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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. 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 ...

  4. 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 ]

  5. 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 ...

  6. Category:Greedy algorithms - Wikipedia

    en.wikipedia.org/wiki/Category:Greedy_algorithms

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  7. Greedy coloring - Wikipedia

    en.wikipedia.org/wiki/Greedy_coloring

    The right example generalises to 2-colorable graphs with n vertices, where the greedy algorithm expends n/2 colors. In the study of graph coloring problems in mathematics and computer science , a greedy coloring or sequential coloring [ 1 ] is a coloring of the vertices of a graph formed by a greedy algorithm that considers the vertices of the ...

  8. 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.

  9. Grundy number - Wikipedia

    en.wikipedia.org/wiki/Grundy_number

    The numbers indicate the order in which the greedy algorithm colors the vertices. In graph theory , the Grundy number or Grundy chromatic number of an undirected graph is the maximum number of colors that can be used by a greedy coloring strategy that considers the vertices of the graph in sequence and assigns each vertex its first available ...