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

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

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

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

Kolmogorov complexity for infinitely many texts. Kolmogorov complexity is the length of the ultimately compressed version of a file (i.e., anything which...

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

their computational complexity, i.e., the amount of resources needed to solve them, such as time and storage. Other measures of complexity are also used, such...

Stanford AI Lab in the 1970s E (complexity), a set of decision problems solvable by a Turing machine in a specific time /e/ (operating system), a fork...

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

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 computational complexity theory, an advice string is an extra input to a Turing machine that is allowed to depend on the length n of the input, but...

relation to these complexity classes, as well as the relationship between quantum complexity classes and classical (i.e., non-quantum) complexity classes. Two...

Integrative complexity is a research psychometric that refers to the degree to which thinking and reasoning involve the recognition and integration of...

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

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

Copernicus, New York, U.S. Colander, D. (2000). The Complexity Vision and the Teaching of Economics, E. Elgar, Northampton, Massachusetts. Stoop, Ruedi;...

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

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

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

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

Algorithmic complexity may refer to: In algorithmic information theory, the complexity of a particular string in terms of all algorithms that generate...

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

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

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

}{=}}{\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...

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...

science, and specifically proof theory and computational complexity theory, proof complexity is the field aiming to understand and analyse the computational...

and Jacob Ziv. This complexity measure is related to Kolmogorov complexity, but the only function it uses is the recursive copy (i.e., the shallow copy)...