Princeton University
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Computer Science 423
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DATE | LECTURE | READING |
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1/31 |
Counting in Binary Amortized and Worst-Case Efficiency |
Review CLRS Sections 1 & 2 Chapter 17, CLRS Lecture Slides |
2/2 |
Competitiveness Self-adjusting lists |
Review CLRS Chapter 10 Lecture Slides Class Notes |
2/7 | Binary Search Trees |
CLRS Chapter 12 Lecture Slides |
2/9 | Balanced Binary Search Trees |
CLRS Chapter 13 Lecture Slides |
2/14 | Self-Adjusting Search Trees |
Lecture Slides (Top-Down) Splay Tree Demo |
2/16 |
Implicit Heaps Pairing Heaps |
CLRS Chapter 6 Lecture Slides |
2/21 | Rank-Pairing Heaps |
CLRS Chapter 19 Lecture Slides |
2/23 | Shortest Paths |
CLRS Chapter 24 Lecture Slides |
2/28 | Shortest Paths II |
CLRS Chapter 25 Lecture Slides |
3/2 | Minimum Spanning Trees |
CLRS Chapter 23 Lecture Slides |
3/7 | Minimum Spanning Trees Faster |
Lecture Slides |
3/9 | Disjoint Sets and Compressed Trees |
CLRS Chapter 21 Lecture Slides |
3/21 | Analysis of Path Compression |
Lecture Slides |
3/23 | Graph Search |
CLRS Chapter 22 Lecture Slides |
3/28 | Strong Components and Blocks |
Lecture Slides |
3/30 | Dominators in Directed Graphs |
Lecture Slides |
4/4 | P, NP, and NP-Completeness |
CLRS Chapter 34 Lecture Slides |
4/6 | Coping with NP-completeness |
CLRS Chapter 35 Lecture Slides |
4/11 | Graph Matching |
Lecture Slides |
4/13 | Nonbipartite Matching |
Lecture Slides |
4/18 | Maximum Flow |
CLRS Chapter 26 Lecture Slides |
4/20 | Minimum Cost Matchings and Flows |
Lecture Slides |
4/25 | Odds and Ends |
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4/27 | Odds and Ends II |
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