Why loops are needed in Java - Performance Analysis
Loops help us repeat actions many times without writing the same code again and again.
We want to see how the time to run code changes when we use loops.
Analyze the time complexity of the following code snippet.
for (int i = 0; i < n; i++) {
System.out.println(i);
}
This code prints numbers from 0 up to n-1 using a loop.
Identify the loops, recursion, array traversals that repeat.
- Primary operation: Printing a number inside the loop.
- How many times: Exactly n times, once for each number from 0 to n-1.
As n grows, the number of print actions grows the same way.
| Input Size (n) | Approx. Operations |
|---|---|
| 10 | 10 prints |
| 100 | 100 prints |
| 1000 | 1000 prints |
Pattern observation: The work grows directly with n; double n means double the prints.
Time Complexity: O(n)
This means the time to run the code grows in a straight line as the input size grows.
[X] Wrong: "The loop runs only once no matter the input size."
[OK] Correct: The loop runs once for each number up to n, so more input means more repeats.
Understanding loops and their time cost helps you explain how programs handle repeated tasks efficiently.
"What if we added a nested loop inside this loop? How would the time complexity change?"