ind a solution identify duplicate entries in the student name list of size 1000 using Top downdesign approach?

Sure, here is a step-by-step solution to identify duplicate entries in a student name list of size 1000 using a top-down design approach:

Step 1: Problem Identification The problem is to identify duplicate entries in a student name list of size 1000.

Step 2: Break Down the Problem In a top-down design approach, we start with the main problem and break it down into smaller, manageable sub-problems. Here, we can break down the problem into the following sub-problems:

• Reading the student name list
• Identifying duplicate entries

Step 3: Design Algorithm for Each Sub-problem

Sub-problem 1: Reading the student name list

• Start from the first name in the list
• Read each name until the end of the list

Sub-problem 2: Identifying duplicate entries

• Start from the first name in the list
• Compare this name with every other name in the list
• If a match is found, mark it as a duplicate
• Continue this process for each name in the list

Step 4: Combine the Solutions After solving each sub-problem, we combine the solutions to solve the main problem. In this case, we read the student name list and identify any duplicate entries.

Step 5: Implement the Solution The final step is to implement the solution. This could be done in various programming languages like Python, Java, etc.

Please note that this approach has a time complexity of O(n^2) and may not be efficient for large lists. For a more efficient solution, you could use a data structure like a hash table or a set to store the names and check for duplicates in O(1) time.