We are given an array asteroids
of integers representing asteroids in a row.
For each asteroid, the absolute value represents its size, and the sign represents its direction (positive meaning right, negative meaning left). Each asteroid moves at the same speed.
Find out the state of the asteroids after all collisions. If two asteroids meet, the smaller one will explode. If both are the same size, both will explode. Two asteroids moving in the same direction will never meet.
Example 1:
Input: asteroids = [5, 10, -5] Output: [5, 10] Explanation: The 10 and -5 collide resulting in 10. The 5 and 10 never collide.
Example 2:
Input: asteroids = [8, -8] Output: [] Explanation: The 8 and -8 collide exploding each other.
Example 3:
Input: asteroids = [10, 2, -5] Output: [10] Explanation: The 2 and -5 collide resulting in -5. The 10 and -5 collide resulting in 10.
Example 4:
Input: asteroids = [-2, -1, 1, 2] Output: [-2, -1, 1, 2] Explanation: The -2 and -1 are moving left, while the 1 and 2 are moving right. Asteroids moving the same direction never meet, so no asteroids will meet each other.
Note:
asteroids
will be at most 10000
.[-1000, 1000].
.Intuition
\nA row of asteroids is stable if no further collisions will occur. After adding a new asteroid to the right, some more collisions may happen before it becomes stable again, and all of those collisions (if they happen) must occur right to left. This is the perfect situation for using a stack.
\nAlgorithm
\nSay we have our answer as a stack with rightmost asteroid top
, and a new
asteroid comes in. If new
is moving right (new > 0
), or if top
is moving left (top < 0
), no collision occurs.
Otherwise, if abs(new) < abs(top)
, then the new
asteroid will blow up; if abs(new) == abs(top)
then both asteroids will blow up; and if abs(new) > abs(top)
, then the top
asteroid will blow up (and possibly more asteroids will, so we should continue checking.)
Complexity Analysis
\nTime Complexity: , where is the number of asteroids. Our stack pushes and pops each asteroid at most once.
\nSpace Complexity: , the size of ans
.
Analysis written by: @awice.
\n