Interval Scheduling Visualization

Interval scheduling visualization works by sorting intervals by finish time and iteratively selecting non-overlapping tasks on a 0–24 hour axis to maximize scheduled sessions, generating a step-by-step execution log.

You can visualize non-overlapping intervals by creating sample meetings on an interactive 0–24 hour timeline. The algorithm sorts these intervals and demonstrates the selection logic step-by-step to find the maximum number of non-overlapping sessions.

Sorting by finish time maximizes non-overlapping tasks by leaving the maximum remaining time for subsequent intervals. The interactive timeline and execution log demonstrate this greedy choice step-by-step.

Yes, this interval scheduling visualization is designed for computer science education and algorithm training. It provides an interactive timeline and execution log to demonstrate greedy logic in classroom or self-study environments.

You need to define a set of intervals with start and end times to create custom scheduling scenarios. The tool maps these intervals onto a 0–24 hour axis and runs the greedy algorithm to detect overlaps and select sessions.