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Describe your change:
nterval scheduling is a class of problems. The programs take a number of tasks into account. Every task is represented by an interval that indicates the amount of time it should take a machine to complete it. If there is no overlap between any two intervals on the system or resource, a subset of intervals is compatible.
The goal of the interval scheduling maximization problem is to identify the largest compatible set or a collection of intervals with the least possible overlap. The idea is to optimize throughput by completing as many tasks as you can.
Interval Scheduling Problem:
Input – An input of n intervals {s(i), … , f(i)−1} for 1 ≤ i ≤ n where i represents the intervals, s(i) represents the start time, and f(i) represents the finish time.
Output – A schedule S of n intervals where no two intervals in S conflict, and the total number of intervals in S is maximized.
Checklist:
[CONTRIBUTING.md](https://github.com/TheAlgorithms/Python/blob/master/CONTRIBUTING.md).