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Binary Search Tree
... 1 tempPtr = root->left 2 root->left = tempPtr->right 3 tempPtr->right = root 4 root = tempPtr 5 return end rotateRight ...
... 1 tempPtr = root->left 2 root->left = tempPtr->right 3 tempPtr->right = root 4 root = tempPtr 5 return end rotateRight ...
Lower bound for the worst case
... • The algorithm only uses the results of comparisons, not values of elements (*). • Very general – does not assume much about what type of data is being sorted. • However, other kinds of algorithms are possible! • In this model, it is reasonable to count #comparisons. • Note that the #comparisons is ...
... • The algorithm only uses the results of comparisons, not values of elements (*). • Very general – does not assume much about what type of data is being sorted. • However, other kinds of algorithms are possible! • In this model, it is reasonable to count #comparisons. • Note that the #comparisons is ...
Trees
... A tree consists of a collection of elements or nodes, with each node linked to its successors The height of a tree is the number of nodes in the longest path from the root node to a leaf node ...
... A tree consists of a collection of elements or nodes, with each node linked to its successors The height of a tree is the number of nodes in the longest path from the root node to a leaf node ...
Non-Linear Data Structures - Trees
... The traversals we have examined here are also depth first traversals. The traversal algorithm always descends to the greatest possible depth within the tree, before back tracking and trying an alternate path. This means that a search based on these algorithms, may traverse several alternate paths, b ...
... The traversals we have examined here are also depth first traversals. The traversal algorithm always descends to the greatest possible depth within the tree, before back tracking and trying an alternate path. This means that a search based on these algorithms, may traverse several alternate paths, b ...
Basic Element of Data Structures like linked list, stack and queue
... Binary search tree • A binary search tree is a binary tree. It may be empty. If not empty, then it satisfies the following property. 1. Every element has a key and no two elements have the same key. 2. The key in the left subtree are smaller than the key in the root 3. The key in the right subtree ...
... Binary search tree • A binary search tree is a binary tree. It may be empty. If not empty, then it satisfies the following property. 1. Every element has a key and no two elements have the same key. 2. The key in the left subtree are smaller than the key in the root 3. The key in the right subtree ...
- Saraswathi Velu College of Engineering
... Collision occurs when a hash value of a record being inserted hashes to an address that already contains different record.(ie) when 2 key values hash to the same position. 7. What is collision Resolution? It is the process of finding another position for the collide record. 8. List the Collision Res ...
... Collision occurs when a hash value of a record being inserted hashes to an address that already contains different record.(ie) when 2 key values hash to the same position. 7. What is collision Resolution? It is the process of finding another position for the collide record. 8. List the Collision Res ...
Data Structures
... of list. Much slower than ArrayList for access by position and iterating over. Uses a hash table. Requires that stored objects override hashCode() and equals(). Uses a doubly linked list as well as a hash table. This allows elements to be iterated over in insertion order rather than unpredictable or ...
... of list. Much slower than ArrayList for access by position and iterating over. Uses a hash table. Requires that stored objects override hashCode() and equals(). Uses a doubly linked list as well as a hash table. This allows elements to be iterated over in insertion order rather than unpredictable or ...
Document
... Insert the point into the correct leaf page, if it fits If a leaf overflows, it is split according to the ‘next’ dimension, using the median value as the discriminator. The split information is propagated to the parent page. If the parent overflows, it is split into two. A new split plane is chosen ...
... Insert the point into the correct leaf page, if it fits If a leaf overflows, it is split according to the ‘next’ dimension, using the median value as the discriminator. The split information is propagated to the parent page. If the parent overflows, it is split into two. A new split plane is chosen ...
YEAR / SEM : II/ III
... the keys in its left sub tree are smaller than the key value in X and the values of all the keys in its right sub tree are larger than the key value in X. 15. How deletion is performed in a binary search tree. Once the node to be deleted is found there are three possibilities 1. If the node is a lea ...
... the keys in its left sub tree are smaller than the key value in X and the values of all the keys in its right sub tree are larger than the key value in X. 15. How deletion is performed in a binary search tree. Once the node to be deleted is found there are three possibilities 1. If the node is a lea ...
Data Structures
... contains rootItem //and has leftTree and rightTree, respectively, as its left and right subtrees destroyBinaryTree() // destroys a binary tree rootData() // returns the data portion of the root of a nonempty binary tree setRootData(newItem) // replaces the the data portion of the root of a //nonempt ...
... contains rootItem //and has leftTree and rightTree, respectively, as its left and right subtrees destroyBinaryTree() // destroys a binary tree rootData() // returns the data portion of the root of a nonempty binary tree setRootData(newItem) // replaces the the data portion of the root of a //nonempt ...