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In computer science, an order statistic tree is a variant of the binary search tree (or more generally, a B-tree) that supports two additional operations beyond insertion, lookup and deletion: * Select(i) – find the i'th smallest element stored in the tree * Rank(x) – find the rank of element x in the tree, i.e. its index in the sorted list of elements of the tree Both operations can be performed in O(log n) worst case time when a self-balancing tree is used as the base data structure.

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  • In computer science, an order statistic tree is a variant of the binary search tree (or more generally, a B-tree) that supports two additional operations beyond insertion, lookup and deletion: * Select(i) – find the i'th smallest element stored in the tree * Rank(x) – find the rank of element x in the tree, i.e. its index in the sorted list of elements of the tree Both operations can be performed in O(log n) worst case time when a self-balancing tree is used as the base data structure. (en)
  • 在计算机科学, 顺序统计树是二叉搜索树的变种。除了插入、查询和删除,这种数据结构还支持以下两种操作: * Select(i) — 在树中查询第i小的元素 * Rank(x) – 查找元素x的排名 这两种操作的平均时间复杂度是。当所用数据结构是平衡二叉树时,这是最坏复杂度。 (zh)
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  • In computer science, an order statistic tree is a variant of the binary search tree (or more generally, a B-tree) that supports two additional operations beyond insertion, lookup and deletion: * Select(i) – find the i'th smallest element stored in the tree * Rank(x) – find the rank of element x in the tree, i.e. its index in the sorted list of elements of the tree Both operations can be performed in O(log n) worst case time when a self-balancing tree is used as the base data structure. (en)
  • 在计算机科学, 顺序统计树是二叉搜索树的变种。除了插入、查询和删除,这种数据结构还支持以下两种操作: * Select(i) — 在树中查询第i小的元素 * Rank(x) – 查找元素x的排名 这两种操作的平均时间复杂度是。当所用数据结构是平衡二叉树时,这是最坏复杂度。 (zh)
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  • Order statistic tree (en)
  • 顺序统计树 (zh)
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