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Choose the right data structure to implement for the following application:Checking whether you have a matched open and close parentheses (brackets) in your program.AStackBQueueCLinkedListDNo data structure is implemented

Question

Choose the right data structure to implement for the following application:Checking whether you have a matched open and close parentheses (brackets) in your program.AStackBQueueCLinkedListDNo data structure is implemented

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Solution

The correct data structure to implement for this application is AStack.

Here's why:

Step 1: Understanding the problem The problem is to check whether every open parenthesis (bracket) in a program has a corresponding close parenthesis. This is a common problem in compilers and text editors.

Step 2: Analyzing the options A. Stack: A stack is a Last-In-First-Out (LIFO) data structure. This means the last element added to the stack will be the first one to be removed. This property makes it a good candidate for this problem. B. Queue: A queue is a First-In-First-Out (FIFO) data structure. This means the first element added to the queue will be the first one to be removed. This property does not fit the problem. C. LinkedList: A linked list is a linear data structure where each element is a separate object. Each element (node) of a list is comprising of two items - the data and a reference to the next node. It is not suitable for this problem. D. No data structure is implemented: This option is not suitable because a data structure is needed to solve this problem.

Step 3: Choosing the right data structure A stack is the right data structure to use for this problem. You can push each open parenthesis onto the stack when you encounter them in the program. When you encounter a close parenthesis, you can pop an open parenthesis from the stack. If the stack is empty when you encounter a close parenthesis, or if there is an open parenthesis left on the stack when you have checked the entire program, then the parentheses are not properly matched.

This problem has been solved

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