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Attempts to formalize the concept of algorithms
Algorithm characterizations are attempts to formalize the word algorithm. Algorithm does not have a generally accepted formal definition. Researchers
Algorithm_characterizations
Sequence of operations for a task
aversion Algorithm engineering Algorithm characterizations Algorithmic bias Algorithmic composition Algorithmic entities Algorithmic synthesis Algorithmic technique
Algorithm
Sequence of locally optimal choices
A greedy algorithm is an algorithm which, at each step, makes the choice that is locally optimal, and subsequently does not reconsider past choices. Greedy
Greedy_algorithm
satisfy the problem constraints as soon as possible. Algorithm engineering Algorithm characterizations Theory of computation "technique | Definition of technique
Algorithmic_technique
Class of algorithms that find approximate solutions to optimization problems
computer science and operations research, approximation algorithms are efficient algorithms that find approximate solutions to optimization problems
Approximation_algorithm
Overview of and topical guide to computer programming
concerns Threaded coding List of algorithms List of algorithm general topics Algorithm characterizations Introduction to Algorithms Theory of computation Computational
Outline of computer programming
Outline_of_computer_programming
Algorithm for virtual memory implementation
system that uses paging for virtual memory management, page replacement algorithms decide which memory pages to page out, sometimes called swap out, or write
Page_replacement_algorithm
Technological phenomenon with social implications
Algorithmic bias describes systematic and repeatable harmful tendency in a computerized sociotechnical system to create "unfair" outcomes, such as "privileging"
Algorithmic_bias
Graph of intervisible locations in computational geometry
constructing the visibility graph, and applying a shortest path algorithm such as Dijkstra's algorithm to the graph. For planning the motion of a robot that has
Visibility_graph
Algorithm that outputs all solutions to a problem
science, an enumeration algorithm is an algorithm that enumerates the answers to a computational problem. Formally, such an algorithm applies to problems
Enumeration_algorithm
Improved reduction for specific matrices
In numerical linear algebra, the tridiagonal matrix algorithm, also known as the Thomas algorithm (named after Llewellyn Thomas), is a simplified form
Tridiagonal_matrix_algorithm
Type of abstract computing machine
description plus examples One-instruction set computer Algorithm Algorithm characterizations Halting problem Busy beaver Stack machine WDR paper computer
Register_machine
Theorem in computational complexity theory
probabilistically checkable proofs (proofs that can be checked by a randomized algorithm) of constant query complexity and logarithmic randomness complexity (uses
PCP_theorem
Mathematical construct in computer algebra
word" for having two different characterizations of Gröbner bases. All the following assertions are characterizations of Gröbner bases: a polynomial f
Gröbner_basis
Unsolved problem in computer science
polynomial function on the size of the input to the algorithm. The general class of questions that some algorithm can answer in polynomial time is "P" or "class
P_versus_NP_problem
3D computer graphics procedure
Newell's Algorithm is a 3D computer graphics procedure for elimination of polygon cycles in the depth sorting required in hidden surface removal. It was
Newell's_algorithm
Determining where a point is in relation to a coplanar polygon
ray intersection algorithm. This algorithm is sometimes also known as the crossing number algorithm or the even–odd rule algorithm, and was known as
Point_in_polygon
Number, approximately 3.14
simple spigot algorithm in 1995. Its speed is comparable to arctan algorithms, but not as fast as iterative algorithms. Another spigot algorithm, the BBP digit
Pi
Mathematical function, inverse of an exponential function
commonplace in scientific formulae, and in measurements of the complexity of algorithms and of geometric objects called fractals. They help to describe frequency
Logarithm
Method to solve optimization problems
affine (linear) function defined on this polytope. A linear programming algorithm finds a point in the polytope where this function has the largest (or
Linear_programming
Binary sequence
Intuitively, an algorithmically random sequence (or random sequence) is a sequence of binary digits that appears random to any algorithm running on a (prefix-free
Algorithmically random sequence
Algorithmically_random_sequence
Topic in computer science
super-fast algorithms for approximate decision making, where the decision refers to properties or parameters of huge objects. A property testing algorithm for
Property_testing
Statistical Markov model
maximum likelihood estimation. For linear chain HMMs, the Baum–Welch algorithm can be used to estimate parameters. Hidden Markov models are known for
Hidden_Markov_model
Graph divided into two independent sets
Robert (2004), Algorithms in Java, Part 5: Graph Algorithms (3rd ed.), Addison Wesley, pp. 109–111. Kleinberg, Jon; Tardos, Éva (2006), Algorithm Design, Addison
Bipartite_graph
Selection is a genetic operator in an evolutionary algorithm (EA). An EA is a metaheuristic inspired by biological evolution and aims to solve challenging
Selection (evolutionary algorithm)
Selection_(evolutionary_algorithm)
Field of machine learning
which is concerned mostly with the existence and characterization of optimal solutions, and algorithms for their exact computation, and less with learning
Reinforcement_learning
Task of computing complete subgraphs
time algorithm is known for this problem, more efficient algorithms than the brute-force search are known. For instance, the Bron–Kerbosch algorithm can
Clique_problem
Complexity class used to classify decision problems
"nondeterministic, polynomial time". These two definitions are equivalent because the algorithm based on the Turing machine consists of two phases, the first of which
NP_(complexity)
Stream cipher
Subhamoy; Paul, Goutam (2008). "A Complete Characterization of the Evolution of RC4 Pseudo Random Generation Algorithm". Journal of Mathematical Cryptology
RC4
Independent set which is not a subset of any other independent set
algorithm; setting δ=1 gives the totally parallel algorithm. ANALYSIS: With a proper selection of the parameter δ in the partially parallel algorithm
Maximal_independent_set
Set of edges without common vertices
general graph is much more difficult; it can be done using Edmonds' blossom algorithm. Given a graph G = (V, E), a matching M in G is a set of pairwise non-adjacent
Matching_(graph_theory)
Algorithm to approximate functions
The Remez algorithm or Remez exchange algorithm, published by Evgeny Yakovlevich Remez in 1934, is an iterative algorithm used to find simple approximations
Remez_algorithm
Graph representing edges of another graph
of changed edges at each step. The algorithms of Roussopoulos (1973) and Lehot (1974) are based on characterizations of line graphs involving odd triangles
Line_graph
Mathematical system of orderings or sets
Levit, Vadim E. (2003), "Correspondence between two antimatroid algorithmic characterizations", Electronic Journal of Combinatorics, 10 R44: Research Paper
Antimatroid
Point minimizing sum of distances to given points
points — but it has been shown that no explicit formula, nor an exact algorithm involving only arithmetic operations and kth roots, can exist in general
Geometric_median
Grouping a set of objects by similarity
analysis refers to a family of algorithms and tasks rather than one specific algorithm. It can be achieved by various algorithms that differ significantly
Cluster_analysis
The Yannakakis algorithm is an algorithm in database theory for evaluating acyclic join queries (more generally, (alpha-)acyclic conjunctive queries,
Yannakakis_algorithm
Finiteness of sets of forbidden graph minors
{\mathcal {H}}=\{K_{5},K_{3,3}\}} . The existence of forbidden minor characterizations for all minor-closed graph families is an equivalent way of stating
Robertson–Seymour_theorem
Rational number sequence
describes an algorithm for generating Bernoulli numbers with Babbage's machine; it is disputed whether Lovelace or Babbage developed the algorithm. As a result
Bernoulli_number
Describing a family of graphs by excluding certain (sub)graphs
an obstruction set for that family. Forbidden graph characterizations may be used in algorithms for testing whether a graph belongs to a given family
Forbidden graph characterization
Forbidden_graph_characterization
Graph that can be embedded in the plane
is central to the left-right planarity testing algorithm; Schnyder's theorem gives a characterization of planarity in terms of partial order dimension;
Planar_graph
Matching which covers every node of the graph
graph admits a perfect matching can be done in polynomial time, using any algorithm for finding a maximum cardinality matching. However, counting the number
Perfect_matching
The Shapiro—Senapathy algorithm (S&S) is a computational method for identifying splice sites in eukaryotic genes. The algorithm employs a Position Weight
Shapiro–Senapathy_algorithm
Set system used in greedy optimization
by greedy algorithms. Around 1980, Korte and Lovász introduced the greedoid to further generalize this characterization of greedy algorithms; hence the
Greedoid
Class of problems in computer science
defined by Gill in 1977. If a decision problem is in PP, then there is an algorithm running in polynomial time that is allowed to make random decisions, such
PP_(complexity)
Concurrency control method for collaborative software
control algorithms that seek alternative ways to design transformation algorithms, but do not fit well with the above taxonomy and characterization. For
Operational_transformation
Classical problem in combinatorics
gives a factor- log n {\displaystyle \scriptstyle \log n} approximation algorithm for the minimum set cover problem. See setcover for a detailed explanation
Set_cover_problem
System where only the inputs and outputs can be viewed, and not its implementation
to many inner workings, such as those of a transistor, an engine, an algorithm, the human brain, or an institution or government. To analyze an open
Black_box
Iterative method for approximating eigenvectors
In numerical linear algebra, the Arnoldi iteration is an eigenvalue algorithm and an important example of an iterative method. Arnoldi finds an approximation
Arnoldi_iteration
Noise that reduces quantization error
several algorithms designed to perform dithering. One of the earliest, and still one of the most popular, is the Floyd–Steinberg dithering algorithm, which
Dither
Finding the smallest circle that contains all given points
algorithm for the minimum covering circle problem that runs in expected time O ( n ) {\displaystyle O(n)} , based on a linear programming algorithm of
Smallest-circle_problem
Intersection graph for intervals on the real number line
approach using a 6-sweep LexBFS algorithm is described in Corneil, Olariu & Stewart (2009). By the characterization of interval graphs as AT-free chordal
Interval_graph
the mathematical theory of probability, Buzen's algorithm (or convolution algorithm) is an algorithm for calculating the normalization constant G(N) in
Buzen's_algorithm
colour refinement algorithm also known as the naive vertex classification, or the 1-dimensional version of the Weisfeiler-Leman algorithm, is a routine used
Colour_refinement_algorithm
Computation model defining an abstract machine
Despite the model's simplicity, it is capable of implementing any computer algorithm. The machine operates on an infinite memory tape divided into discrete
Turing_machine
Clustering algorithm minimizing the sum of distances to k representatives
that the programmer must specify k before the execution of a k-medoids algorithm). The "goodness" of the given value of k can be assessed with methods
K-medoids
Visibility in 3D computer graphics
seen from a particular viewing angle. A hidden-surface determination algorithm is a solution to the visibility problem, which was one of the first major
Hidden-surface_determination
Class of problems solvable in polynomial time
simply be composed with the main polynomial-time algorithm to reduce it to a polynomial-time algorithm on a more basic machine. Languages in P are also
P_(complexity)
Matrix decomposition
{\displaystyle M} . Two-sided Jacobi SVD algorithm—a generalization of the Jacobi eigenvalue algorithm—is an iterative algorithm where a square matrix is iteratively
Singular_value_decomposition
language known by the agent, e.g. German. See more about this at Algorithm characterizations, in particular Searle's opinion that outside any computation
History of the Church–Turing thesis
History_of_the_Church–Turing_thesis
Square matrix without an inverse
system A x = 0 {\displaystyle Ax=0} admits non-zero solutions. These characterizations follow from standard rank-nullity and invertibility theorems: for
Singular_matrix
Form of radar used to create images of landscapes
lenses of conical, cylindrical and spherical shape. The Range-Doppler algorithm is an example of a more recent approach. Synthetic-aperture radar determines
Synthetic-aperture_radar
Graph with tight clique-coloring relation
of certain forbidden induced subgraphs, leading to a polynomial time algorithm for testing whether a graph is perfect. A clique in an undirected graph
Perfect_graph
Use of empirical methods to study algorithms
deals with the analysis and characterization of the behavior of algorithms, and the second (known as algorithm design or algorithm engineering) is focused
Empirical_algorithmics
Image edge detection algorithm
Canny edge detector is an edge detection operator that uses a multi-stage algorithm to detect a wide range of edges in images. It was developed by John F
Canny_edge_detector
Probabilistic primality test
or Rabin–Miller primality test is a probabilistic primality test: an algorithm which determines whether a given number is likely to be prime, similar
Miller–Rabin_primality_test
Mathematical concept
(1986). "On the completeness and constructiveness of parametric characterizations to vector optimization problems". OR Spektrum. 8 (2): 73–78. doi:10
Multi-objective_optimization
Mathematical logic concept
There is an algorithm such that the set of input numbers for which the algorithm halts is exactly S. Or, equivalently, There is an algorithm that enumerates
Computably_enumerable_set
Mathematical function that can be computed by a program
computability theory. Informally, a function is computable if there is an algorithm that computes the value of the function for every value of its argument
Computable_function
Subfield of computer science and mathematics
Group on Algorithms and Computation Theory (SIGACT) provides the following description: TCS covers a wide variety of topics including algorithms, data structures
Theoretical_computer_science
Algorithm to assess the integrity of GPS signals
RAIM algorithms in detail. In addition to the Measurement Rejection Approach (MRA) algorithms used in aviation, there is also an Error Characterization Approach
Receiver autonomous integrity monitoring
Receiver_autonomous_integrity_monitoring
Randomized polynomial time class of computational complexity theory
small fraction of the paths. This characterization makes the fact that RP is a subset of NP obvious. Randomized algorithm This comparison is attributed to
RP_(complexity)
Directed graph where every node has exactly one path to it from the root
all edges point away from the root; a number of other equivalent characterizations exist. Every arborescence is a directed acyclic graph (DAG), but not
Arborescence_(graph_theory)
Intersection graph for a set of arcs on a circle
algorithm. Joeris et al. (2009) give other characterizations of this class, which imply a recognition algorithm that runs in O(n+m) time when the input is
Circular-arc_graph
Computational benchmark
has a superpolynomial speedup over the best known or possible classical algorithm for that task. Examples of proposals to demonstrate quantum supremacy
Quantum_supremacy
Study of computation
the sciences, computer science spans theoretical disciplines (such as algorithms, theory of computation, and information theory) to applied disciplines
Computer_science
Approach used in computer vision systems
of the earliest corner detection algorithms and defines a corner to be a point with low self-similarity. The algorithm tests each pixel in the image to
Corner_detection
Depth-first characterization of planar graphs
planarity testing algorithm. In a 2003 experimental comparison of six planarity testing algorithms, this was one of the fastest algorithms tested. For any
Left-right_planarity_test
Edge whose deletion would disconnect a graph
Ci. C=C1,C2,... is then a chain decomposition of G. The following characterizations then allow to read off several properties of G from C efficiently
Bridge_(graph_theory)
Family of graphs whose shallow minors are sparse graphs
theorems for these families. Families with these properties have efficient algorithms for problems including the subgraph isomorphism problem and model checking
Bounded_expansion
Computational model used in machine learning
Knight. However, these early efforts did not lead to a working learning algorithm for hidden units, i.e., deep learning.[citation needed] The perceptron
Neural network (machine learning)
Neural_network_(machine_learning)
Independence system partitionable into circuits
collect several additional characterizations of Eulerian binary matroids, from which they derive a polynomial time algorithm for testing whether a binary
Eulerian_matroid
Graph theory problem: find a matching containing the most edges
this algorithm is given by the more elaborate Hopcroft–Karp algorithm, which searches for multiple augmenting paths simultaneously. This algorithm runs
Maximum-cardinality_matching
Graph linking pairs of comparable elements in a partial order
perfectly orderable graphs, a subclass of perfect graphs: a greedy coloring algorithm for a topological ordering of a transitive orientation of the graph will
Comparability_graph
Combining of sensor data from disparate sources
of sensors Sensor fusion is a term that covers a number of methods and algorithms, including: Kalman filter Bayesian networks Dempster–Shafer Convolutional
Sensor_fusion
Algorithms for matrix decomposition
factorization (NMF or NNMF), also non-negative matrix approximation is a group of algorithms in multivariate analysis and linear algebra where a matrix V is factorized
Non-negative matrix factorization
Non-negative_matrix_factorization
On forbidden subgraphs in planar graphs
of the input graph. This allows the correctness of a planarity testing algorithm to be verified for nonplanar inputs, as it is straightforward to test
Kuratowski's_theorem
Representation of a graph as a path graph "thickened" by some amount
computed in polynomial time without dependence on k. Many problems in graph algorithms may be solved efficiently on graphs of bounded pathwidth, by using dynamic
Pathwidth
Graph path which is an induced subgraph
independent sets, unless NP=ZPP, there does not exist a polynomial time algorithm for approximating the longest induced path or the longest induced cycle
Induced_path
Graph whose induced subgraphs preserve distance
(2012), "Split decomposition and graph-labelled trees: Characterizations and fully dynamic algorithms for totally decomposable graphs", Discrete Applied Mathematics
Distance-hereditary_graph
Network protocol and related functions
specification specified an algorithm to characterize NAT behavior according to the address and port mapping behavior. This algorithm is not reliably successful
STUN
Decentralized machine learning
pharmaceuticals. Federated learning aims at training a machine learning algorithm, for instance deep neural networks, on multiple local datasets contained
Federated_learning
Graph where all long cycles have a chord
ISBN 0-387-95434-1. Parra, Andreas; Scheffler, Petra (1997), "Characterizations and algorithmic applications of chordal graph embeddings", Discrete Applied
Chordal_graph
Interdisciplinary research area
learning (QML) is the study of quantum algorithms for machine learning. It often refers to quantum algorithms for machine learning tasks which analyze
Quantum_machine_learning
Matroid that can be represented over all fields
signed graph − K 5 {\displaystyle -K_{5}} . There is a polynomial time algorithm for testing whether a matroid is regular, given access to the matroid
Regular_matroid
Chordal graph where all cycles of even length have odd chords
De Caria, P.; McKee, T.A. (2014), "Maxclique and unit disk characterizations of strongly chordal graphs", Discussiones Mathematicae Graph Theory
Strongly_chordal_graph
Variant of heap data structure
Strothotte "An Algorithm for Merging Heaps", Acta Informatica 22, 171-186 (1985). Sack, Jörg-Rüdiger; Strothotte, Thomas (1990). "A characterization of heaps
Binary_heap
One of the equivalent characterizations of word-hyperbolic groups is as those admitting finite presentations where Dehn's algorithm solves the word problem
Small_cancellation_theory
Digit transferred from one column to another
another column of more significant digits. It is part of the standard algorithm to add numbers together by starting with the rightmost digits and working
Carry_(arithmetic)
Trail in which only the first and last vertices are equal
connected. For directed graphs, distributed message-based algorithms can be used. These algorithms rely on the idea that a message sent by a vertex in a cycle
Cycle_(graph_theory)
ALGORITHM CHARACTERIZATIONS
ALGORITHM CHARACTERIZATIONS
ALGORITHM CHARACTERIZATIONS
ALGORITHM CHARACTERIZATIONS
Boy/Male
British, English
Shorn Head
Girl/Female
Hindu, Indian
Lovely; Beautiful
Boy/Male
Indian
Friend
Surname or Lastname
English
English : variant of Boone.
Boy/Male
Bengali, Gujarati, Hindu, Indian, Kannada, Malayalam, Marathi, Telugu
One of the Vedas; The First Veda; Name of a Veda
Boy/Male
English American German
Nickname for William 'resolute protector' often used as an independent name.
Boy/Male
Hindu, Indian, Tamil
Happy; Joyful
Girl/Female
British, English, Greek
Pearl; Diminutive of Margaret
Girl/Female
Tamil
Vamshika | வாமà¯à®·à¯€à®•à®¾
Flute
Boy/Male
Tamil
Beautiful morning, The name of a star
ALGORITHM CHARACTERIZATIONS
ALGORITHM CHARACTERIZATIONS
ALGORITHM CHARACTERIZATIONS
ALGORITHM CHARACTERIZATIONS
ALGORITHM CHARACTERIZATIONS
n.
See Algorism.
n.
The art of calculating by nine figures and zero.
n.
Alt. of Algorithm
n.
The art of calculating with any species of notation; as, the algorithms of fractions, proportions, surds, etc.