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  2. Word search - Wikipedia

    en.wikipedia.org/wiki/Word_search

    A word search, word find, word seek, word sleuth or mystery word puzzle is a word game that consists of the letters of words placed in a grid, which usually has a rectangular or square shape. The objective of this puzzle is to find and mark all the words hidden inside the box.

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  4. Heap (data structure) - Wikipedia

    en.wikipedia.org/wiki/Heap_(data_structure)

    Example of a binary max-heap with node keys being integers between 1 and 100. In computer science, a heap is a tree-based data structure that satisfies the heap property: In a max heap, for any given node C, if P is the parent node of C, then the key (the value) of P is greater than or equal to the key of C.

  5. Binary tree - Wikipedia

    en.wikipedia.org/wiki/Binary_tree

    Binary trees labelled this way are used to implement binary search trees and binary heaps, and are used for efficient searching and sorting. The designation of non-root nodes as left or right child even when there is only one child present matters in some of these applications, in particular, it is significant in binary search trees. [10]

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  7. Heap - Wikipedia

    en.wikipedia.org/wiki/Heap

    Heap (data structure), a data structure commonly used to implement a priority queue; Heap (mathematics), a generalization of a group; Heap (programming) (or free store), an area of memory for dynamic memory allocation; Heapsort, a comparison-based sorting algorithm; Heap overflow, a type of buffer overflow that occurs in the heap data area

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  9. Dijkstra's algorithm - Wikipedia

    en.wikipedia.org/wiki/Dijkstra's_algorithm

    For sparse graphs, that is, graphs with far fewer than | | edges, Dijkstra's algorithm can be implemented more efficiently by storing the graph in the form of adjacency lists and using a self-balancing binary search tree, binary heap, pairing heap, Fibonacci heap or a priority heap as a priority queue to implement extracting minimum efficiently.