Many scheduling problems can be solved using greedy algorithms. A classic problem is as follows: Given n events with their starting and ending times, find a schedule that includes as many events as possible. It is not possible to select an event partially. For example, consider the following events: event A B C D A starting time ending time 3 5 9 8 In this case the maximum number of events is two. For example, we can select events B and D as follows: B 1 2 3 6 C D

Database System Concepts
7th Edition
ISBN:9780078022159
Author:Abraham Silberschatz Professor, Henry F. Korth, S. Sudarshan
Publisher:Abraham Silberschatz Professor, Henry F. Korth, S. Sudarshan
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Many scheduling problems can be solved using greedy algorithms. A classic
problem is as follows: Given n events with their starting and ending times, find a
schedule that includes as many events as possible. It is not possible to select an
event partially. For example, consider the following events:
event starting time ending time
A
B
C
D 6
A
1236
B
2
3
In this case the maximum number of events is two. For example, we can select
events B and D as follows:
3
5
9
8
C
D
Transcribed Image Text:Many scheduling problems can be solved using greedy algorithms. A classic problem is as follows: Given n events with their starting and ending times, find a schedule that includes as many events as possible. It is not possible to select an event partially. For example, consider the following events: event starting time ending time A B C D 6 A 1236 B 2 3 In this case the maximum number of events is two. For example, we can select events B and D as follows: 3 5 9 8 C D
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