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  2. Greedy algorithm - Wikipedia

    en.wikipedia.org/wiki/Greedy_algorithm

    Greedy algorithms determine the minimum number of coins to give while making change. These are the steps most people would take to emulate a greedy algorithm to represent 36 cents using only coins with values {1, 5, 10, 20}. The coin of the highest value, less than the remaining change owed, is the local optimum.

  3. Greedy randomized adaptive search procedure - Wikipedia

    en.wikipedia.org/wiki/Greedy_randomized_adaptive...

    The greedy randomized adaptive search procedure (also known as GRASP) is a metaheuristic algorithm commonly applied to combinatorial optimization problems. GRASP typically consists of iterations made up from successive constructions of a greedy randomized solution and subsequent iterative improvements of it through a local search . [ 1 ]

  4. Sparse approximation - Wikipedia

    en.wikipedia.org/wiki/Sparse_approximation

    Stage-wise greedy methods: Improved variations over the above are algorithms that operate greedily while adding two critical features: (i) the ability to add groups of non-zeros at a time (instead of one non-zero per round); and (ii) including a pruning step in each round in which several of the atoms are discarded from the support.

  5. Best-first search - Wikipedia

    en.wikipedia.org/wiki/Best-first_search

    Best-first search is a class of search algorithms which explores a graph by expanding the most promising node chosen according to a specified rule.. Judea Pearl described best-first search as estimating the promise of node n by a "heuristic evaluation function () which, in general, may depend on the description of n, the description of the goal, the information gathered by the search up to ...

  6. Optimal substructure - Wikipedia

    en.wikipedia.org/wiki/Optimal_substructure

    Typically, a greedy algorithm is used to solve a problem with optimal substructure if it can be proven by induction that this is optimal at each step. [1] Otherwise, provided the problem exhibits overlapping subproblems as well, divide-and-conquer methods or dynamic programming may be used. If there are no appropriate greedy algorithms and the ...

  7. Category:Greedy algorithms - Wikipedia

    en.wikipedia.org/wiki/Category:Greedy_algorithms

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  8. images.huffingtonpost.com

    images.huffingtonpost.com/2012-08-30-3258_001.pdf

    Created Date: 8/30/2012 4:52:52 PM

  9. Matching pursuit - Wikipedia

    en.wikipedia.org/wiki/Matching_pursuit

    In the basic version of an algorithm, the large dictionary needs to be searched at each iteration. Improvements include the use of approximate dictionary representations and suboptimal ways of choosing the best match at each iteration (atom extraction). [9] The matching pursuit algorithm is used in MP/SOFT, a method of simulating quantum ...