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Greedy algorithm

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 algorithms are often used to solve combinatorial optimization problems. If an optimization problem only depends on the partial solution of solving it for one subproblem, we can solve this problem by…

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Characterizations

Further examples

Greedy algorithms on graphs

Greedy approximation algorithms

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Map overview Semantic statistics

Greedy algorithm

Nodes58
Edges57
Triples58
Avg. degree1.97
Density0.034483
Components1

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Greedy algorithm

Top relations

related to Further examples · 18
Greedy algorithm → Egyptian, Fibonacci, Frobenius, Greedy, However, ID3, In, Instances, Location, Malfatti's, NP-hard, One, Subtracting, The, Unlike, Using, Zecekndorf, Zeckendorf
related to Greedy algorithms on graphs · 9
Greedy algorithm → Computing, Dijkstra's, Graph, Huffman, Kruskal's, Lempel-Ziv-Welch, Prim's, The Sequitur, They
related to Characterizations · 7
Greedy algorithm → However, Jack Edmonds, Later Bernhard Korte, László Lovász, Prim's, Since, This
related to External links · 7
Greedy algorithm → EMS Press, Encyclopedia, Gift, Greedy, Mathematics, Noah, Python
related to Correctness · 4
Greedy algorithm → Assume, One, The, This
related to Greedy approximation algorithms · 4
Greedy algorithm → Another, NP-complete, Theta, This
see also · 3
Greedy algorithm → Best-first, Egyptian, Mathematics
is a · 2
Greedy algorithm → algorithm which, special case of a dynamic programming algorithm

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Important terminology

greedy algorithm solution algorithms problem optimal example used one time may solutions optimization fibonacci routing tree problems yield given number

Entity relationships Subject–Predicate–Object triples

SubjectPredicateObjectConfidenceSrc
Greedy algorithmis aalgorithm which0.90text
Greedy algorithmis aspecial case of a dynamic programming algorithm0.90text
the Huffman coding algorithminstance ofwhich solves this problem sorts the tasks by the end time and then repeatedly chooses the first task that begins after the last task ended.Many classic algorithms in computer sc…0.80text
Prim's algorithminstance ofwhich solves this problem sorts the tasks by the end time and then repeatedly chooses the first task that begins after the last task ended.Many classic algorithms in computer sc…0.80text
Kruskal's algorithminstance ofwhich solves this problem sorts the tasks by the end time and then repeatedly chooses the first task that begins after the last task ended.Many classic algorithms in computer sc…0.80text
and Dijkstra's algorithm all use greedy properties in their designinstance ofwhich solves this problem sorts the tasks by the end time and then repeatedly chooses the first task that begins after the last task ended.Many classic algorithms in computer sc…0.80text
Greedy algorithmrelated to CharacterizationsSince0.60section
Greedy algorithmrelated to CharacterizationsHowever0.60section
Greedy algorithmrelated to CharacterizationsJack Edmonds0.60section
Greedy algorithmrelated to CharacterizationsLater Bernhard Korte0.60section
Greedy algorithmrelated to CharacterizationsLászló Lovász0.60section
Greedy algorithmrelated to CharacterizationsThis0.60section

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