Splaying procedure, Data Structure & Algorithms

Assignment Help:

For splaying, three trees are maintained, the central, left & right sub trees. At first, the central subtree is the complete tree and left and right subtrees are empty. The target key is compared to the root of the central subtree where the following two conditions are possible:

a) Target > Root: If target is greater than the root, then the search will be more to the right and in the procedure, the root and its left subtree are shifted to the left tree.

b) Target < Root: If the target is less than the root, then the search is shifted to the left, moving the root and its right subtree to right tree.

We repeat the comparison procedure till either of the following conditions is satisfied:

a) Target is found: In this, insertion would create a duplicate node. Therefore, original node is maintained. Deletion would lead to elimination the root node.

b) Target is not found and we reach a null node: In this case, target is inserted in the null node position.

Now, the tree is reassembled. For the target node, which is the new root of our tree, the largest node is the left subtree & is linked to its left child and the smallest node in the right subtree is connected as its right child.


Related Discussions:- Splaying procedure

Deletion of a node from a binary search tree, The algorithm to delete any n...

The algorithm to delete any node having key from a binary search tree is not simple where as several cases has to be considered. If the node to be deleted contains no sons,

Implementation of queue using a singly linked list, Implementation of queue...

Implementation of queue using a singly linked list: While implementing a queue as a single liked list, a queue q consists of a list and two pointers, q.front and q.rear.

Naïve recursive algorithm for binomial coefficients, How many recursive cal...

How many recursive calls are called by the naïve recursive algorithm for binomial coefficients, C(10, 5) and C(21, 12) C(n,k){c(n-1,k)+c(n-1,k-1) if 1 1 if k = n or k = 0

Explain the bubble sort algorithm, Explain the bubble sort algorithm. ...

Explain the bubble sort algorithm. Answer This algorithm is used for sorting a list. It makes use of a temporary variable for swapping. It compares two numbers at an insta

Kruskals algorithm, Krushkal's algorithm uses the concept of forest of tree...

Krushkal's algorithm uses the concept of forest of trees. At first the forest contains n single node trees (and no edges). At each of the step, we add on one (the cheapest one) edg

Spanning trees, Spanning Trees: A spanning tree of a graph, G, refer to a ...

Spanning Trees: A spanning tree of a graph, G, refer to a set of |V|-1 edges which connect all vertices of the graph. There are different representations of a graph. They are f

Merging, Merging two sequence using CREW merge

Merging two sequence using CREW merge

Adjacency matrix, Q. Give the adjacency matrix for the graph drawn below:  ...

Q. Give the adjacency matrix for the graph drawn below:                                                 Ans: Adjacency matrix for the graph given to us

Time complexity of merge sort and heap sort algorithms, What is the time co...

What is the time complexity of Merge sort and Heap sort algorithms? Time complexity of merge sort is O(N log2 N) Time complexity of heap sort is   O(nlog2n)

Efficient way of storing a sparse matrix in memory, Explain an efficient wa...

Explain an efficient way of storing a sparse matrix in memory.   A matrix in which number of zero entries are much higher than the number of non zero entries is called sparse mat

Write Your Message!

Captcha
Free Assignment Quote

Assured A++ Grade

Get guaranteed satisfaction & time on delivery in every assignment order you paid with us! We ensure premium quality solution document along with free turntin report!

All rights reserved! Copyrights ©2019-2020 ExpertsMind IT Educational Pvt Ltd