Task Scheduling

Prereq: Topological Sort

For this problem, given a list of tasks and a list of requirements, compute a sequence of tasks that can be performed, such that we complete every task once while satisfying all the requirements.

Each requirement will be in the form of a list [a, b], where task a needs to be completed first before task b can be completed,

There is guaranteed to be a solution.


Example 1

1tasks = ["a", "b", "c", "d"]
2requirements = [["a", "b"], ["c", "b"], ["b", "d"]]
Output: ["a", "c", "b", "d"]

Try it yourself


Apply Kahn's Algorithm to solve the problem.

Time Complexity: O(n+m)

The time complexity is equal to n the number of nodes in the graph plus m the number of edges in the graph. This is because we have to go through every connection and node once when we sort the graph.

Space Complexity: O(n)

The queue holds at most n nodes in the worst case.



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1  >>> a = [1, 2, 3]
2  >>> a[-1]
3  3

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