Can you explain time complexity with examples in C++?
Sure! Time complexity measures how the runtime of an algorithm increases with the size of the input. For example, a simple loop that iterates through an array has a time complexity of O(n).
What about nested loops?
Good question! A nested loop, where one loop runs inside another, typically has a time complexity of O(n^2). For instance, if you have two loops iterating over the same array, the total operations would be n * n.
Can you give me a code example for O(n^2)?
Certainly! Here's a simple example:
for(int i = 0; i < n; i++) {
for(int j = 0; j < n; j++) {
// Some operation
}
}
What about O(log n) time complexity?
O(log n) time complexity is often seen in algorithms that divide the problem in half each time, like binary search. For example, in a sorted array, you can find an element by repeatedly dividing the search interval in half.
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