Posts
Lecture | Content | Slides |
1 | Amortized complexity. | |
2 | Amortized Complexity. | |
3 | Introduction to external sorting. | |
4 | Introduction to external sorting. | |
5 | Selection trees & k-way merging. | |
6 | Run generation. | |
7 | Optimal merging of runs. | |
8 | Buffering. | |
9 | Double-ended priority queues. General methods. | |
10 | Double-ended priority queues. Interval heaps. | |
11 | Leftist trees. | |
12 | Binomial heaps. | |
13 | Binomial heaps. | |
14 | Fibonacci heaps. | |
15 | Pairing heaps. | |
16 | Dictionaries. | |
17 | Optimal Binary Search Trees. | |
18 | AVL trees. | |
19 | AVL trees. | |
20 | Red-black trees | |
21 | Red-black trees. | |
22 | B-trees. | |
23 | B-trees. | |
24 | B+ and B*-trees. | |
25 | Splay trees. | |
26 | Splay Trees. | |
27 | Binary Tries. | |
28 | Compressed Binary Tries. | |
29 | Tries and Packet Forwarding. | |
30 | High-order Tries. | |
31 | Suffix Trees. | |
32 | Bloom Filters. | |
33 | Segment Trees. | |
34 | Interval Trees. | |
35 | Priority Search Trees. | |
36 | Priority Search Trees. | |
37 | Multidimensional Search Trees. | |
38 | Quad Trees. | |
39 | BSP Trees. | |
40 | R-Trees. |
ADVANCED DATA STRUCTURES USING JAVA ( univ of florida )
LECTURE NOTES FOR THE STUDENTS IN PDF AND PPT FORMAT
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