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2 cards from this section. Quick, good the night before a test.
Define 'lateness' in scheduling.
Think about what happens when a job is done late.
What is a greedy algorithm?
Consider how these choices are evaluated.
What is the primary goal of the Minimizing Lateness problem?
Think about which job's lateness affects the overall metric.
True or False: A greedy algorithm always guarantees an optimal solution.
Evaluate instances of greedy failure.
Given five jobs with durations 1, 2, 3, 4, 5 and deadlines 1, 2, 3, 4, 5 respectively, arrange them to minimize lateness.
Check for any jobs that are initially late when plotted together.
If you have ten jobs with varying durations and overlapping deadlines, create a table comparing which scheduling order minimizes maximum lateness.
Make detailed time calculation for finishes to track lateness effectively.
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