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:
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 3rd drop so all three will mix together. They cannot mix with the 4th drop because that is faster.
So we use a stack to maintain the local maxima of the times.
No of local maximal + residue(drops after last local maxima) = total no of drops
- Water Connection Problem
- Container with Most Water
- Maximum water that can be stored between two buildings
- Maximum litres of water that can be bought with N Rupees
- Job Sequencing Problem
- How to get rid of Java TLE problem
- The Celebrity Problem
- The painter's partition problem | Set 2
- Multiset Equivalence Problem
- Sequence Alignment problem
- The Stock Span Problem
- Chocolate Distribution Problem
- Max Flow Problem Introduction
- Fractional Knapsack Problem
- Job Sequencing Problem | Set 2 (Using Disjoint Set)
If you like GeeksforGeeks and would like to contribute, you can also write an article using contribute.geeksforgeeks.org or mail your article to firstname.lastname@example.org. See your article appearing on the GeeksforGeeks main page and help other Geeks.
Please Improve this article if you find anything incorrect by clicking on the "Improve Article" button below.