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Algorithmen II, Vorlesung, WS 2016/17, 18.01.2017, 22
22 |
0:00:00 Starten
0:00:42 13 Onlinealgorithmen
0:05:35 Examples
0:08:09 Competitive analysis
0:09:19 A typical online problem: ski rental
0:11:31 Upper bound for ski rental
0:14:33 Lower bound for ski rental
0:18:07 Paging
0:20:16 Definitions
0:21:49 Paging algorithms
0:25:11 Longest Forward Distance is optimal
0:27:34 Using the claim
0:29:01 Proof the claim
0:29:44 Comparison of algorithms
0:34:33 A general lower bound
0:38:53 Resource augmentation
0:40:14 Conservative algorithms
0:43:26 Competitive ratio
0:46:50 Counting the faults of OPT
0:47:32 Conclusion
0:48:30 Competitive analysis
0:49:57 Notes
0:51:02 New results
0:54:25 Randomized algorithms
0:55:38 Three types of adversaries
1:00:46 Markig Algorithm
1:04:28 Analysis of REMARk
1:06:21 Lower bound for OPT
1:07:42 Discussion
1:08:50 Why competitive analysis?
1:16:24 Disadvantages of competetive analysis
View all episodes
By Karlsruher Institut für Technologie (KIT)22 |
0:00:00 Starten
0:00:42 13 Onlinealgorithmen
0:05:35 Examples
0:08:09 Competitive analysis
0:09:19 A typical online problem: ski rental
0:11:31 Upper bound for ski rental
0:14:33 Lower bound for ski rental
0:18:07 Paging
0:20:16 Definitions
0:21:49 Paging algorithms
0:25:11 Longest Forward Distance is optimal
0:27:34 Using the claim
0:29:01 Proof the claim
0:29:44 Comparison of algorithms
0:34:33 A general lower bound
0:38:53 Resource augmentation
0:40:14 Conservative algorithms
0:43:26 Competitive ratio
0:46:50 Counting the faults of OPT
0:47:32 Conclusion
0:48:30 Competitive analysis
0:49:57 Notes
0:51:02 New results
0:54:25 Randomized algorithms
0:55:38 Three types of adversaries
1:00:46 Markig Algorithm
1:04:28 Analysis of REMARk
1:06:21 Lower bound for OPT
1:07:42 Discussion
1:08:50 Why competitive analysis?
1:16:24 Disadvantages of competetive analysis
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