Algorithms that find provably near-optimal answers to hard optimization problems in reasonable time, such as the Christofides algorithm, randomized rounding, polynomial-time approximation schemes and the nearest neighbour heuristic for the travelling salesman problem. An algorithm belongs here when its cited article calls it an approximation algorithm or approximation scheme. It excludes exact methods. A member is placed here by what its own cited article states about it, not by the name of the algorithm or by the uses it is put to today, so each entry sits in the group its source describes it as belonging to.
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Approximation Algorithms
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Wikipedia: Nearest neighbour algorithm
Has Member: Nearest Neighbour Algorithm, Lead sectionQuote, Has Member: Nearest Neighbour Algorithm, Lead section
one of the first algorithms used to solve the travelling salesman problem approximately
View the Source Wikipedia: Randomized rounding
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approach for designing and analyzing approximation algorithms
View the Source Fully polynomial-time approximation scheme (Wikipedia)
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is an algorithm for finding approximate solutions
View the Source Parameterized approximation algorithm (Wikipedia)
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aims to find approximate solutions to NP-hard optimization problems
View the Source Wikipedia: Karloff-Zwick algorithm
Has Member: Karloff-Zwick Algorithm, Lead sectionQuote, Has Member: Karloff-Zwick Algorithm, Lead section
randomised approximation algorithm
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