Pdf Questions And Answers In Data Structure

A splay tree is a self-balancing binary search tree. In this, recently accessed elements are quick to access againIt is useful for implementing caches and garbage collection algorithms.When we move left going down this path, its called a zig and when we move right, its a zag.Following are the splaying steps. There are six different splaying steps.1. Zig Rotation (Right Rotation)2. Zag Rotation (Left Rotation)3. Zig-Zag (Zig followed by Zag)4.

Zag-Zig (Zag followed by Zig)5. A red-black tree is a type of self-balancing binary search tree.In red-black trees, the leaf nodes are not relevant and do not contain data.Red-black trees, like all binary search trees, allow efficient in-order traversal of elements.Each node has a color attribute, the value of which is either red or black.Characteristics:The root and leaves are blackBoth children of every red node are black.Every simple path from a node to a descendant leaf contains the same number of black nodes, either counting or not counting the null black nodes. A tree is a data structure which resembles a hierarchical tree structure. Every element in the structure is a node. Every node is linked with the next node, either to its left or to its right. Each node has zero or more child nodes.

The length of the longest downward path to a leaf from that node is known as the height of the node and the length of the path to its root is known as the depth of a node.Common Uses:- To manipulate hierarchical data- Makes the information search, called tree traversal, easier.- To manipulate data that is in the form of sorted list.- To give visual effects for digital images using as a work flow by compositing them. The depth of a binary tree is found using the following process:1. Send the root node of a binary tree to a function2. If the tree node is null, then return false value.3. Calculate the depth of the left tree; call it ‘d1’ by traversing every node.

Increment the counter by 1, as the traversing progresses until it reaches the leaf node. These operations are done recursively.4. Repeat the 3rd step for the left node. Name the counter variable ‘d2’.5. Find the maximum value between d1 and d2. Add 1 to the max value.

Pdf Questions And Answers In Data Structure Examples

Let us call it ‘depth’.6. The variable ‘depth’ is the depth of the binary tree.

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Data Structure Exam Questions

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