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Design and Analysis of Algorithms Red-Black trees

Design and Analysis of Algorithms Red-Black trees. Haidong Xue Summer 2012, at GSU. Tree height is crucial. SEARCH(S, k) MINIMUM(S) MAXIMUM(S) SUCCESSOR(S, x) PREDECESSOR(S, x) INSERT(S, x) DELETE(S, x). O(h). O(h). O(h). O(h). O(h). O(h). O(h).

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Binary Search Trees (13.1/12.1)

Binary Search Trees (13.1/12.1). Support Search, Minimum, Maximum, Predecessor, Successor, Insert, Delete In addition to key each node has left = left child, right = right child, p = parent Binary search tree property: all keys in the left subtree of x ? key[x]

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155 views • 6 slides

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Design and Analysis of Algorithms Red-Black trees

Binary Search Trees (13.1/12.1)