The problem of activity selection, also known as the activity scheduling problem, is a problem where a person has a list of jobs or activities to do. Each activity has a start time and an end time. The goal is to schedule the activities in such a way that the person can complete the maximum number of activities possible. Since the activities may have overlapping time intervals, it may not be possible to complete all activities. Therefore, the objective is to find a schedule that maximizes the number of activities that can be completed without any conflicts. This problem is often solved using greedy algorithms, where activities are selected based on certain criteria, such as the earliest finish time or the shortest duration. By selecting activities in a greedy manner, we can find an optimal or near-optimal solution to the activity selection problem.
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