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  2. Jump point search - Wikipedia

    en.wikipedia.org/wiki/Jump_point_search

    In computer science, jump point search (JPS) is an optimization to the A* search algorithm for uniform-cost grids. It reduces symmetries in the search procedure by means of graph pruning, [1] eliminating certain nodes in the grid based on assumptions that can be made about the current node's neighbors, as long as certain conditions relating to the grid are satisfied.

  3. Jump search - Wikipedia

    en.wikipedia.org/wiki/Jump_search

    The algorithm can be modified by performing multiple levels of jump search on the sublists, before finally performing the linear search. For a k-level jump search the optimum block size m l for the l th level (counting from 1) is n (k-l)/k. The modified algorithm will perform k backward jumps and runs in O(kn 1/(k+1)) time.

  4. Category:Articles with example Java code - Wikipedia

    en.wikipedia.org/wiki/Category:Articles_with...

    Jump to content. Main menu. ... Pages in category "Articles with example Java code" ... Boyer–Moore string-search algorithm; Bridge pattern;

  5. Search algorithm - Wikipedia

    en.wikipedia.org/wiki/Search_algorithm

    Specific applications of search algorithms include: Problems in combinatorial optimization, such as: . The vehicle routing problem, a form of shortest path problem; The knapsack problem: Given a set of items, each with a weight and a value, determine the number of each item to include in a collection so that the total weight is less than or equal to a given limit and the total value is as ...

  6. Backjumping - Wikipedia

    en.wikipedia.org/wiki/Backjumping

    Establishing whether a jump is safe is not always feasible, as safe jumps are defined in terms of the set of solutions, which is what the algorithm is trying to find. In practice, backjumping algorithms use the lowest index they can efficiently prove to be a safe jump. Different algorithms use different methods for determining whether a jump is ...

  7. Search-based software engineering - Wikipedia

    en.wikipedia.org/wiki/Search-based_software...

    Search-based software engineering is applicable to almost all phases of the software development process. Software testing has been one of the major applications. [9] Search techniques have been applied to other software engineering activities, for instance, requirements analysis, [10] [11] design, [12] [13] refactoring, [14] development, [15 ...

  8. Iterative deepening A* - Wikipedia

    en.wikipedia.org/wiki/Iterative_deepening_A*

    Iterative deepening A* (IDA*) is a graph traversal and path search algorithm that can find the shortest path between a designated start node and any member of a set of goal nodes in a weighted graph. It is a variant of iterative deepening depth-first search that borrows the idea to use a heuristic function to conservatively estimate the ...

  9. Maze generation algorithm - Wikipedia

    en.wikipedia.org/wiki/Maze_generation_algorithm

    3D version of Prim's algorithm. Vertical layers are labeled 1 through 4 from bottom to top. Stairs up are indicated with "/"; stairs down with "\", and stairs up-and-down with "x". Source code is included with the image description. Other algorithms exist that require only enough memory to store one line of a 2D maze or one plane of a 3D maze.