Searches , social queries for REDUCTION COMPLEXITY
Search references for REDUCTION COMPLEXITY. Phrases containing REDUCTION COMPLEXITY
See searches and references containing REDUCTION COMPLEXITY!
Search references for REDUCTION COMPLEXITY. Phrases containing REDUCTION COMPLEXITY
See searches and references containing REDUCTION COMPLEXITY!REDUCTION COMPLEXITY
Transformation of one computational problem to another
computational complexity theory, a reduction is an algorithm for transforming one problem into another problem. A sufficiently efficient reduction from one
Reduction_(complexity)
Inherent difficulty of computational problems
types of reductions, based on the method of reduction, such as Cook reductions, Karp reductions and Levin reductions, and the bound on the complexity of reductions
Computational complexity theory
Computational_complexity_theory
Method for solving one problem using another
In computational complexity theory, a polynomial-time reduction is a method for solving one problem using another. One shows that if a hypothetical subroutine
Polynomial-time_reduction
Problem transformation for counting solutions
In the computational complexity theory of counting problems, a polynomial-time counting reduction is a type of reduction (a transformation from one problem
Polynomial-time counting reduction
Polynomial-time_counting_reduction
Type of computational algorithm
In computational complexity theory, a log-space reduction is a reduction computable by a deterministic Turing machine using logarithmic space. Conceptually
Log-space_reduction
first-order reduction is a very strong type of reduction between two computational problems in computational complexity theory. A first-order reduction is a
First-order_reduction
Algorithm for transforming one optimization problem into another
theory and computational complexity theory, especially the study of approximation algorithms, an approximation-preserving reduction is an algorithm for transforming
Approximation-preserving reduction
Approximation-preserving_reduction
Notion in computational complexity theory
computational complexity theory and game complexity, a parsimonious reduction is a transformation from one problem to another (a reduction) that preserves
Parsimonious_reduction
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
Concept in computability theory
the program implementing the Turing reduction may use. These limits on the computational complexity of the reduction are important when studying subrecursive
Turing_reduction
computational complexity of decision problems. The term L reduction is sometimes used to refer to log-space reductions, by analogy with the complexity class L
L-reduction
Type of Turing reduction
computability theory and computational complexity theory, a many-one reduction (also called mapping reduction) is a reduction that converts instances of one decision
Many-one_reduction
In computational complexity theory, a fine-grained reduction is a transformation from one computational problem to another, used to relate the difficulty
Fine-grained_reduction
Topics referred to by the same term
expression into a simpler form Reduction (complexity), a transformation of one problem into another problem Data reduction, simplifying data in order to
Reduction
Method of comparing problems by transforming one into another in computability theory
In computability theory, many reducibility relations (also called reductions, reducibilities, and notions of reducibility) are studied. They are motivated
Reduction (computability theory)
Reduction_(computability_theory)
Subfield of computational complexity theory
exponents. Fine-grained complexity addresses this by mimicking NP-completeness at a finer scale, using fine-grained reductions which show that a polynomial-factor
Fine_grained_complexity
Complexity class
problems Reduction (complexity) Unknowability van Leeuwen, Jan, ed. (1998). Handbook of Theoretical Computer Science. Vol. A, Algorithms and complexity. Amsterdam:
NP-hardness
Concept in theoretical computer science
In computability theory, a truth-table reduction is a type of reduction from a decision problem A {\displaystyle A} to a decision problem B {\displaystyle
Truth-table_reduction
Philosophical view explaining systems in terms of smaller parts
different concepts for different degrees of complexity while affirming a reduction of theories. The idea of reductionism can be expressed by "levels" of explanation
Reductionism
Unproven computational hardness assumption
In computational complexity theory, the exponential time hypothesis (ETH) states that satisfiability of 3-CNF Boolean formulas (3-SAT) cannot be solved
Exponential_time_hypothesis
Concept in computability theory
functions from P {\displaystyle P} . Mučnik reducibility Turing reducibility Reduction (computability) Hinman, Peter G. (2012). "A survey of Mučnik and Medvedev
Medvedev_reducibility
In computability theory two sets A , B {\displaystyle A,B} of natural numbers are computably isomorphic or recursively isomorphic if there exists a total
Computable_isomorphism
Reduction between decision problems that preserves strong NP-completeness
In computational complexity theory, a pseudo-polynomial transformation is a kind of reduction between decision problems that preserves strong NP-completeness
Pseudo-polynomial transformation
Pseudo-polynomial_transformation
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
Subunit of a computational problem
In computational complexity theory, a gadget is a subunit of a problem instance that simulates the behavior of one of the fundamental units of a different
Gadget_(computer_science)
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
Approximation-preserving reduction
In computational complexity theory, a PTAS reduction is an approximation-preserving reduction that is often used to perform reductions between solutions
PTAS_reduction
Notion of the "hardest" or "most general" problem in a complexity class
the complexity class. More formally, a problem p is called hard for a complexity class C under a given type of reduction if there exists a reduction (of
Complete_(complexity)
Complexity class
In computational complexity theory, NP-complete problems are the hardest of the problems to which solutions can be verified quickly. NP is short for "nondeterministic
NP-completeness
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
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)
Concept in computability theory
solution of P {\displaystyle P} . Medvedev reducibility Turing reducibility Reduction (computability) Hinman, Peter G. (2012). "A survey of Mučnik and Medvedev
Mučnik_reducibility
Karp's 21 NP-complete problems List of PSPACE-complete problems Reduction (complexity) Grigoriev & Bodlaender (2007). Karp (1972) Garey & Johnson (1979)
List_of_NP-complete_problems
Algorithm for solving systems of linear equations
In mathematics, Gaussian elimination, also known as row reduction, is an algorithm for solving systems of linear equations. It consists of a sequence
Gaussian_elimination
Technique in mathematical modeling
Model order reduction (MOR) is a technique for reducing the computational complexity of mathematical models in numerical simulations. As such it is closely
Model_order_reduction
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)
also is. In one of the possible formalizations of the concept, a Turing reduction from A to B is a Turing machine augmented with a special instruction "query
Enumeration_reducibility
Complexity class of approximable problems
their value, hence the exponential factor. Approximation-preserving reduction Complexity class Approximation algorithm Max/min CSP/Ones classification theorems
APX
2^{n^{2}/2}} bound of the LLL reduction. KZ has exponential complexity versus the polynomial complexity of the LLL reduction algorithm, however it may still
Korkine–Zolotarev lattice basis reduction algorithm
Korkine–Zolotarev_lattice_basis_reduction_algorithm
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
Computational complexity class
equal to the complexity class DTIME(2O(n)). E, unlike the similar class EXPTIME, is not closed under polynomial-time many-one reductions. E is contained
E_(complexity)
(although this has not been proven). The closure of any complexity class under Turing reductions is a superset of that class that is closed under complement
Complement_(complexity)
If there is a polynomial time algorithm for unambiguous-SAT, then NP equals RP
The Valiant–Vazirani theorem is a theorem in computational complexity theory stating that if there is a polynomial time algorithm for Unambiguous-SAT,
Valiant–Vazirani_theorem
Branch of computational complexity theory
For a computational complexity theory, we need a notion of what it means to be tractable, methods of comparing problems (reductions), and classes we regard
Parameterized_complexity
Set of computational problems stated by Richard Karp (1973)
In computational complexity theory, Karp's 21 NP-complete problems are a set of computational problems which are NP-complete. In his 1972 paper, "Reducibility
Karp's 21 NP-complete problems
Karp's_21_NP-complete_problems
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
Complexity class
complete", 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 (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)
Excessive desire to acquire and consume material goods
analysis Happiness economics – Study of happiness and quality of life Reduction (complexity) – Transformation of one computational problem to another Conspicuous
Economic_materialism
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)
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
Computational problems no algorithm can solve
taken into account. Lists of problems List of unsolved problems Reduction (complexity) Unknowability Wells, J. B. (1993). "Typability and type checking
List_of_undecidable_problems
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)
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
Algorithmic complexity class
3-SAT is NEXP-complete under polynomial-time reductions. Papadimitriou, Christos (1994). Computational Complexity. Addison-Wesley. ISBN 0-201-53082-1. Section
EXPTIME
Algorithm in computational number theory
=3/4} . Note that although LLL-reduction is well-defined for δ = 1 {\displaystyle \delta =1} , the polynomial-time complexity is guaranteed only for δ {\displaystyle
Lenstra–Lenstra–Lovász lattice basis reduction algorithm
Lenstra–Lenstra–Lovász_lattice_basis_reduction_algorithm
Topics referred to by the same term
science Pesetas, Spanish currency PTAS reduction, an approximation-preserving reduction in computational complexity theory Preferential trading area, another
PTAS
Abstract machine used to study decision problems
In complexity theory and computability theory, an oracle machine is an abstract machine that can query a black box called an oracle, which is able to give
Oracle_machine
Complexity class
https://complexityzoo.net/Complexity_Zoo:F#fp Complexity Zoo: FP Bürgisser, Peter (2000). Completeness and reduction in algebraic complexity theory. Algorithms
FP_(complexity)
Theory of a quantum origin of consciousness
Orchestrated objective reduction (Orch OR) is a controversial theory postulating that consciousness originates at the quantum level inside neurons (rather
Orchestrated objective reduction
Orchestrated_objective_reduction
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)
Computational complexity class
definition, it is contained in NEXPTIME. NE, unlike NEXPTIME, is not closed under polynomial-time many-one reductions. E (complexity) Complexity Zoo: NE v t e
NE_(complexity)
Class of computational complexity
}{=}}PSPACE}}} More unsolved problems in computer science In computational complexity theory, PSPACE is the set of all decision problems that can be solved
PSPACE
Type of computational problem
In computational complexity theory and computability theory, a counting problem is a type of computational problem that is obtained by strengthening a
Counting_problem_(complexity)
Yes/no problem in computer science
this reduction is more liberal than the standard reduction used in computational complexity (sometimes called polynomial-time many-one reduction); for
Decision_problem
Copy of a directed graph with redundant edges removed
in the reduction. Transitive reductions were introduced by Aho, Garey & Ullman (1972), who provided tight bounds on the computational complexity of constructing
Transitive_reduction
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
Measure in risk analysis
demand, the complexity of the device(s), and types of redundancy used. PFD (probability of dangerous failure on demand) and RRF (risk reduction factor) of
Safety_integrity_level
Adage in human-computer interaction
However, Bruce Tognazzini proposes that people resist reductions to the amount of complexity in their lives. Thus, when an application is simplified
Law of conservation of complexity
Law_of_conservation_of_complexity
Topics referred to by the same term
brand ran by typographer Robert Norton Parsimonious reduction, a type of reduction in complexity theory Frugality Philosophical razor Simplicity This
Parsimony
Correspondence between quantum channels and quantum states
In quantum information theory and operator theory, the Choi–Jamiołkowski isomorphism refers to the correspondence between quantum channels (described by
Choi–Jamiołkowski_isomorphism
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
Numerical method that reduces the complexity of computationally intensive simulations
orthogonal decomposition is a numerical method that enables a reduction in the complexity of computer intensive simulations such as computational fluid
Proper orthogonal decomposition
Proper_orthogonal_decomposition
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)
Hashing technique
a "spot" or server to place that particular BLOB in O(logN) or O(N) complexities respectively; and in every iteration, which happens in clockwise manner
Consistent_hashing
System composed of many interacting components
and Complexity", exploring the diversity of problem types by contrasting problems of simplicity, disorganized complexity, and organized complexity. Weaver
Complex_system
American philosopher (born 1941)
and the Logical Structure of Function Statements", "Complexity and Organization", and "Reductionism, levels of organization, and the mind-body problem"
William_C._Wimsatt
Type of computer science algorithm
that space complexity also has varied choices in whether or not to count the index lengths as part of the space used. Often, the space complexity is given
In-place_algorithm
(assuming, e.g., reductions that belong to ELEMENTARY). The PR class can be divided into an infinite hierarchy of increasingly large complexity levels, according
PR_(complexity)
Theorem in computational complexity theory
a deterministic polynomial-time Turing reduction to a counting problem. An analogous result in the complexity theory over the reals (in the sense of Blum–Shub–Smale
Toda's_theorem
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
Class in computational complexity theory
complexity class is strictly smaller than the P class, one immediately conclude that all P-complete and P-hard problems (assuming the same reduction type)
P-complete
In computational complexity theory, CC (Comparator Circuits) is the complexity class containing decision problems which can be solved by comparator circuits
CC_(complexity)
Mathematical-logic system
results. The notion of computational complexity for the lambda calculus is a bit tricky, because the cost of a β-reduction may vary depending on how it is
Lambda_calculus
Boolean satisfiability is NP-complete and therefore that NP-complete problems exist
In computational complexity theory, the Cook–Levin theorem, also known as Cook's theorem, states that the Boolean satisfiability problem is NP-complete
Cook–Levin_theorem
Reduction method involving hydrazine
The Wolff–Kishner reduction is a reaction used in organic chemistry to convert carbonyl functionalities into methylene groups. In the context of complex
Wolff–Kishner_reduction
Problem of determining if a Boolean formula could be made true
in the complexity class NP can be reduced to the SAT problem for CNF formulas, sometimes called CNFSAT. A useful property of Cook's reduction is that
Boolean satisfiability problem
Boolean_satisfiability_problem
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
Volatility, uncertainty, complexity and ambiguity in leadership
Burt Nanus, to describe or to reflect on the volatility, uncertainty, complexity and ambiguity of general conditions and situations. The U.S. Army War
VUCA
theory). Social identity complexity may be a crucial factor to consider in applying social psychological models of bias reduction. Poetics – like coolitude
Social_identity_complexity
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
In computational complexity theory, a sparse language is a formal language (a set of strings) such that the complexity function, counting the number of
Sparse_language
Computational property
In computational complexity, strong NP-completeness is a property of computational problems that is a special case of NP-completeness. A general computational
Strong_NP-completeness
Study of complexity classes
computational complexity theory of computer science, the structural complexity theory or simply structural complexity is the study of complexity classes, rather
Structural_complexity_theory
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)
OV in complexity theory
In computational complexity theory, the Orthogonal Vectors (OV) problem is a fundamental problem that is used to prove conditional lower bounds under the
Orthogonal_vectors_problem
Discrete Fourier transform algorithm
of sparse (mostly zero) factors. As a result, it manages to reduce the complexity of computing the DFT from O(n2), which arises if one simply applies the
Fast_Fourier_transform
Projection of data onto lower-dimensional manifolds
Nonlinear dimensionality reduction (NLDR), also known as manifold learning, is any of various related techniques that aim to project high-dimensional
Nonlinear dimensionality reduction
Nonlinear_dimensionality_reduction
Complexity class
polynomial-time reduction from the problem of integer factorization to problems complete for PPA. Christos Papadimitriou (1994). "On the complexity of the parity
PPA_(complexity)
American-Canadian computer scientist, contributor to complexity theory
who has made significant contributions to the fields of complexity theory and proof complexity. He is a university professor emeritus at the University
Stephen_Cook
travel, tourism, insurance
REDUCTION COMPLEXITY
REDUCTION COMPLEXITY
REDUCTION COMPLEXITY
REDUCTION COMPLEXITY
REDUCTION COMPLEXITY
REDUCTION COMPLEXITY
REDUCTION COMPLEXITY
REDUCTION COMPLEXITY
REDUCTION COMPLEXITY
travel, tourism, insurance