#735

Asteroid Collision

Medium
ArrayStackSimulationStackSimulationArray
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Approaches

Brute ForceOptimal
Complexity Comparison
Brute ForceOptimal Solution
Time
O(n²)
O(n)
Space
O(1)
O(n)
💡

Intuition

Time O(n)Space O(n)

Using a stack allows us to efficiently manage the collisions. We can push asteroids into the stack and handle collisions as we encounter them, ensuring we only process each asteroid once.

⚙️

Algorithm

5 steps
  1. 1Step 1: Initialize an empty stack to keep track of surviving asteroids.
  2. 2Step 2: Iterate through each asteroid in the array.
  3. 3Step 3: For each asteroid, check if it collides with the top of the stack (if the top is positive and the current is negative).
  4. 4Step 4: Resolve collisions by comparing sizes and updating the stack accordingly.
  5. 5Step 5: If no collision occurs, push the asteroid onto the stack.
solution.py15 lines
1# Full working Python code
2
3def asteroidCollision(asteroids):
4    stack = []
5    for asteroid in asteroids:
6        while stack and asteroid < 0 < stack[-1]:
7            if abs(asteroid) > abs(stack[-1]):
8                stack.pop()
9                continue
10            elif abs(asteroid) == abs(stack[-1]):
11                stack.pop()
12            break
13        else:
14            stack.append(asteroid)
15    return stack

Complexity note: The time complexity is O(n) because each asteroid is processed once, and the stack operations (push/pop) are O(1). The space complexity is O(n) due to the stack storing the surviving asteroids.

  • 1Asteroids moving in the same direction do not collide.
  • 2Collisions only occur between a positive and a negative asteroid.

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