Write short notes: i) Common operation in Data Structure ii) Tournament Tree iii) Data tracker in coin application

Common Operations in Data Structures

Data structures are a way of organizing data in a computer so that it can be accessed and updated efficiently. Some of the most common operations performed on data structures include:

• Searching: Finding a specific element in a data structure.
• Insertion: Adding a new element to a data structure.
• Deletion: Removing an element from a data structure.
• Traversal: Visiting each element in a data structure in a specific order.
• Sorting: Arranging the elements in a data structure in a specific order.
• Merging: Combining two or more data structures into a single data structure.
• Splitting: Dividing a data structure into two or more smaller data structures.

Tournament Tree

A tournament tree is a binary tree in which each node represents a competition between two players. The winner of each competition advances to the next round, until a single winner is determined. Tournament trees are often used to organize sporting competitions, such as tennis tournaments and chess tournaments.

The height of a tournament tree is the maximum number of levels in the tree. The number of nodes in a tournament tree is equal to 2^h - 1, where h is the height of the tree.

Data Tracker in Coin Application

A data tracker in a coin application is a feature that allows users to track their spending and income. This can be done by manually entering transactions or by linking the app to a bank account or credit card. The data tracker can then be used to generate reports that show users how much they are spending and earning, as well as where their money is going.

Data trackers can be a valuable tool for users who are trying to manage their finances and budget their money. They can also help users to identify areas where they can cut back on spending or increase their income.