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...

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

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

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

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

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

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

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

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...

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

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"...

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

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

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

}{=}}{\mathsf {P}}} ⁠ More unsolved problems in computer science In computational complexity theory, the class NC (for "Nick's Class") is the set of decision problems...

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

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

"Quantitative Measures of Network Complexity". Complexity in Chemistry, Biology, and Ecology. Boston, MA: Springer. pp. 191–235. doi:10.1007/0-387-25871-X_5...

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

learning theory (machine learning and theory of computation), Rademacher complexity, named after Hans Rademacher, measures richness of a class of sets with...

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

Language complexity is a topic in linguistics which can be divided into several sub-topics such as phonological, morphological, syntactic, and semantic...

Cognitive complexity describes cognition along a simplicity-complexity axis. It is the subject of academic study in fields including personal construct...