Practice: Measuring Operation Counting of the Algorithm

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🧪 Practice: Measuring Operation Counting of the Algorithm

This exercise involves analyzing a Java algorithm by counting the number of operations it performs at a high level of abstraction. The goal is to understand how the algorithm scales with input size by:

• Identifying key operations (assignments, comparisons, arithmetic operations, method calls).
• Estimating the total number of operations executed for a given input size.
• Comparing different loop constructs (e.g., enhanced for-loop vs. traditional for-loop).
• Converting detailed operation counts (e.g., 20n + 50) into Big O notation to express the algorithm's time complexity.

This type of analysis is useful for building intuition about algorithm efficiency and for validating theoretical complexity against practical implementation.