a system or model whose components interact in multiple ways and follow local rules, leading to non-linearity...

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

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

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

The space complexity of an algorithm or a data structure is the amount of memory space required to solve an instance of the computational problem as a...

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

In theoretical computer science, circuit complexity is a branch of computational complexity theory in which Boolean functions are classified according...

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

Strauss, M. (1994), "Measure on small complexity classes with applications for BPP", Proceedings of IEEE FOCS'94, pp. 807–818, ECCC TR94-004, DIMACS TR 94-18...

Complexity economics is the application of complexity science to the problems of economics. It relaxes several common assumptions in economics, including...

the computational complexity of various algorithms for common mathematical operations. Here, complexity refers to the time complexity of performing computations...

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

In computational complexity theory, the complement of a decision problem is the decision problem resulting from reversing the yes and no answers. Equivalently...

In computational complexity theory, the complexity class PH is the union of all complexity classes in the polynomial hierarchy: P H = ⋃ k ∈ N Δ k P {\displaystyle...

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

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

"The Complexity of Songs" is a scholarly article by computer scientist Donald Knuth published in 1977 as an in-joke about computational complexity theory...

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

Complexity theory and organizations, also called complexity strategy or complex adaptive organizations, is the use of the study of complexity systems...

Irreducible complexity (IC) is the argument that certain biological systems with multiple interacting parts would not function if one of the parts were...

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

Atlantic City algorithm is a probabilistic polynomial time algorithm (PP Complexity Class) that answers correctly at least 75% of the time (or, in some...