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Computational complexity class
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
E_(complexity)
Feature of systems that defy description
Complexity characterizes the behavior of a system or model whose components interact in multiple ways and follow local rules, leading to non-linearity
Complexity
Amount of resources to perform an algorithm
In computer science, the computational complexity or simply complexity of an algorithm is the amount of resources required to run it. Particular focus
Computational_complexity
Complexity class used to classify decision problems
problems in computer science In computational complexity theory, NP (nondeterministic polynomial time) is a complexity class used to classify decision problems
NP_(complexity)
Measure of algorithmic complexity
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
Kolmogorov_complexity
Measure of the structural complexity of a software program
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
Cyclomatic_complexity
Set of problems in computational complexity theory
In computational complexity theory, a complexity class is a set of computational problems "of related resource-based complexity". The two most commonly
Complexity_class
Inherent difficulty of computational problems
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
Computational complexity theory
Computational_complexity_theory
Class in 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
NC_(complexity)
Estimate of time taken for running an algorithm
the time complexity is the computational complexity that describes the amount of computer time it takes to run an algorithm. Time complexity is commonly
Time_complexity
Research psychometric
Integrative complexity is a research psychometric that refers to the degree to which thinking and reasoning involve the recognition and integration of
Integrative_complexity
Measure of complexity of real-valued functions
learning theory (machine learning and theory of computation), Rademacher complexity, named after Hans Rademacher, measures richness of a class of sets with
Rademacher_complexity
Computational complexity class
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
NE_(complexity)
Topics referred to by the same term
Algorithmic complexity may refer to: In algorithmic information theory, the complexity of a particular string in terms of all algorithms that generate
Algorithmic_complexity
Application of complexity science to economics
Complexity economics, or economic complexity, is the application of complexity science to the problems of economics. It relaxes several common assumptions
Complexity_economics
Computational complexity of quantum algorithms
relation to these complexity classes, as well as the relationship between quantum complexity classes and classical (i.e., non-quantum) complexity classes. Two
Quantum_complexity_theory
Computer memory needed by an algorithm
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
Space_complexity
Complexity class (logarithmic space)
In computational complexity theory, L (also known as LSPACE, LOGSPACE or DLOGSPACE) is the complexity class containing decision problems that can be solved
L_(complexity)
Model of computational complexity
In theoretical computer science, circuit complexity is a branch of computational complexity theory in which Boolean functions are classified according
Circuit_complexity
Concept in computer science
In computational complexity theory, a branch of computer science, bounded-error probabilistic polynomial time (BPP) is the class of decision problems solvable
BPP_(complexity)
by D. Baccarini in 1996. Complexity can be: Structural complexity (also known as detail complexity, or complicatedness), i.e. consisting of many varied
Project_complexity
Branch of computational complexity theory
In computer science, parameterized complexity is a branch of computational complexity theory that focuses on classifying computational problems according
Parameterized_complexity
System composed of many interacting components
Copernicus, New York, U.S. Colander, D. (2000). The Complexity Vision and the Teaching of Economics, E. Elgar, Northampton, Massachusetts. Stoop, Ruedi;
Complex_system
Effective complexity is a measure of complexity defined in a 1996 paper by Murray Gell-Mann and Seth Lloyd that attempts to measure the amount of non-random
Effective_complexity
Concept in psychology
Cognitive complexity describes cognition along a simplicity-complexity axis. It is the subject of academic study in fields including personal construct
Cognitive_complexity
Topics referred to by the same term
hardware verification language E (theorem prover), a modern, high performance prover for first-order logic E (complexity), a set of decision problems solvable
E_(disambiguation)
Algorithmic runtime requirements for common math procedures
the computational complexity of various algorithms for common mathematical operations. Here, complexity refers to the time complexity of performing computations
Computational complexity of mathematical operations
Computational_complexity_of_mathematical_operations
Conceptual framework
sociology, social complexity is a conceptual framework used in the analysis of society. In the sciences, contemporary definitions of complexity are found in
Social_complexity
Field in logic and theoretical computer science
science, and specifically proof theory and computational complexity theory, proof complexity is the field aiming to understand and analyse the computational
Proof_complexity
Class of problems in computer science
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
PP_(complexity)
Computational complexity
in computer science In computational complexity theory, NL (Nondeterministic Logarithmic-space) is the complexity class containing decision problems that
NL_(complexity)
In descriptive complexity, a query is a mapping from structures of one signature to structures of another vocabulary. Neil Immerman, in his book Descriptive
Query_(complexity)
Concept in linguistics
Language complexity is a topic in linguistics which can be divided into several sub-topics such as phonological, morphological, syntactic, and semantic
Language_complexity
Complexity class
In computational complexity theory, Polynomial Local Search (PLS) is a complexity class that models the difficulty of finding a locally optimal solution
PLS_(complexity)
computational complexity theory of computer science, the structural complexity theory or simply structural complexity is the study of complexity classes, rather
Structural_complexity_theory
Notion in combinatorial game theory
Combinatorial game theory measures game complexity in several ways: State-space complexity (the number of legal game positions from the initial position)
Game_complexity
Transformation of one computational problem to another
In computability theory and computational complexity theory, a reduction is an algorithm for transforming one problem into another problem. A sufficiently
Reduction_(complexity)
Application of complexity theory to strategy
Complexity theory and organizations, also called complexity strategy or complex adaptive organizations, is the use of the study of complexity systems
Complexity theory and organizations
Complexity_theory_and_organizations
Class of problems solvable in polynomial time
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
P_(complexity)
Branch of mathematical logic
Descriptive complexity is a branch of computational complexity theory and of finite model theory that characterizes complexity classes by the type of logic
Descriptive_complexity_theory
Complexity management is a business methodology that deals with the analysis and optimization of complexity in enterprises. Effective complexity management
Complexity_management
Mathematic definition
In convex geometry and polyhedral combinatorics, the extension complexity of a convex polytope P {\displaystyle P} is the smallest number of facets among
Extension_complexity
In computational complexity, the logarithmic time hierarchy (LH) is the complexity class of all computational problems solvable in a logarithmic amount
LH_(complexity)
Lens mount designed by Sony for their camcorders and mirrorless cameras
while maintaining vignetting with 35mm sensors. E-mount achieves this by: Minimising mechanical complexity, removing mechanical aperture and focus drive
Sony_E-mount
Measurement of computational complexity
computational complexity theory, asymptotic computational complexity is the use of asymptotic analysis for the estimation of the computational complexity of algorithms
Asymptotic computational complexity
Asymptotic_computational_complexity
Complexity of sending information in a distributed algorithm
In theoretical computer science, communication complexity studies the amount of communication required to solve a problem when the input to the problem
Communication_complexity
Class of computational complexity
P S P A C E {\displaystyle {\mathsf {P{\overset {?}{=}}PSPACE}}} More unsolved problems in computer science In computational complexity theory, PSPACE
PSPACE
Complexity measure in computer science
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)
Lempel–Ziv_complexity
Attribute of machine learning models
The sample complexity of a machine learning algorithm represents the number of training-samples that it needs in order to successfully learn a target function
Sample_complexity
Axioms in computational complexity theory
In computational complexity theory the Blum axioms or Blum complexity axioms are axioms that specify desirable properties of complexity measures on the
Blum_axioms
Argument by proponents of intelligent design
Irreducible complexity (IC) is the argument that certain biological systems with multiple interacting parts would not function if one of the parts were
Irreducible_complexity
Creationist argument by William Dembski
Specified complexity is a creationist intelligent design argument introduced by William Dembski. According to Dembski, the concept can formalize a property
Specified_complexity
In computational complexity theory, CC (Comparator Circuits) is the complexity class containing decision problems which can be solved by comparator circuits
CC_(complexity)
In computational complexity theory, the complexity class FL is the set of function problems that can be solved by a deterministic Turing machine in a
FL_(complexity)
American professional electronic sports organization
Complexity Gaming, formerly stylized as compLexity, is an American esports franchise headquartered in Frisco, Texas. The franchise was founded in 2003
Complexity_Gaming
Computational input that relies on the length but not content of the input
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
Advice_(complexity)
Concept in topology
In mathematics, topological complexity of a topological space X (also denoted by TC(X)) is a topological invariant closely connected to the motion planning
Topological_complexity
languages that are neither RE nor co-RE. It is the largest complexity class, containing all other complexity classes. Complexity Zoo: Class ALL v t e
ALL_(complexity)
2.71828...; base of natural logarithms
simple rational numbers. This allows the complexity of computing n {\displaystyle n} digits of e {\displaystyle e} to be reduced to O ( n log 2 n ) {\displaystyle
E_(mathematical_constant)
Classification of computer problems
Geometric complexity theory (GCT), is a research program in computational complexity theory proposed by Ketan Mulmuley and Milind Sohoni. The goal of the
Geometric_complexity_theory
Information-based complexity (IBC) studies optimal algorithms and computational complexity for the continuous problems that arise in physical science,
Information-based_complexity
In computational complexity theory, a language B (or a complexity class B) is said to be low for a complexity class A (with some reasonable relativized
Low_(complexity)
Implicit computational complexity (ICC) is a subfield of computational complexity theory that characterizes programs by constraints on the way in which
Implicit computational complexity
Implicit_computational_complexity
Notion of the "hardest" or "most general" problem in a complexity class
In computational complexity theory, a computational problem is complete for a complexity class if it is, in a technical sense, among the "hardest" (or
Complete_(complexity)
Self-complexity is a person's perceived knowledge of themself, based upon the number of distinct cognitive structures, or self-aspects, they believe to
Self-complexity
Number and type of nodes and alternative paths that exist within a computer network
Network complexity is the number of nodes and alternative paths that exist within a computer network, as well as the variety of communication media, communications
Network_complexity
Numerical measure of program structure
better known for introducing cyclomatic complexity. McCabe defined essential complexity as the cyclomatic complexity of the reduced CFG (control-flow graph)
Essential_complexity
1977 scholarly article by Donald Knuth
"The Complexity of Songs" is a scholarly article by computer scientist Donald Knuth published in 1977 as an in-joke about computational complexity theory
The_Complexity_of_Songs
Concept in computer science
In complexity theory, ZPP (zero-error probabilistic polynomial time) is the complexity class of problems for which a probabilistic Turing machine exists
ZPP_(complexity)
Forecasting complexity is a measure of complexity put forward (under the original name of) by the physicist Peter Grassberger. It was later renamed "statistical
Forecasting_complexity
Length of expression as combination of 1s
In number theory, the complexity of an integer is the smallest number of ones that can be used to represent it using ones and any number of additions,
Integer_complexity
Algorithm that employs a degree of randomness as part of its logic or procedure
unconditionally, i.e. without relying on any complexity-theoretic assumptions, assuming the convex body can be queried only as a black box. A more complexity-theoretic
Randomized_algorithm
Complexity class consisting of all recursive languages
In computational complexity theory, R is the class of decision problems solvable by a Turing machine, which is the set of all recursive languages (also
R_(complexity)
Complexity class
In computability theory and computational complexity theory, RE (recursively enumerable) is the class of decision problems for which a 'yes' answer can
RE_(complexity)
of complexity classes in computational complexity theory. For other computational and complexity subjects, see list of computability and complexity topics
List_of_complexity_classes
Late-War German tank project
improvements over extreme complexity of previous tank designs that resulted in poor production rates and mechanical unreliability. The E-series designs were
Entwicklung_series
2015 Italian film
The Complexity of Happiness (Italian: La felicità è un sistema complesso [la felitʃiˈta ˌɛ un siˈstɛːma komˈplɛsso]) is a 2015 comedy film written and
The_Complexity_of_Happiness
Model of computation
In computational complexity theory and circuit complexity, a Boolean circuit is a mathematical model for combinational digital logic circuits. A formal
Boolean_circuit
Complexity class
In computational complexity theory, SC (Steve's Class, named after Stephen Cook) is the complexity class of problems solvable by a deterministic Turing
SC_(complexity)
Generic-case complexity is a subfield of computational complexity theory that studies the complexity of computational problems on "most inputs". Generic-case
Generic-case_complexity
Algorithm characteristic in computations
In computational complexity theory, the average-case complexity of an algorithm is the amount of some computational resource (typically time) used by the
Average-case_complexity
Given more time, a Turing machine can solve more problems
In computational complexity theory, the time hierarchy theorems are important statements about time-bounded computation on Turing machines. Informally
Time_hierarchy_theorem
has vertex complexity at most v, if P can be represented as conv(V)+cone(E), where V and E are finite sets, such that each point in V or E has encoding
N-dimensional_polyhedron
Algorithmic complexity class
In computational complexity theory, the complexity class EXPTIME (sometimes called EXP or DEXPTIME) is the set of all decision problems that are solvable
EXPTIME
The concept of Social Identity Complexity (Roccas and Brewer, 2002) is a theoretical construct that refers to an individual's subjective representation
Social_identity_complexity
Model of computational complexity
computational complexity theory, the decision tree model is the model of computation in which an algorithm can be considered to be a decision tree, i.e. a sequence
Decision_tree_model
Complexity class
In computational complexity theory, the complexity class 2-EXPTIME (sometimes called 2-EXP, sometimes also written 2EXPTIME) is the set of all decision
2-EXPTIME
Standard model in theoretical computer science
In computational complexity theory, arithmetic circuits are the standard model for computing polynomials. Informally, an arithmetic circuit takes as inputs
Arithmetic_circuit_complexity
Complexity class
In computational complexity theory, SNP (from Strict NP) is a complexity class containing a limited subset of NP based on its logical characterization
SNP_(complexity)
Complexity class from interactive proofs
In computational complexity theory, the class IP (which stands for interactive proof) is the class of problems solvable by an interactive proof system
IP_(complexity)
PR is the complexity class of all primitive recursive functions—or, equivalently, the set of all formal languages that can be decided in time bounded by
PR_(complexity)
In computational complexity theory, the complexity class E L E M E N T A R Y {\displaystyle {\mathsf {ELEMENTARY}}} consists of the decision problems
ELEMENTARY
Measure of complexity regarding algorithmic entropy
theory, sophistication is a measure of complexity related to algorithmic entropy. When K is the Kolmogorov complexity and c is a constant, the sophistication
Sophistication (complexity theory)
Sophistication_(complexity_theory)
Data structure for storing non-overlapping sets
Bernard A. Galler and Michael J. Fischer in 1964. In 1973, their time complexity was bounded to O ( log ∗ ( n ) ) {\displaystyle O(\log ^{*}(n))} , the
Disjoint-set_data_structure
Framework for scoring a behavior's complexity
The model of hierarchical complexity (MHC) is a framework for scoring how complex a behavior is, such as verbal reasoning or other cognitive tasks. It
Model of hierarchical complexity
Model_of_hierarchical_complexity
Upper bound on resources required by an algorithm
computer science (specifically computational complexity theory), the worst-case complexity measures the resources (e.g. running time, memory) that an algorithm
Worst-case_complexity
American television producer, writer and attorney (born 1956)
managed care, portraying HMOs as dramatically evil while glossing over the complexities. Doctors are too often shown as selfless patient advocates ready to battle
David_E._Kelley
In modern computer science and statistics, the complexity index of a function denotes the level of informational content, which in turn affects the difficulty
Complexity_index
State complexity is an area of theoretical computer science dealing with the size of abstract automata, such as different kinds of finite automata. The
State_complexity
Complexity class
In computational complexity theory, PPA is a complexity class, standing for "Polynomial Parity Argument" (on a graph). Introduced by Christos Papadimitriou
PPA_(complexity)
E COMPLEXITY
E COMPLEXITY
Girl/Female
French, German, Latin
Virgin
Female
French
Feminine form of French René, RENÉE means "reborn."
Female
French
French form of Latin Medea, MÉDÉE means "cunning."
Boy/Male
American, British, English
Bird
Male
French
French form of Latin Timotheus, TIMOTHÉE means "to honor God."
Female
French
Feminine form of French unisex Esmé, ESMÉE means "esteemed, loved."
Female
French
Feminine form of French Honoré, HONORÉE means "honor, valor."
Female
French
French form of Latin Dorothea, DOROTHÉE means "gift of God."
Boy/Male
American, British, English
Birch
Male
French
French form of Latin Isaias, ISAÃE means "God is salvation."
Female
French
Feminine form of French Iréné, IRÉNÉE means "peaceful."
Female
French
Feminine form of French André, ANDRÉE means "man; warrior."
Girl/Female
French, German, Latin, Spanish
Modest
Male
Slovene
Pet form of Slovene Jožef, JOŽE means "(God) shall add (another son)."Â
Boy/Male
English, Modern
A Miracle; Inimitably; Do Something which Others cannot do
Female
French
Pet form of French Estelle, ESTÉE means "star."
Female
French
Feminine form of French Désiré, DÉSIRÉE means "desired."Â
Female
French
French name, derived from the French word aimée, AIMÉE means "much loved."
Female
French
Feminine form of French Dieudonné, DIEUDONNÉE means "God-given."
Female
French
French feminine form of Latin Josephus, JOSÉE means "(God) shall add (another son)."Â
E COMPLEXITY
E COMPLEXITY
Boy/Male
Hindu
Boy/Male
Indian, Punjabi, Sikh
Gods Light
Boy/Male
Hindu, Indian, Tamil, Telugu, Traditional
Kind; Honesty; Lord Vishnu
Girl/Female
Arabic, Muslim
True Believer; Upright; True
Girl/Female
Tamil
Peacemaker, Who is calm and disciplined
Girl/Female
Hindu
Boy/Male
Muslim/Islamic
To help assist
Male
Finnish
Finnish form of Greek Esaias, ESA means "God is salvation."
Boy/Male
British, English, Gaelic, Irish
Pale Bridge
Female
English
 Latin form of Macedonian Greek Berenike, VERONICA means "bringer of victory." From an early date, it was influenced by the Church Latin phrase veraiconia, "true image," resulting in the invented legend of St. Veronica, who was said to have wiped Christ's face on his way to Calvary and found an image of his face on the towel.
E COMPLEXITY
E COMPLEXITY
E COMPLEXITY
E COMPLEXITY
E COMPLEXITY
superl.
Not decidedly marked; not forcible; inconsiderable; unimportant; insignificant; not severe; weak; gentle; -- applied in a great variety of circumstances; as, a slight (i. e., feeble) effort; a slight (i. e., perishable) structure; a slight (i. e., not deep) impression; a slight (i. e., not convincing) argument; a slight (i. e., not thorough) examination; slight (i. e., not severe) pain, and the like.
n.
An evergreen shrub of the genus Erica (E. passerina).
n.
A female pope; i. e., the fictitious pope Joan.
e. t.
To make cool.
n.
Originally, the highest note in the scale of Guido; hence, proverbially, any extravagant saying.
n.
See Set, n., 2 (e) and 3.
pl.
of Notopodium
a.
Old; as, Auld Reekie (old smoky), i. e., Edinburgh.
superl.
Possessing a characteristic quality in a supreme or superior degree; as, high (i. e., intense) heat; high (i. e., full or quite) noon; high (i. e., rich or spicy) seasoning; high (i. e., complete) pleasure; high (i. e., deep or vivid) color; high (i. e., extensive, thorough) scholarship, etc.
a.
Bold; brave; stout; daring; resolu?e; intrepid.
a.
Covered with a mant/e; cloaked; disguised.
e. i.
To cut with a grating sound; to cut; to penetrate or pierce harshly; as, the griding sword.
e
(imp.) of Wit
v. t.
To liken; to compa/e.
n.
See Elevator, n. (e).
a.
Lower by a semitone; flat; as, E molle, that is, E flat.