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...

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

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

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...

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

computational complexity theory of computer science, the structural complexity theory or simply structural complexity is the study of complexity classes, rather...

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

Toda's theorem is a result in computational complexity theory that was proven by Seinosuke Toda in his paper "PP is as Hard as the Polynomial-Time Hierarchy"...

In theoretical computer science, communication complexity studies the amount of communication required to solve a problem when the input to the problem...

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

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...

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

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

In computational complexity theory, the complexity class FNP is the function problem extension of the decision problem class NP. The name is somewhat...

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

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

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

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

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

In computational complexity theory, BPL (Bounded-error Probabilistic Logarithmic-space), sometimes called BPLP (Bounded-error Probabilistic Logarithmic-space...

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

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

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...

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...

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