Consider a pipe of length L. The pipe has N water droplets at N different positions within it. Each water droplet is moving towards the end of the pipe(x=L) at different rates. When a water droplet mixes with another water droplet, it assumes the speed of the water droplet it is mixing with. Determine the no of droplets that come out of the end of the pipe.
Refer to the figure below:
The numbers on circles indicates speed of water droplets
Input: length = 12, position = [10, 8, 0, 5, 3], speed = [2, 4, 1, 1, 3] Output: 3 Explanation: Droplets starting at x=10 and x=8 become a droplet, meeting each other at x=12 at time =1 sec. The droplet starting at 0 doesn't mix with any other droplet, so it is a drop by itself. Droplets starting at x=5 and x=3 become a single drop, mixing with each other at x=6 at time = 1 sec. Note that no other droplets meet these drops before the end of the pipe, so the answer is 3. Refer to the figure below Numbers on circles indicates speed of water droplets.
This problem uses greedy technique.
A drop will mix with another drop if two conditions are met:
1. If the drop is faster than the drop it is mixing with
2. If the position of the faster drop is behind the slower drop.
We use an array of pairs to store the position and the time that ith drop would take to reach the end of the pipe. Then we sort the array according to the position of the drops. Now we have a fair idea of which drops lie behind which drops and their respective time taken to reach the end. More time means less speed and less time means more speed. Now all the drops before a slower drop will mix with it. And all the drops after the slower drop with mix with the next slower drop and so on.
For example, if the times to reach the end are: 12, 3, 7, 8, 1 (sorted according to positions)
0th drop is slowest, it won’t mix with the next drop
1st drop is faster than the 2nd drop, So they will mix and 2nd drop is faster than the third drop so all three will mix together. They cannot mix with the 4th drop because that is faster.
No of local maximal + residue(drops after last local maxima) = Total number of drops.
Below is the implementation of the above approach:
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