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  2. Dynamic programming - Wikipedia

    en.wikipedia.org/wiki/Dynamic_programming

    Dynamic programming is both a mathematical optimization method and an algorithmic paradigm. ... For example, given a graph G=(V,E), ...

  3. Dijkstra's algorithm - Wikipedia

    en.wikipedia.org/wiki/Dijkstra's_algorithm

    From a dynamic programming point of view, Dijkstra's algorithm is a successive approximation scheme that solves the dynamic programming functional equation for the shortest path problem by the Reaching method. [33] [34] [35] In fact, Dijkstra's explanation of the logic behind the algorithm: [36] Problem 2.

  4. Longest path problem - Wikipedia

    en.wikipedia.org/wiki/Longest_path_problem

    For the class of interval graphs, an ()-time algorithm is known, which uses a dynamic programming approach. [19] This dynamic programming approach has been exploited to obtain polynomial-time algorithms on the greater classes of circular-arc graphs [20] and of co-comparability graphs (i.e. of the complements of comparability graphs, which also ...

  5. Bellman equation - Wikipedia

    en.wikipedia.org/wiki/Bellman_equation

    Bellman flow chart. A Bellman equation, named after Richard E. Bellman, is a necessary condition for optimality associated with the mathematical optimization method known as dynamic programming. [1]

  6. List of NP-complete problems - Wikipedia

    en.wikipedia.org/wiki/List_of_NP-complete_problems

    Minor testing (checking whether an input graph contains an input graph as a minor); the same holds with topological minors; Steiner tree, or Minimum spanning tree for a subset of the vertices of a graph. [2] (The minimum spanning tree for an entire graph is solvable in polynomial time.) Modularity maximization [5]

  7. Baker's technique - Wikipedia

    en.wikipedia.org/wiki/Baker's_technique

    Dynamic programming is used when we compute the maximum-weight independent set for each . This dynamic program works because each is a -outerplanar graph. Many NP-complete problems can be solved with dynamic programming on -outerplanar graphs. Baker's technique can be interpreted as covering the given planar graphs with subgraphs of this type ...

  8. Graph coloring - Wikipedia

    en.wikipedia.org/wiki/Graph_coloring

    If the graph is planar and has low branch-width (or is nonplanar but with a known branch decomposition), then it can be solved in polynomial time using dynamic programming. In general, the time required is polynomial in the graph size, but exponential in the branch-width.

  9. Dynamic problem (algorithms) - Wikipedia

    en.wikipedia.org/wiki/Dynamic_problem_(algorithms)

    Dynamic problems in computational complexity theory are problems stated in terms of changing input data. In its most general form, a problem in this category is usually stated as follows: In its most general form, a problem in this category is usually stated as follows: