Consider the binary tree shown in the example above. Assume a BST is defined as follows: The left subtree of a node contains only nodes with keys less than the node's key. Both the left and right subtrees must also be binary search trees. Right subtree of a node contains all the nodes having values higher than the node. It means, we can iterate all the values of the BST in sorted order. A binary tree is a type of data structure where each parent node can have at most two child nodes. Some binary trees can have the height of one of the subtrees much larger than the other. if a node have 0 child nodes then it is called a leaf node. A binary tree is a non linear data structure where each node can have at most 2 child nodes. The right subtree of a node contains only nodes with keys greater than the node’s key. Due to this, on average, operations in binary search tree take only O(log n) time. A binary search tree fulfills all the properties of the binary tree and also has its unique properties. The left and right subtree each must also be a binary search tree. Binary Search Tree is usually represented as an acyclic graph. Q #5) Is Binary Search Tree Unique? The Binary Tree and Binary Search Tree are two tree data structures. Step 1 & 2. The BST has an important property: every node’s value is strictly greater than the value of its left child and strictly lower than the value of its right child. Both the left and right subtree is also a Binary Search Tree. A sorted array can be presented as a binary search tree: the "value at the root" is simply the middle element of the… – Joshua Taylor Feb 5 '14 at 20:55. In that case, the operations can take linear time. In case the tree is binary, each node has at most two children. The right subtree of a node contains only nodes with keys greater than the node's key. The height of a randomly generated binary search tree is O(log n). 1 …array, the left subtree is the sub-array to the left of the root, and the right subtree is the sub-array to the right of the root. Binary Search Tree is a node-based binary tree data structure which has the following properties: The left subtree of a node contains only nodes with keys lesser than the node’s key. The binary search tree is a binary tree where the left child contains only nodes with values less than or equal to the parent node, and where the right child only contains nodes with values greater than to the parent node. Given a binary tree, determine if it is a valid binary search tree (BST). Binary search tree, then, is really just a sort of interface or presentation of some data. In a binary search tree, the left subtrees contain nodes that are less than or equal to the root node and the right subtree has nodes that are greater than the root node. The examples of such binary trees are given in Figure 2. 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