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Algorithm for computing the maximal flow of a network
Dinic's algorithm or Dinitz's algorithm is a strongly polynomial algorithm for computing the maximum flow in a flow network, conceived in 1970 by Israeli
Dinic's_algorithm
Soviet and Israeli computer scientist
polynomial-time algorithms. He invented Dinic's algorithm for computing maximal flow, and he was one of the inventors of the Four Russians' algorithm for multiplying
Yefim_Dinitz
Topics referred to by the same term
Dinic may refer to: Dinić, a surname Dinič, a surname DiNic, a surname Dinic's algorithm This disambiguation page lists articles associated with the title
Dinic
An algorithm is a fundamental set of rules or defined procedures that are typically designed and used to be a simpler way to solve a specific problem
List_of_algorithms
Algorithm for maximum cardinality matching
science, the Hopcroft–Karp algorithm (sometimes more accurately called the Hopcroft–Karp–Karzanov algorithm) is an algorithm that takes a bipartite graph
Hopcroft–Karp_algorithm
Algorithm for linear programming
optimization, Dantzig's simplex algorithm (or simplex method) is an algorithm for linear programming. The name of the algorithm is derived from the concept
Simplex_algorithm
Directed graph where edges have a capacity
outbreaks. Braess's paradox Centrality Ford–Fulkerson algorithm Edmonds-Karp algorithm Dinic's algorithm Traffic flow (computer networking) Flow graph (disambiguation)
Flow_network
Parallel version of breadth-first search algorithm
graph algorithms. For instance, BFS is used by Dinic's algorithm to find maximum flow in a graph. Moreover, BFS is also one of the kernel algorithms in Graph500
Parallel_breadth-first_search
Computational problem in graph theory
Jr. and Delbert R. Fulkerson created the first known algorithm, the Ford–Fulkerson algorithm. In their 1955 paper, Ford and Fulkerson wrote that the
Maximum_flow_problem
Algorithm to compute the maximum flow in a network
Ford–Fulkerson algorithm (FFA) is a greedy algorithm that computes the maximum flow in a flow network. It is sometimes called a "method" instead of an "algorithm" as
Ford–Fulkerson_algorithm
Class of computational problems
vertices. Algorithms for constructing flows include Dinic's algorithm, a strongly polynomial algorithm for maximum flow The Edmonds–Karp algorithm, a faster
Network_flow_problem
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
The following timeline of algorithms outlines the development of algorithms (mainly "mathematical recipes") since their inception. Before – writing about
Timeline_of_algorithms
Algorithm used to solve non-linear least squares problems
In mathematics and computing, the Levenberg–Marquardt algorithm (LMA or just LM), also known as the damped least-squares (DLS) method, is used to solve
Levenberg–Marquardt_algorithm
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
Optimization algorithm
computer science and operations research, the ant colony optimization algorithm (ACO) is a probabilistic technique for solving computational problems
Ant colony optimization algorithms
Ant_colony_optimization_algorithms
Algorithm to compute the maximum flow in a flow network
In computer science, the Edmonds–Karp algorithm is an implementation of the Ford–Fulkerson method for computing the maximum flow in a flow network in
Edmonds–Karp_algorithm
Optimization by removing non-optimal solutions to subproblems
an algorithm design paradigm for discrete and combinatorial optimization problems, as well as mathematical optimization. A branch-and-bound algorithm consists
Branch_and_bound
Linear programming algorithm
Karmarkar's algorithm is an algorithm introduced by Narendra Karmarkar in 1984 for solving linear programming problems. It was the first reasonably efficient
Karmarkar's_algorithm
Optimization algorithm
The Frank–Wolfe algorithm is an iterative first-order optimization algorithm for constrained convex optimization. Also known as the conditional gradient
Frank–Wolfe_algorithm
Population-based search algorithm
computer science and operations research, the bees algorithm is a population-based search algorithm which was developed by Pham, Ghanbarzadeh et al. in
Bees_algorithm
Problem used to illustrate synchronization issues and techniques for resolving them
In computer science, the dining philosophers problem is an example problem often used in concurrent algorithm design to illustrate synchronization issues
Dining_philosophers_problem
Method of solving linear programming problems
linear programming problems using the simplex algorithm. The Big M method extends the simplex algorithm to problems that contain "greater-than" constraints
Big_M_method
Optimization method
In numerical optimization, the Broyden–Fletcher–Goldfarb–Shanno (BFGS) algorithm is an iterative method for solving unconstrained nonlinear optimization
Broyden–Fletcher–Goldfarb–Shanno algorithm
Broyden–Fletcher–Goldfarb–Shanno_algorithm
Optimization algorithm
technique which belongs to the family of local search. It is an iterative algorithm that starts with an arbitrary solution to a problem, then attempts to
Hill_climbing
Optimization algorithm
unconstrained mathematical optimization. It is a first-order iterative algorithm for minimizing a differentiable multivariate function. The idea is to
Gradient_descent
In mathematical optimization, Lemke's algorithm is a procedure for solving linear complementarity problems, and more generally mixed linear complementarity
Lemke's_algorithm
Algorithm in mathematical optimization
mathematical optimization, the push–relabel algorithm (alternatively, preflow–push algorithm) is an algorithm for computing maximum flows in a flow network
Push–relabel maximum flow algorithm
Push–relabel_maximum_flow_algorithm
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
Data structure for representing a forest
problem, link/cut trees can be used to improve the running time of Dinic's algorithm from O ( V 2 E ) {\displaystyle O(V^{2}E)} to O ( V E log V ) {\displaystyle
Link/cut_tree
Solution to the critical section problem
The Eisenberg & McGuire algorithm is an algorithm for solving the critical sections problem, a general version of the dining philosophers problem. It was
Eisenberg_&_McGuire_algorithm
Subfield of mathematical optimization
tractable, and so specialized algorithms that quickly rule out large parts of the search space or approximation algorithms must be resorted to instead.
Combinatorial_optimization
Metaheuristic proposed by Xin-She Yang
firefly algorithm is a metaheuristic proposed by Xin-She Yang and inspired by the flashing behavior of fireflies. In pseudocode the algorithm can be stated
Firefly_algorithm
Technique for finding an extremum of a function
but very robust. The technique derives its name from the fact that the algorithm maintains the function values for four points whose three interval widths
Golden-section_search
Algorithm for finding zeros of functions
method, named after Isaac Newton and Joseph Raphson, is a root-finding algorithm which produces successively better approximations to the roots (or zeroes)
Newton's_method
Optimization algorithm
an optimization algorithm in the collection of quasi-Newton methods that approximates the Broyden–Fletcher–Goldfarb–Shanno algorithm (BFGS) using a limited
Limited-memory_BFGS
Algorithm in computer science
science and operations research, the artificial bee colony algorithm (ABC) is an optimization algorithm based on the intelligent foraging behaviour of honey
Artificial bee colony algorithm
Artificial_bee_colony_algorithm
Mathematical optimization problem restricted to integers
Branch and bound algorithms have a number of advantages over algorithms that only use cutting planes. One advantage is that the algorithms can be terminated
Integer_programming
Study of mathematical algorithms for optimization problems
of the simplex algorithm that are especially suited for network optimization Combinatorial algorithms Quantum optimization algorithms The iterative methods
Mathematical_optimization
Combinatorial optimization method
to integer values. Branch and cut involves running a branch and bound algorithm and using cutting planes to tighten the linear programming relaxations
Branch_and_cut
The Fireworks Algorithm (FWA) is a swarm intelligence algorithm that explores a very large solution space by choosing a set of random points confined
Fireworks_algorithm
Problem optimization method
Dynamic programming (DP) is both a mathematical optimization method and an algorithmic paradigm. The method was developed by Richard Bellman in the 1950s and
Dynamic_programming
Resource shortage in computers
Starvation may be caused by errors in a scheduling or mutual exclusion algorithm, but can also be caused by resource leaks, and can be intentionally caused
Resource_starvation
Technique for speeding up algorithms involving Boolean matrices
speedup," is a technique for speeding up algorithms involving Boolean matrices, or more generally algorithms involving matrices in which each cell may
Method_of_Four_Russians
Optimization technique
designed to find, generate, tune, or select a heuristic (partial search algorithm) that may provide a sufficiently good solution to an optimization problem
Metaheuristic
Primal-Dual algorithm optimization for convex problems
In mathematics, the Chambolle–Pock algorithm is an algorithm used to solve convex optimization problems. It was introduced by Antonin Chambolle and Thomas
Chambolle–Pock_algorithm
Iterative method for minimizing convex functions
an approximation algorithm for real convex minimization was studied by Arkadi Nemirovski and David B. Yudin (Judin). As an algorithm for solving linear
Ellipsoid_method
Mathematical algorithm for eliminating variables from a system of linear inequalities
a mathematical algorithm for eliminating variables from a system of linear inequalities. It can output real solutions. The algorithm is named after Joseph
Fourier–Motzkin_elimination
Mathematical algorithm
optimization algorithm that successively minimizes along coordinate directions to find the minimum of a function. At each iteration, the algorithm determines
Coordinate_descent
Form of Newton's method used in statistics
Scoring algorithm, also known as Fisher's scoring, is a form of Newton's method used in statistics to solve maximum likelihood equations numerically,
Scoring_algorithm
Optimization algorithm
the spiral optimization (SPO) algorithm is a metaheuristic inspired by spiral phenomena in nature. The first SPO algorithm was proposed for two-dimensional
Spiral_optimization_algorithm
Numerical approximation algorithm
hill climbing, Newton's method, or quasi-Newton methods like BFGS, is an algorithm of an iterative method or a method of successive approximation. An iterative
Iterative_method
Numerical optimization algorithm
shrink the simplex towards a better point. An intuitive explanation of the algorithm from "Numerical Recipes": The downhill simplex method now takes a series
Nelder–Mead_method
Algorithm for solving the quadratic programming problem from training SVMs
Sequential minimal optimization (SMO) is an algorithm for solving the quadratic programming (QP) problem that arises during the training of support-vector
Sequential minimal optimization
Sequential_minimal_optimization
Optimization algorithm
h(x_{k})^{T}d\geq 0\\&g(x_{k})+\nabla g(x_{k})^{T}d=0.\end{array}}} The SQP algorithm starts from the initial iterate ( x 0 , λ 0 , σ 0 ) {\displaystyle (x_{0}
Sequential quadratic programming
Sequential_quadratic_programming
Subfield of convex optimization
solutions from exact solvers but in only 10-20 algorithm iterations. Hazan has developed an approximate algorithm for solving SDPs with the additional constraint
Semidefinite_programming
Sequential model-based optimization of expensive black-box functions
and William J. Welch introduced the efficient global optimization (EGO) algorithm, which used a kriging or Gaussian-process model with expected improvement
Bayesian_optimization
Concept in mathematics
is an iterative optimization algorithm for finding a local minimum of a differentiable function. It generalizes algorithms such as gradient descent and
Mirror_descent
Collective behavior of decentralized, self-organized systems
swarm robotics while swarm intelligence refers to the more general set of algorithms. Swarm prediction has been used in the context of forecasting problems
Swarm_intelligence
Computer compiler optimization technique
works followed up on the Poletto's linear scan algorithm. Traub et al., for instance, proposed an algorithm called second-chance binpacking aiming at generating
Register_allocation
makes them important for obtaining domain knowledge. In addition, the algorithms for multimodal optimization usually not only locate multiple optima in
Evolutionary multimodal optimization
Evolutionary_multimodal_optimization
Method for mathematical optimization
optimization, the criss-cross algorithm is any of a family of algorithms for linear programming. Variants of the criss-cross algorithm also solve more general
Criss-cross_algorithm
Algorithm for solving linear programs
Column generation or delayed column generation is an efficient algorithm for solving large linear programs. The overarching idea is that many linear programs
Column_generation
Optimization algorithm
In operations research, cuckoo search is an optimization algorithm developed by Xin-She Yang and Suash Deb in 2009. It has been shown to be a special
Cuckoo_search
Optimizing objective functions that have constrained variables
COP is a CSP that includes an objective function to be optimized. Many algorithms are used to handle the optimization part. A general constrained minimization
Constrained_optimization
The Bat algorithm is a metaheuristic algorithm for global optimization. It was inspired by the echolocation behaviour of microbats, with varying pulse
Bat_algorithm
Quantum physics-based metaheuristic for optimization problems
Apolloni, N. Cesa Bianchi and D. De Falco as a quantum-inspired classical algorithm. It was formulated in its present form by T. Kadowaki and H. Nishimori
Quantum_annealing
Solving an optimization problem with a quadratic objective function
Lagrangian, conjugate gradient, gradient projection, extensions of the simplex algorithm. In the case in which Q is positive definite, the problem is a special
Quadratic_programming
the Sleator-Tarjan algorithm, a variant of Dinic's algorithm, whose run-time is in O(|V| |E| log |V|) = O(m2 log n). A later algorithm by Orlin (2013) requires
Optimal_stable_matching
Surname list
Dinitz conjecture about partial Latin squares, made by Jeff Dinitz Dinic's algorithm for finding the maximal flow through a network, invented by Yefim
Dinitz
Solving multiple machine learning tasks at the same time
Multi-task learning works because regularization induced by requiring an algorithm to perform well on a related task can be superior to regularization that
Multi-task_learning
Linear programming algorithm
p. 372, §13.4. Morgan, S. S. (1997). A Comparison of Simplex Method Algorithms (MSc thesis). University of Florida. Archived from the original on 7 August
Revised_simplex_method
Local search algorithm
it has violated a rule, it is marked as "tabu" (forbidden) so that the algorithm does not consider that possibility repeatedly. The word tabu comes from
Tabu_search
Iterative optimisation algorithm
method, also called Powell's hybrid method, is an iterative optimisation algorithm for the solution of non-linear least squares problems, introduced in 1970
Powell's_dog_leg_method
The Great deluge algorithm (GD) is a generic algorithm applied to optimization problems. It is similar in many ways to the hill-climbing and simulated
Great_deluge_algorithm
The brain storm optimization algorithm is a heuristic algorithm that focuses on solving multi-modal problems, such as radio antennas design worked on by
Brain storm optimization algorithm
Brain_storm_optimization_algorithm
algorithm of Khachiyan Projective algorithm of Karmarkar Basis-exchange Simplex algorithm of Dantzig Revised simplex algorithm Criss-cross algorithm Principal
Sequential linear-quadratic programming
Sequential_linear-quadratic_programming
Class of algorithms for solving constrained optimization problems
Augmented Lagrangian methods are a certain class of algorithms for solving constrained optimization problems. They have similarities to penalty methods
Augmented_Lagrangian_method
Optimization algorithm
quasi-Newton algorithm was proposed by William C. Davidon, a physicist working at Argonne National Laboratory. He developed the first quasi-Newton algorithm in
Quasi-Newton_method
Algorithms for solving convex optimization problems
IPMs) are algorithms for solving linear and non-linear convex optimization problems. IPMs combine two advantages of previously-known algorithms: Theoretically
Interior-point_method
The rider optimization algorithm (ROA) is devised based on a novel computing method, namely fictional computing that undergoes series of process to solve
Rider_optimization_algorithm
agents. Problems defined with this framework can be solved by any of the algorithms that are designed for it. The framework was used under different names
Distributed constraint optimization
Distributed_constraint_optimization
Subfield of mathematical optimization
sets). Many classes of convex optimization problems admit polynomial-time algorithms, whereas mathematical optimization is in general NP-hard. A convex optimization
Convex_optimization
Unit hypercube of variable dimension whose corners have been perturbed
perturbed. Klee and Minty demonstrated that George Dantzig's simplex algorithm has poor worst-case performance when initialized at one corner of their
Klee–Minty_cube
Optimization algorithm
f(\mathbf {x} _{k+1})\|<\epsilon } At the line search step (2.3), the algorithm may minimize h exactly, by solving h ′ ( α k ) = 0 {\displaystyle h'(\alpha
Line_search
Berndt–Hall–Hall–Hausman (BHHH) algorithm is a numerical optimization algorithm similar to the Newton–Raphson algorithm, but it replaces the observed negative
Berndt–Hall–Hall–Hausman algorithm
Berndt–Hall–Hall–Hausman_algorithm
Optimization method
algorithm of Khachiyan Projective algorithm of Karmarkar Basis-exchange Simplex algorithm of Dantzig Revised simplex algorithm Criss-cross algorithm Principal
Davidon–Fletcher–Powell formula
Davidon–Fletcher–Powell_formula
Algorithm for finding a local minimum of a function
Powell's method, strictly Powell's conjugate direction method, is an algorithm proposed by Michael J. D. Powell for finding a local minimum of a function
Powell's_method
Term in mathematical optimization
by Sorensen (1982). A popular textbook by Fletcher (1980) calls these algorithms restricted-step methods. Additionally, in an early foundational work on
Trust_region
Secure multi-party computation protocol
is not easy to achieve in practice. A related anonymous veto network algorithm computes the logical OR of several users' inputs, rather than a logical
Dining_cryptographers_problem
The humanoid ant algorithm (HUMANT) is an ant colony optimization algorithm. The algorithm is based on a priori approach to multi-objective optimization
Humanoid_ant_algorithm
Algorithm for solving linear programming problems
In mathematical optimization, affine scaling is an algorithm for solving linear programming problems. Specifically, it is an interior point method, discovered
Affine_scaling
Mathematical combinatorial optimization method
the linear programming relaxation (LP relaxation). At the start of the algorithm, sets of columns are excluded from the LP relaxation in order to reduce
Branch_and_price
Type of algorithm for constrained optimization
In mathematical optimization, penalty methods are a certain class of algorithms for solving constrained optimization problems. A penalty method replaces
Penalty_method
Mathematical optimization algorithms
also known as Hessian-free optimization, are a family of optimization algorithms designed for optimizing non-linear functions with large numbers of independent
Truncated_Newton_method
In optimization, a gradient method is an algorithm to solve problems of the form min x ∈ R n f ( x ) {\displaystyle \min _{x\in \mathbb {R} ^{n}}\;f(x)}
Gradient_method
British computer scientist (1934–2026)
scientist who made foundational contributions to programming languages, algorithms, operating systems, formal verification, and concurrent computing. His
Tony_Hoare
Continuous function whose value increases to infinity
algorithm of Khachiyan Projective algorithm of Karmarkar Basis-exchange Simplex algorithm of Dantzig Revised simplex algorithm Criss-cross algorithm Principal
Barrier_function
these ones, whose behavior encompasses the multiple parallel execution of algorithm components that cooperate in some way to solve a problem on a given parallel
Parallel_metaheuristic
Inequalities for inexact line search
+ {\displaystyle \alpha \in \mathbb {R} ^{+}} exactly. A line search algorithm can use Wolfe conditions as a requirement for any guessed α {\displaystyle
Wolfe_conditions
DINICS ALGORITHM
DINICS ALGORITHM
Female
English
English variant spelling of French Denise, DENICE means "follower of Dionysos."
Surname or Lastname
English
English : variant spelling of Dimmick.Perhaps an Americanized form of Serbian Dimić, from the personal name Dima, a pet form of Dimitrije, from Greek Dēmētrios (Latin Demetrius; see Demetriou).Americanized spelling of Slovenian Dimic : nickname for a gray-haired man, from the noun dimec ‘graybeard’, a derivative of the adjective dimast ‘dark gray’. The form Dimec is also found as a Slovenian name.
Male
English
 Anglicized form of Irish Gaelic Donnchadh, DENIS means "brown warrior." Compare with another form of Denis.
Girl/Female
Latin
Give.
Male
English
 Anglicized form of Irish Gaelic Donnchadh, DINIS means "brown warrior." Compare with another form of Dinis.
Male
French
 French form of English Dennis, DENIS means "follower of Dionysos." Compare with another form of Denis.
Girl/Female
English
Feminine God will judge.
Female
Slavic
(Даница) Slavic name DANICA means "morning star."
Boy/Male
British, English, French, Greek, Latin
Greek God of Wine
Girl/Female
Slavic American
Morning star.
Boy/Male
Greek
Follower of Dionysius (Greek god of wine).
Male
Portuguese
 Portuguese form of French Denis, DINIS means "follower of Dionysos." Compare with another form of Dinis.
Boy/Male
Australian, Christian, Greek, Portuguese
Follower of Dionysius
Girl/Female
French American
Feminine of Denis or Denys from the Greek name Dionysus.
Girl/Female
Hindu, Indian
Rising Sun
Girl/Female
British, English, Greek, Spanish
From Dionysus God of Wine; Follower of Dionysius
Girl/Female
Australian, Indian, Italian, Latin
The Morning Star; Give; Form of Donna; Lady
Boy/Male
Anglo Saxon
Danish.
Girl/Female
English
Combination of Deana (divine) and Dina (from the valley; avenged).
Girl/Female
Spanish
From Dionysus god of wine.
DINICS ALGORITHM
DINICS ALGORITHM
Girl/Female
Muslim
Attainment, Achievement, A bird
Girl/Female
Christian, Greek, Indian
Pure
Boy/Male
Hindu, Indian
Ocean
Girl/Female
African, Arabic, Muslim, Swahili
Symmetry
Boy/Male
Bengali, Hindu, Indian, Kannada, Telugu
Prosperous
Girl/Female
Muslim
Lady
Male
English
Irish Anglicized form of Gaelic Fionnbarr, FINBAR means "fair-headed."
Boy/Male
Hindu, Indian, Punjabi, Sikh, Traditional
Lord Indra; Love for the Truth
Boy/Male
Hebrew
Cherished. Famous bearers: British pop star David Bowie, American talk-show host David Letterman.
Boy/Male
Tamil
Manickaraj | மாஂநீசà¯à®•à®¾à®°à®¾à®œÂ
King of gem
DINICS ALGORITHM
DINICS ALGORITHM
DINICS ALGORITHM
DINICS ALGORITHM
DINICS ALGORITHM
n. & a.
from Dine, a.
a.
Of or pertaining to the pine; obtained from the pine; formerly, designating an acid which is the chief constituent of common resin, -- now called abietic, or sylvic, acid.
n.
One who dines.
n.
The science of dining.
n.
One who traverses, or denies.
n.
One who gainsays, contradicts, or denies.
a.
See Quinic.
n.
An end; conclusion. It is often placed at the end of a book.
a.
Of or pertaining to wine; as, vinic alcohol.
n.
Conic sections.
a.
Of or pertaining to Odin.
n.
The science of civil government.
n.
One who mimics; a mimic.
n.
That branch of geometry which treats of the cone and the curves which arise from its sections.
n.
One who abnegates, denies, or rejects anything.
n.
An animal having only two digits.
p. pr. & vb. n.
of Dine
a.
Having only two digits; two-toed.
a.
Having five digits to the hand or foot.
n.
Meal-taking; dining or supping.