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  2. Binary heap - Wikipedia

    en.wikipedia.org/wiki/Binary_heap

    Find the index of the element we want to modify; Decrease the value of the node; Down-heapify (assuming a max heap) to restore the heap property; Increase key can be done as follows: Find the index of the element we want to modify; Increase the value of the node; Up-heapify (assuming a max heap) to restore the heap property

  3. Dynamic array - Wikipedia

    en.wikipedia.org/wiki/Dynamic_array

    Smalltalk's OrderedCollection is a dynamic array with dynamic start and end-index, making the removal of the first element also O(1). Python's list datatype implementation is a dynamic array the growth pattern of which is: 0, 4, 8, 16, 24, 32, 40, 52, 64, 76, ... [29] Delphi and D implement dynamic arrays at the language's core.

  4. Row- and column-major order - Wikipedia

    en.wikipedia.org/wiki/Row-_and_column-major_order

    To use column-major order in a row-major environment, or vice versa, for whatever reason, one workaround is to assign non-conventional roles to the indexes (using the first index for the column and the second index for the row), and another is to bypass language syntax by explicitly computing positions in a one-dimensional array.

  5. Array slicing - Wikipedia

    en.wikipedia.org/wiki/Array_slicing

    If we have a vector containing elements (2, 5, 7, 3, 8, 6, 4, 1), and want to create an array slice from the 3rd to the 6th elements, we get (7, 3, 8, 6). In programming languages that use a 0-based indexing scheme, the slice would be from index 2 to 5. Reducing the range of any index to a single value effectively removes the need for that index.

  6. B+ tree - Wikipedia

    en.wikipedia.org/wiki/B+_tree

    The purpose of the delete algorithm is to remove the desired entry node from the tree structure. We recursively call the delete algorithm on the appropriate node until no node is found. For each function call, we traverse along, using the index to navigate until we find the node, remove it, and then work back up to the root.

  7. Linked list - Wikipedia

    en.wikipedia.org/wiki/Linked_list

    A linked list can be built by creating an array of these structures, and an integer variable to store the index of the first element. integer listHead Entry Records[1000] Links between elements are formed by placing the array index of the next (or previous) cell into the Next or Prev field within a given element. For example:

  8. Double-ended queue - Wikipedia

    en.wikipedia.org/wiki/Double-ended_queue

    A separate deque with threads to be executed is maintained for each processor. To execute the next thread, the processor gets the first element from the deque (using the "remove first element" deque operation). If the current thread forks, it is put back to the front of the deque ("insert element at front") and a new thread is executed.

  9. Heap (data structure) - Wikipedia

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

    Each element in the array represents a node of the heap, and; The parent / child relationship is defined implicitly by the elements' indices in the array. Example of a complete binary max-heap with node keys being integers from 1 to 100 and how it would be stored in an array. For a binary heap, in the array, the first index contains the root ...