Binary Search Tree (BST)

Binary Search Tree (BST)

data_structure tree graph rooted_tree binary_tree search_tree ordered_tree hierarchical_structure acyclic_graph
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🔥 Heaps → Heaps build on core tree concepts from BSTs—node/edge structure, height-based O(log n) reasoning, and maintaining an invariant—so understanding BST organization and operations prepares learners to grasp the heap property and logarithmic insert/extract behavior, even though heaps do not use BST ordering.
🔥 Treaps → Treaps extend binary search trees by preserving the BST key-order invariant while adding a heap property on randomly assigned priorities; they reuse BST search/insert/delete semantics and apply rotations to maintain the heap constraint for probabilistic balance.
🌟 Tree Traversals →
Binary Search Trees (Bst) →
Heaps →
Avl Tree →
Order Statistics Trees →
Ordered Maps And Sets →
Range Searching →
Interval Trees →
Splay Tree →
Treap →