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An item may be added to the head of the list if the new item is valued less than or equal to the current head or to the tail of the list if the new item is greater than or equal to the current tail. Elements may be removed from both the head and the tail. [1] Piles of this kind are used in the "UnShuffle sort" sorting algorithm.
The top-k data structure at each node is constructed based on the values existing in the subtrees of that node and is meant to answer one-sided range top-k queries. Please note that for a one-dimensional array A {\displaystyle A} , a range tree can be constructed by dividing A {\displaystyle A} into two halves and recursing on both halves ...
Binary search Visualization of the binary search algorithm where 7 is the target value Class Search algorithm Data structure Array Worst-case performance O (log n) Best-case performance O (1) Average performance O (log n) Worst-case space complexity O (1) Optimal Yes In computer science, binary search, also known as half-interval search, logarithmic search, or binary chop, is a search ...
On a sequential computer, all nearest smaller values may be found by using a stack data structure: one processes the values in sequence order, using the stack to maintain a subsequence of the values that have been processed so far and are smaller than any later value that has already been processed. In pseudocode, the algorithm is as follows.
Many methods for selection are based on choosing a special "pivot" element from the input, and using comparisons with this element to divide the remaining input values into two subsets: the set of elements less than the pivot, and the set of elements greater than the pivot. The algorithm can then determine where the th smallest value is to be ...
Data structures that solve the problem support these operations: [2] predecessor(x), which returns the largest element in S strictly smaller than x; successor(x), which returns the smallest element in S strictly greater than x; In addition, data structures which solve the dynamic version of the problem also support these operations:
A 1-dimensional range tree on a set of n points is a binary search tree, which can be constructed in () time. Range trees in higher dimensions are constructed recursively by constructing a balanced binary search tree on the first coordinate of the points, and then, for each vertex v in this tree, constructing a (d−1)-dimensional range tree on the points contained in the subtree of v.
Sorting a set of unlabelled weights by weight using only a balance scale requires a comparison sort algorithm. A comparison sort is a type of sorting algorithm that only reads the list elements through a single abstract comparison operation (often a "less than or equal to" operator or a three-way comparison) that determines which of two elements should occur first in the final sorted list.