Binary tree ppt download

Keys are binary bit strings. Fixed length , , , Variable length 01, 00, , Why Binary search trees? Review: Search - Binary Search Tree A binary tree where every node's left subtree has values less than the node's value, and every right subtree has values greater. Binary Search Trees - Binary Search Trees Binary search trees allow for fast insertion and removal of elements They are specially designed for fast searching A binary tree consists of two Preface OBST is one special kind of advanced tree.

It focus on how to reduce the cost of the search of the BST. AVL Tree Implementation. Why AVL Trees? More Terminologies.

A sequence of edges Preorder, Postorder and Inorder Pseudo Code Leaf-pushed B-tree Home Explore Login Signup. Successfully reported this slideshow. We use your LinkedIn profile and activity data to personalize ads and to show you more relevant ads. You can change your ad preferences anytime. Next SlideShares. You are reading a preview. Create your free account to continue reading. Sign Up. Upcoming SlideShare. Binary tree.

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Binary search tree bst 1. Binary Search Tree 2. What is a Binary Tree? A Binary Tree 5. What is the max number of nodes at any level l? What is the total number of nodes N of a full tree with height h? What is the height h of a full tree with N nodes? Why is h important? Then there is an extremely efficient searching algorithm called Binary Search. That is no one search page by page from the start to end of the book.

This process goes on. How to search a binary tree? Start at the root 2. Search the tree level by level, until you find the element you are searching for or you reach a leaf. Is this better than searching a linked list?

Binary Search Trees Where is the smallest element? Ans: leftmost element Where is the largest element? Ans: rightmost element How to search a binary search tree?

Compare the value of the item you are searching for with the value stored at the root 3. If the values are equal, then item found; otherwise, if it is a leaf node, then not found If it is less than the value stored at the root, then search the left subtree 5. If it is greater than the value stored at the root, then search the right subtree 6.