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  2. Longest path problem - Wikipedia

    en.wikipedia.org/wiki/Longest_path_problem

    In graph theory and theoretical computer science, the longest path problem is the problem of finding a simple path of maximum length in a given graph.A path is called simple if it does not have any repeated vertices; the length of a path may either be measured by its number of edges, or (in weighted graphs) by the sum of the weights of its edges.

  3. Optimal substructure - Wikipedia

    en.wikipedia.org/wiki/Optimal_substructure

    Longest path problem; Addition-chain exponentiation; Least-cost airline fare. Using online flight search, we will frequently find that the cheapest flight from airport A to airport B involves a single connection through airport C, but the cheapest flight from airport A to airport C involves a connection through some other airport D.

  4. Longest uncrossed knight's path - Wikipedia

    en.wikipedia.org/wiki/Longest_uncrossed_knight's...

    The longest uncrossed (or nonintersecting) knight's path is a mathematical problem involving a knight on the standard 8×8 chessboard or, more generally, on a square n×n board. The problem is to find the longest path the knight can take on the given board, such that the path does not intersect itself.

  5. Dijkstra's algorithm - Wikipedia

    en.wikipedia.org/wiki/Dijkstra's_algorithm

    Find the path of minimum total length between two given nodes P and Q. We use the fact that, if R is a node on the minimal path from P to Q, knowledge of the latter implies the knowledge of the minimal path from P to R. is a paraphrasing of Bellman's Principle of Optimality in the context of the shortest path problem.

  6. A* search algorithm - Wikipedia

    en.wikipedia.org/wiki/A*_search_algorithm

    A* is an informed search algorithm, or a best-first search, meaning that it is formulated in terms of weighted graphs: starting from a specific starting node of a graph, it aims to find a path to the given goal node having the smallest cost (least distance travelled, shortest time, etc.).

  7. Pathfinding - Wikipedia

    en.wikipedia.org/wiki/Pathfinding

    Equivalent paths between A and B in a 2D environment. Pathfinding or pathing is the search, by a computer application, for the shortest route between two points. It is a more practical variant on solving mazes.

  8. Worst-case execution time - Wikipedia

    en.wikipedia.org/wiki/Worst-case_execution_time

    Tools take into account the structure of the software (e.g. loops, branches), to produce an estimate of the WCET of the larger program. The rationale is that it's hard to test the longest path in complex software, but it is easier to test the longest path in many smaller components of it.

  9. Widest path problem - Wikipedia

    en.wikipedia.org/wiki/Widest_path_problem

    In this graph, the widest path from Maldon to Feering has bandwidth 29, and passes through Clacton, Tiptree, Harwich, and Blaxhall. In graph algorithms, the widest path problem is the problem of finding a path between two designated vertices in a weighted graph, maximizing the weight of the minimum-weight edge in the path.