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  2. Binomial heap - Wikipedia

    en.wikipedia.org/wiki/Binomial_heap

    Because each binomial tree in a binomial heap corresponds to a bit in the binary representation of its size, there is an analogy between the merging of two heaps and the binary addition of the sizes of the two heaps, from right-to-left. Whenever a carry occurs during addition, this corresponds to a merging of two binomial trees during the merge.

  3. Fenwick tree - Wikipedia

    en.wikipedia.org/wiki/Fenwick_tree

    A Fenwick tree or binary indexed tree (BIT) is a data structure that stores an array of values and can efficiently compute prefix sums of the values and update the values. It also supports an efficient rank-search operation for finding the longest prefix whose sum is no more than a specified value.

  4. Weak heap - Wikipedia

    en.wikipedia.org/wiki/Weak_heap

    A perfect (no missing leaves) weak heap with 2 n elements is exactly isomorphic to a binomial heap of the same size, [2] but the two algorithms handle sizes which are not a power of 2 differently: a binomial heap uses multiple perfect trees, while a weak heap uses a single imperfect tree.

  5. Mergeable heap - Wikipedia

    en.wikipedia.org/wiki/Mergeable_heap

    Examples of mergeable heap data structures include: Binomial heap; Fibonacci heap; Leftist tree; Pairing heap; Skew heap; A more complete list with performance comparisons can be found at Heap (data structure) § Comparison of theoretic bounds for variants. In most mergeable heap structures, merging is the fundamental operation on which others ...

  6. Jean Vuillemin - Wikipedia

    en.wikipedia.org/wiki/Jean_Vuillemin

    Vuillemin invented the binomial heap [2] and Cartesian tree data structures. [3] With Ron Rivest, he proved the Aanderaa–Rosenberg conjecture, according to which any deterministic algorithm that tests a nontrivial monotone property of graphs, using queries that test whether pairs of vertices are adjacent, must perform a quadratic number of adjacency queries. [4]

  7. 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.

  8. Skew binomial heap - Wikipedia

    en.wikipedia.org/wiki/Skew_binomial_heap

    Skew binomial heap containing numbers 1 to 19, showing trees of ranks 0, 1, 2, and 3 constructed from various types of links Simple, type a skew, and type b skew links. A skew binomial heap is a forest of skew binomial trees, which are defined inductively: A skew binomial tree of rank 0 is a singleton node.

  9. Randomized meldable heap - Wikipedia

    en.wikipedia.org/wiki/Randomized_meldable_heap

    Some additional operations that can be implemented for the meldable heap that also have O(logn) worst-case efficiency are: Remove(u) - Remove the node u and its key from the heap. Absorb(Q) - Add all elements of the meldable heap Q to this heap, emptying Q in the process. DecreaseKey(u, y) - Decreases the key in node u to y (pre-condition: y ...