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  2. In-place algorithm - Wikipedia

    en.wikipedia.org/wiki/In-place_algorithm

    And for further clarification check leet code problem number 88. As another example, many sorting algorithms rearrange arrays into sorted order in-place, including: bubble sort, comb sort, selection sort, insertion sort, heapsort, and Shell sort. These algorithms require only a few pointers, so their space complexity is O(log n). [1]

  3. Range minimum query - Wikipedia

    en.wikipedia.org/wiki/Range_minimum_query

    Range minimum query reduced to the lowest common ancestor problem.. Given an array A[1 … n] of n objects taken from a totally ordered set, such as integers, the range minimum query RMQ A (l,r) =arg min A[k] (with 1 ≤ l ≤ k ≤ r ≤ n) returns the position of the minimal element in the specified sub-array A[l …

  4. Tree traversal - Wikipedia

    en.wikipedia.org/wiki/Tree_traversal

    Depending on the problem at hand, pre-order, post-order, and especially one of the number of subtrees − 1 in-order operations may be optional. Also, in practice more than one of pre-order, post-order, and in-order operations may be required. For example, when inserting into a ternary tree, a pre-order operation is performed by comparing items.

  5. Boyer–Moore string-search algorithm - Wikipedia

    en.wikipedia.org/wiki/Boyer–Moore_string-search...

    The C and Java implementations below have a ⁠ ⁠ space complexity (make_delta1, makeCharTable). This is the same as the original delta1 and the BMH bad-character table . This table maps a character at position ⁠ i {\displaystyle i} ⁠ to shift by ⁠ len ⁡ ( p ) − 1 − i {\displaystyle \operatorname {len} (p)-1-i} ⁠ , with the last ...

  6. Heap's algorithm - Wikipedia

    en.wikipedia.org/wiki/Heap's_algorithm

    A map of the 24 permutations and the 23 swaps used in Heap's algorithm permuting the four letters A (amber), B (blue), C (cyan) and D (dark red) Wheel diagram of all permutations of length = generated by Heap's algorithm, where each permutation is color-coded (1=blue, 2=green, 3=yellow, 4=red).

  7. Ackermann function - Wikipedia

    en.wikipedia.org/wiki/Ackermann_function

    This function arises in more precise analyses of the algorithms mentioned above, and gives a more refined time bound. In the disjoint-set data structure, m represents the number of operations while n represents the number of elements; in the minimum spanning tree algorithm, m represents the number of edges while n represents the number of vertices.

  8. Pancake sorting - Wikipedia

    en.wikipedia.org/wiki/Pancake_sorting

    A pancake number is the minimum number of flips required for a given number of pancakes. In this form, the problem was first discussed by American geometer Jacob E. Goodman . [ 1 ] A variant of the problem is concerned with burnt pancakes, where each pancake has a burnt side and all pancakes must, in addition, end up with the burnt side on bottom.

  9. Flood fill - Wikipedia

    en.wikipedia.org/wiki/Flood_fill

    Recursive flood fill with 8 directions. The traditional flood-fill algorithm takes three parameters: a start node, a target color, and a replacement color. The algorithm looks for all nodes in the array that are connected to the start node by a path of the target color and changes them to the replacement color.