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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
Complexity class used to classify decision problems
in computer science In computational complexity theory, NP (nondeterministic polynomial time) is a complexity class used to classify decision problems.
NP_(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
Class in computational complexity theory
unsolved problems in computer science In computational complexity theory, the class NC (for "Nick's Class") is the set of decision problems decidable in polylogarithmic
NC_(complexity)
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)
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
Feature of systems that defy description
more decrease time complexity (Greenlaw and Hoover 1998: 226), while inductive Turing machines can decrease even the complexity class of a function, language
Complexity
Inherent difficulty of computational problems
In theoretical computer science and mathematics, computational complexity theory focuses on classifying computational problems according to their resource
Computational complexity theory
Computational_complexity_theory
of complexity classes in computational complexity theory. For other computational and complexity subjects, see list of computability and complexity topics
List_of_complexity_classes
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)
Model of computational complexity
functions is a popular approach to separating complexity classes. For example, a prominent circuit class P/poly consists of Boolean functions computable
Circuit_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)
Computational complexity
computer science In computational complexity theory, NL (Nondeterministic Logarithmic-space) is the complexity class containing decision problems that
NL_(complexity)
Randomized polynomial time class of computational complexity theory
In computational complexity theory, randomized polynomial time (RP) is the complexity class of decision problems for which a probabilistic Turing machine
RP_(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
BPP_(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
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
Transformation of one computational problem to another
forms a preorder, whose equivalence classes may be used to define degrees of unsolvability and complexity classes. There are two main situations where
Reduction_(complexity)
Computer memory needed by an algorithm
input influencing space complexity. Analogously to time complexity classes DTIME(f(n)) and NTIME(f(n)), the complexity classes DSPACE(f(n)) and NSPACE(f(n))
Space_complexity
Complexity class
science, PPAD ("Polynomial Parity Arguments on Directed graphs") is a complexity class introduced by Christos Papadimitriou in 1994. PPAD is a subclass of
PPAD_(complexity)
whose expressive power coincides exactly with a given complexity class, so that membership in the class becomes a consequence of syntactic well-formedness
Implicit computational complexity
Implicit_computational_complexity
Type of computational problem
Counting complexity techniques have significant applications in clarifying the relation between complexity classes of P, NP, PH, etc, in circuit complexity, and
Counting_problem_(complexity)
Abstract machine used to study decision problems
R'} is in the relativized complexity class P R {\displaystyle {\mathsf {P}}^{R}} . Other relativized complexity classes such as N P R {\displaystyle
Oracle_machine
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
In computational complexity theory, SL (Symmetric Logspace or Sym-L) is the complexity class of problems log-space reducible to USTCON (undirected s-t
SL_(complexity)
(Randomized Logarithmic-space Polynomial-time), is the complexity class of computational complexity theory problems solvable in logarithmic space and polynomial
RL_(complexity)
and specifically computational complexity theory and circuit complexity, TC (Threshold Circuit) is a complexity class of decision problems that can be
TC_(complexity)
Computational complexity of quantum algorithms
Quantum complexity theory is the subfield of computational complexity theory that deals with complexity classes defined using quantum computers, a computational
Quantum_complexity_theory
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)
Complexity class of approximable problems
In computational complexity theory, the class APX (an abbreviation of "approximable") is the set of NP optimization problems that allow polynomial-time
APX
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
Complexity class
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
FP_(complexity)
Class of computational complexity
is not in the language. PSPACE can be characterized as the quantum complexity class QIP. PSPACE is also equal to PCTC, problems solvable by classical computers
PSPACE
Type of randomized algorithm
algorithm k times and returning the majority function of the answers. The complexity class BPP describes decision problems that can be solved by polynomial-time
Monte_Carlo_algorithm
In circuit complexity, AC is a complexity class hierarchy. Each class, ACi, consists of the languages recognized by Boolean circuits with depth O ( log
AC_(complexity)
Complexity class
would give polynomial time algorithms for all the problems in the complexity class NP. As it is suspected, but unproven, that P≠NP, it is unlikely that
NP-hardness
Complexity class
In computational complexity theory, NP-complete problems are the hardest of the problems to which solutions can be verified quickly. Somewhat more precisely
NP-completeness
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)
Unsolved problem in computer science
could be automated. The relation between the complexity classes P and NP is studied in computational complexity theory, the part of the theory of computation
P_versus_NP_problem
Interactive proof system in computational complexity theory
In computational complexity theory, an Arthur–Merlin protocol, introduced by Babai (1985), is an interactive proof system in which the verifier's coin
Arthur–Merlin_protocol
Problem of determining if a Boolean formula could be made true
NP-complete—this is the Cook–Levin theorem. This means that all problems in the complexity class NP, which includes a wide range of natural decision and optimization
Boolean satisfiability problem
Boolean_satisfiability_problem
Complexity class
In computational complexity theory, the complexity class #P (pronounced "sharp P" or, sometimes "number P" or "hash P") is the set of the counting problems
♯P
Mathematical model of computation
several important complexity classes is allowing for an error probability of 1/3. For instance, the complexity class BPP is defined as the class of languages
Probabilistic_Turing_machine
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)
Topics referred to by the same term
the structure of a class Complexity class, a set of problems of related complexity in computational complexity theory Java class file, computer file
Class
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
Complexity class
In computational complexity theory, the complexity class FNP is the function problem extension of the decision problem class NP. The name is somewhat
FNP_(complexity)
Type of randomized algorithm
be repeated and every time will generate different arrangement. The complexity class of decision problems that have Las Vegas algorithms with expected polynomial
Las_Vegas_algorithm
Computational input that relies on the length but not content of the input
the input, but not on the input itself. A decision problem is in the complexity class P/f(n) if there is a polynomial time Turing machine M with the following
Advice_(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)
Measure of complexity of real-valued functions
and theory of computation), Rademacher complexity, named after Hans Rademacher, measures richness of a class of sets with respect to a probability distribution
Rademacher_complexity
Complexity class
or "hash P complete") form a complexity class in computational complexity theory. The problems in this complexity class are defined by having the following
♯P-complete
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)
Computer science concept
computational complexity theory, the polynomial hierarchy (sometimes called the polynomial-time hierarchy) is a hierarchy of complexity classes that generalize
Polynomial_hierarchy
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
Computational complexity class of problems
In computational complexity theory, bounded-error quantum polynomial time (BQP) is the class of decision problems solvable by a quantum computer in polynomial
BQP
Algorithm that employs a degree of randomness as part of its logic or procedure
considered, and several complexity classes are studied. The most basic randomized complexity class is RP, which is the class of decision problems for
Randomized_algorithm
Computational complexity class
NP-intermediate, neither having polynomial time nor likely to be NP-hard. The complexity class QP consists of all problems that have quasi-polynomial time algorithms
Quasi-polynomial_time
Classification of computer problems
science – whether P = NP – by showing that the complexity class P is not equal to the complexity class NP. The idea behind the approach is to adopt and
Geometric_complexity_theory
Type of approximation algorithm
means probability greater than 3/4, though as with most probabilistic complexity classes the definition is robust to variations in this exact value (the bare
Polynomial-time approximation scheme
Polynomial-time_approximation_scheme
computational complexity theory of computer science, the structural complexity theory or simply structural complexity is the study of complexity classes, rather
Structural_complexity_theory
Proof checkable by a randomized algorithm
proofs give rise to many complexity classes depending on the number of queries required and the amount of randomness used. The class PCP[r(n), q(n)] refers
Probabilistically checkable proof
Probabilistically_checkable_proof
Complexity class
In computational complexity theory, the complexity class PPP (polynomial pigeonhole principle) is a subclass of TFNP. It is the class of search problems
PPP_(complexity)
Measure of the structural complexity of a software program
after the first command. Cyclomatic complexity may also be applied to individual functions, modules, methods, or classes within a program. One testing strategy
Cyclomatic_complexity
In computational complexity theory, SP 2 is a complexity class, intermediate between the first and second levels of the polynomial hierarchy. A language
S2P_(complexity)
Complexity class
complexity theory, co-NP is a complexity class. A decision problem X is a member of co-NP if and only if its complement X is in the complexity class NP
Co-NP
Complexity class
computational complexity theory, the class QIP (which stands for Quantum Interactive Proof) is the quantum computing analogue of the classical complexity class IP
QIP_(complexity)
Given more time, a Turing machine can solve more problems
time-bounded complexity class, there is a strictly larger time-bounded complexity class, and so the time-bounded hierarchy of complexity classes does not
Time_hierarchy_theorem
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)
Algorithm to search the nodes of a graph
lexicographic one), can be computed by a randomized parallel algorithm in the complexity class RNC. As of 1997, it remained unknown whether a depth-first traversal
Depth-first_search
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)
Complexity class of problems
computational complexity, problems that are in the complexity class NP but are neither in the class P nor NP-complete are called NP-intermediate, and the class of
NP-intermediate
Unsolved problem in computational complexity theory
the computational complexity class NP-intermediate. It is known that the graph isomorphism problem is in the low hierarchy of class NP, which implies
Graph_isomorphism_problem
Concept in computational complexity theory
(Bounded-error Probabilistic Logarithmic-space Polynomial-time), is the complexity class of problems solvable in logarithmic space and polynomial time with
BPL_(complexity)
Existential second order logic captures NP
oldest result of descriptive complexity theory, a branch of computational complexity theory that characterizes complexity classes in terms of logic-based descriptions
Fagin's_theorem
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)
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)
Complexity class of bounded-depth circuits
AC0 (alternating circuit) is a complexity class used in circuit complexity. It is the smallest class in the AC hierarchy, and consists of all families
AC0
complement of a complexity class, called the complement class, which is the set of complements of every problem in the class. If a class is called C, its
Complement_(complexity)
computable functions. The theorem states that there exists no largest complexity class, with computable boundary, which contains all computable functions
Compression_theorem
Quantum Merlin Arthur
abbreviation for Quantum Merlin Arthur, refers to a complexity class in computational complexity theory. It is the set of all formal languages that satisfy
QMA
Complexity class used in circuit complexity
specifically computational complexity theory and circuit complexity, TC0 (Threshold Circuit) is the first class in the hierarchy of TC classes. TC0 contains all
TC0
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
Unproven computational hardness assumption
In computational complexity theory, the exponential time hypothesis or ETH is an unproven computational hardness assumption that was formulated by Impagliazzo
Exponential_time_hypothesis
Method for solving one problem using another
reductions are frequently used in complexity theory for defining both complexity classes and complete problems for those classes. The three most common types
Polynomial-time_reduction
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)
Hamiltonian complexity or quantum Hamiltonian complexity is a topic which deals with problems in quantum complexity theory and condensed matter physics
Hamiltonian_complexity
complexity class contained in PP defined via GapP functions. The class often arises in the context of quantum computing. AWPP contains the complexity
AWPP
Class in computational complexity theory
In computational complexity theory, a decision problem is P-complete (complete for the complexity class P) if it is in P and every problem in P can be
P-complete
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)
Topics referred to by the same term
computational complexity class W[1] in parameterized complexity The Apple W1 wireless pairing chip primarily used in AirPods W1 tram, a class of electric
W1
American-Canadian computer scientist, contributor to complexity theory
mathematics, complexity of higher type functions, complexity of analysis, and lower bounds in propositional proof systems. He named the complexity class NC after
Stephen_Cook
Type of computational problem
In computational complexity theory, a function problem is a computational problem where a single output is expected for every input, but the output is
Function_problem
Quantum algorithm for integer factorization
Hoeven, thus demonstrating that the integer factorization problem is in complexity class BQP. Shor's algorithm is asymptotically faster than the most scalable
Shor's_algorithm
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
This is a list of computability and complexity topics, by Wikipedia page. Computability theory is the part of the theory of computation that deals with
List of computability and complexity topics
List_of_computability_and_complexity_topics
In computational complexity theory, NP/poly is a complexity class, a non-uniform analogue of the class NP of problems solvable in polynomial time by a
NP/poly
Provides lower bounds on the circuit complexity of boolean functions
In computational complexity theory, a natural proof is a certain kind of proof establishing that one complexity class differs from another one. While these
Natural_proof
Concept in computational complexity theory
that is, if they lie in the complexity class P. In modern terms, it identifies tractable problems with the complexity class P. Formally, to say that a
Cobham's_thesis
In computational complexity theory, NLIN is the class of decision problems that can be solved by a nondeterministic multitape Turing machine in linear
NLIN
COMPLEXITY CLASS
COMPLEXITY CLASS
Girl/Female
Tamil
One of complexion of red lotus
Boy/Male
Hindu, Indian
One Having a Soft Complexion
Boy/Male
Muslim
Of reddish hair, Complexion (1)
Boy/Male
Indian, Nigerian, Sanskrit
Young Ruler; Black Complexion
Boy/Male
Hindu, Indian, Traditional
Krishna with a Golden Complexion
Girl/Female
Arabic, Muslim
Of Reddish Complexion
Girl/Female
Arabic, Australian, Indian, Muslim
Form; Figure; Complexion
Boy/Male
Hindu, Indian
One with Pale White Complexion
Boy/Male
American, Australian, British, Chinese, Christian, English, Scottish, Swedish
A Ruddy Complexion; Red Haired; Surname
Girl/Female
Muslim
Form, Figure, Complexion
Girl/Female
Arabic, Muslim
Fair Complexion; Wife of the Prophet PBUH
Boy/Male
African, Hindu, Indian, Swahili
Building; Strength; One with Reddish Complexion
Boy/Male
Australian, Irish
Small with Dark Hair or Complexion
Girl/Female
Bengali, Hebrew, Hindu, Indian, Kannada, Malayalam, Marathi, Telugu
One of Complexion of Red Lotus
Boy/Male
Muslim
Of reddish hair or complexion.
Girl/Female
Tamil
A woman having a white complexion
Girl/Female
Hindu
A woman having a white complexion
Boy/Male
Australian, British, English, Irish, Welsh
Fair; White; Friend; Complexion; Handsome
Boy/Male
Hindu, Indian, Kannada, Telugu
One who has a Moon Like Complexion
Girl/Female
Hindu, Indian
Girl with a Golden Complexion
COMPLEXITY CLASS
COMPLEXITY CLASS
Female
Babylonian
, star.
Boy/Male
Muslim
Blessing, Boon, Favor
Girl/Female
Teutonic American English Greek Italian
Intelligence of an eagle.
Female
Greek
(ΖÎνια) Variant spelling of Greek Xenia, ZENIA means "stranger, foreigner," but sometimes rendered "hospitable (esp. to foreigners)."
Boy/Male
Tamil
A priest
Girl/Female
Hindu, Indian, Malayalam, Telugu
Famous in Every Where
Boy/Male
Hindu
The Sun which bestows wealth
Boy/Male
Tamil
Sound
Boy/Male
Indian, Sanskrit
Mooing of the Cow
Girl/Female
Bengali, Indian, Telugu
Special
COMPLEXITY CLASS
COMPLEXITY CLASS
COMPLEXITY CLASS
COMPLEXITY CLASS
COMPLEXITY CLASS
n.
Complexity.
n.
A combination; a complex.
n.
The state of being complex; complexity.
n.
Redness; complexion.
a.
Having a sickly complexion; pale.
n.
The state of being complex; complexity.
n.
The state of being complex; intricacy; entanglement.
n.
The state of being an accomplice; participation in guilt.
adv.
In a complex manner; not simply.
n.
The bodily constitution; the temperament; habitude, or natural disposition; character; nature.
n.
The general appearance or aspect; as, the complexion of the sky; the complexion of the news.
pl.
of Complexity
a.
Of or pertaining to constitutional complexion.
n.
The color or hue of the skin, esp. of the face.
n.
One who has a sickly, pale complexion.
n.
Complexion; color; hue; likeness; form.
n.
A liquid cosmetic for the complexion.
pl.
of Complicity
n.
Complexion; aspect; appearance.
n.
That which is complex; intricacy; complication.