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  2. Greedy algorithm - Wikipedia

    en.wikipedia.org/wiki/Greedy_algorithm

    The matching pursuit is an example of a greedy algorithm applied on signal approximation. A greedy algorithm finds the optimal solution to Malfatti's problem of finding three disjoint circles within a given triangle that maximize the total area of the circles; it is conjectured that the same greedy algorithm is optimal for any number of circles.

  3. Longest-processing-time-first scheduling - Wikipedia

    en.wikipedia.org/wiki/Longest-processing-time...

    Longest-processing-time-first (LPT) is a greedy algorithm for job scheduling.The input to the algorithm is a set of jobs, each of which has a specific processing-time.There is also a number m specifying the number of machines that can process the jobs.

  4. 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 ...

  5. Ford–Fulkerson algorithm - Wikipedia

    en.wikipedia.org/wiki/Ford–Fulkerson_algorithm

    The Ford–Fulkerson method or 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 the approach to finding augmenting paths in a residual graph is not fully specified [1] or it is specified in several implementations with different running times. [2]

  6. Prim's algorithm - Wikipedia

    en.wikipedia.org/wiki/Prim's_algorithm

    In computer science, Prim's algorithm is a greedy algorithm that finds a minimum spanning tree for a weighted undirected graph. This means it finds a subset of the edges that forms a tree that includes every vertex, where the total weight of all the edges in the tree is minimized. The algorithm operates by building this tree one vertex at a ...

  7. The Fear and Greed Index: Definition and Examples - AOL

    www.aol.com/finance/fear-greed-index-definition...

    Investors have two primary emotions, fear and greed, according to CNN Money. The Fear and Greed Index measures how investors across the entire stock market are feeling at any given point. Here’s ...

  8. What is 'lemonading'? Why playful people are better at coping ...

    www.aol.com/lifestyle/lemonading-why-playful...

    According to a new study, those who take the more playful approach are better at finding creative solutions to cope and deal with adversity. But even if your immediate reaction isn’t to make ...

  9. Optimal substructure - Wikipedia

    en.wikipedia.org/wiki/Optimal_substructure

    Consider finding a shortest path for traveling between two cities by car, as illustrated in Figure 1. Such an example is likely to exhibit optimal substructure. That is, if the shortest route from Seattle to Los Angeles passes through Portland and then Sacramento, then the shortest route from Portland to Los Angeles must pass through Sacramento too.