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  2. Order statistic tree - Wikipedia

    en.wikipedia.org/wiki/Order_statistic_tree

    To turn a regular search tree into an order statistic tree, the nodes of the tree need to store one additional value, which is the size of the subtree rooted at that node (i.e., the number of nodes below it). All operations that modify the tree must adjust this information to preserve the invariant that size[x] = size[left[x]] + size[right[x]] + 1

  3. B-tree - Wikipedia

    en.wikipedia.org/wiki/B-tree

    A B-tree of depth n+1 can hold about U times as many items as a B-tree of depth n, but the cost of search, insert, and delete operations grows with the depth of the tree. As with any balanced tree, the cost grows much more slowly than the number of elements.

  4. 2–3–4 tree - Wikipedia

    en.wikipedia.org/wiki/2–3–4_tree

    In computer science, a 2–3–4 tree (also called a 2–4 tree) is a self-balancing data structure that can be used to implement dictionaries. The numbers mean a tree where every node with children (internal node) has either two, three, or four child nodes: a 2-node has one data element, and if internal has two child nodes;

  5. Fibonacci heap - Wikipedia

    en.wikipedia.org/wiki/Fibonacci_heap

    In computer science, a Fibonacci heap is a data structure for priority queue operations, consisting of a collection of heap-ordered trees.It has a better amortized running time than many other priority queue data structures including the binary heap and binomial heap.

  6. Van Emde Boas tree - Wikipedia

    en.wikipedia.org/wiki/Van_Emde_Boas_tree

    Deletion from vEB trees is the trickiest of the operations. The call Delete(T, x) that deletes a value x from a vEB tree T operates as follows: If T.min = T.max = x then x is the only element stored in the tree and we set T.min = M and T.max = −1 to indicate that the tree is empty.

  7. Queap - Wikipedia

    en.wikipedia.org/wiki/Queap

    Decrement n and k by 1. DeleteMin(Q): Delete and return the smallest element from queap Q. Invoke the Minimum(Q) operation. The operation returns min. Invoke the Delete(Q, min) operation. Return min. CleanUp(Q): Delete all the elements in list L and tree T. Starting from the first element in list L, traverse the list, deleting each node.

  8. Doctors Say This Is How You Can Loosen and Clear Mucus From ...

    www.aol.com/lifestyle/doctors-loosen-clear-mucus...

    Here’s how to get rid of chest congestion medically and naturally, according to experts.

  9. Binary heap - Wikipedia

    en.wikipedia.org/wiki/Binary_heap

    If the tree root is at index 0, with valid indices 0 through n − 1, then each element a at index i has children at indices 2i + 1 and 2i + 2; its parent at index floor((i − 1) / 2). Alternatively, if the tree root is at index 1, with valid indices 1 through n, then each element a at index i has children at indices 2i and 2i +1

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    b tree delete operation example program in matlab 1 0 8 0 debug test code