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By changing the NULL lines in a binary tree to the special links called threads, it is possible to execute traversal, insertion and deletion without using either a stack or recursion.
In a right in threaded binary tree each NULL link is replaced by a particular link to the successor of that node under the inorder traversal called right threaded. Using right threads we shall find it easy to perform an inorder traversal of the tree, since we need to only follow either an ordinary link or a threaded to find the next node to visit.
If we replace each NULL left link by a particular link to the predecessor of the node known as left threaded under inorder traversal the tree is called as left in threaded binary tree. If both the left and right threads are present in tree then it is called as fully threaded binary tree for example:
Depth-first traversal A depth-first traversal of a tree visit a node and then recursively visits the subtrees of that node. Likewise, depth-first traversal of a graph visits
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Q. What do you mean by the best case complexity of quick sort and outline why it is so. How would its worst case behaviour arise?
Technique for direct search is Hashing is the used for direct search.
The fundamental element of linked list is a "record" structure of at least two fields. The object which holds the data & refers to the next element into the list is called a node .
design algorithm and flow chart that computes the absolute difference of two values x and y
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Given is the structure of an AVL tree: struct avl { struct node *left; int info; int bf; struct node *right; }; 2) A multiway tree of n order is an ord
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