Delegate declaration and instantiation in C Sharp (C#) - Time & Space Complexity
When we declare and create delegates in C#, it's important to know how the time to do this grows as we add more delegates.
We want to understand how the work changes when we create more delegate instances.
Analyze the time complexity of the following code snippet.
delegate void SimpleDelegate();
void Method() { }
SimpleDelegate[] delegates = new SimpleDelegate[n];
for (int i = 0; i < n; i++)
{
delegates[i] = new SimpleDelegate(Method);
}
This code creates an array of delegates and fills it by creating a new delegate instance for each element.
Identify the loops, recursion, array traversals that repeat.
- Primary operation: Creating a new delegate instance inside a loop.
- How many times: Exactly
ntimes, once for each element in the array.
As the number of delegates n increases, the total work grows directly with n.
| Input Size (n) | Approx. Operations |
|---|---|
| 10 | 10 delegate creations |
| 100 | 100 delegate creations |
| 1000 | 1000 delegate creations |
Pattern observation: The work grows in a straight line as we add more delegates.
Time Complexity: O(n)
This means the time to create all delegates grows directly with the number of delegates you want to create.
[X] Wrong: "Creating multiple delegates at once is a constant time operation regardless of how many delegates."
[OK] Correct: Each delegate creation takes time, so doing it many times adds up linearly, not instantly.
Understanding how delegate creation scales helps you reason about event handling and callbacks in real applications, showing you can think about performance even in simple code.
"What if we reused the same delegate instance for all array elements instead of creating new ones? How would the time complexity change?"