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Example: Time Complexity of an Algorithm With Nested Loops

In this lesson, you will learn how to compute the time complexity of an algorithm that involves nested for loops.

Now, we’ll analyze an algorithm with nested for loops.

A program with nested for loops

Consider the following Java program:

Java
class NestedLoop {
public static void main(String[] args) {
int n = 5; // 1 step
int m = 7; // 1 step
int sum = 0; // 1 step
for (int i = 0; i < n; i++) { // n steps
for (int j = 0; j < m; j++) { // n*m steps
sum++; // n*m steps
}
}
System.out.println("Sum: " + sum); // 1 step
}
}

It is a simple piece of code that prints the number of times the increment statement runs throughout the program. Let’s compute its time complexity.

Time complexity

Let’s take the training wheels off and jump straight to line 6. From the previous lesson, you will recall that it accounts for 6n+46n + 4 ...

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