Introduction to Algorithms
by MIT
This course material is only available in the iTunes U app on iPhone or iPad.
Course Description
This course teaches techniques for the design and analysis of efficient algorithms, emphasizing methods useful in practice. Topics covered include: sorting; search trees, heaps, and hashing; divide-and-conquer; dynamic programming; amortized analysis; graph algorithms; shortest paths; network flow; computational geometry; number-theoretic algorithms; polynomial and matrix calculations; caching; and parallel computing.
The textbook for this course is: Cormen, Thomas H., Charles E. Leiserson, Ronald L. Rivest, and Clifford Stein. Introduction to Algorithms. 2nd ed. Cambridge, MA: MIT Press. ISBN: 0262032937.
This content is provided under a Creative Commons Attribution-NonCommercial-ShareAlike 3.0 license.
Name | Description | Time | Price | ||
---|---|---|---|---|---|
1 | Lecture Notes 1: Analysis of Algorithms | -- | -- | Free | View in iTunes |
2 | Lecture Notes 2: Asymptotic Notation and Recurrences | -- | -- | Free | View in iTunes |
3 | Lecture Notes 3: Divide and Conquer | -- | -- | Free | View in iTunes |
4 | Lecture Notes 4: Quicksort | -- | -- | Free | View in iTunes |
5 | Lecture Notes 5: Linear-time Sorting: Lower Bounds, Counting Sort, Radix Sort | -- | -- | Free | View in iTunes |
6 | Lecture Notes 6: Order Statistics, Median | -- | -- | Free | View in iTunes |
7 | Lecture Notes 7: Hashing, Hash Functions | -- | -- | Free | View in iTunes |
8 | Lecture Notes 8: Universal Hashing, Perfect Hashing | -- | -- | Free | View in iTunes |
9 | Lecture Notes 9: Relation of BSTs to Quicksort - Analysis of Random BST | -- | -- | Free | View in iTunes |
10 | Lecture Notes 10: Red-black Trees, Rotations, Insertions, Deletions | -- | -- | Free | View in iTunes |
11 | Lecture Notes 11: Augmenting Data Structures, Dynamic Order Statistics, Interval Trees | -- | -- | Free | View in iTunes |
12 | Lecture Notes 12: Skip Lists | -- | -- | Free | View in iTunes |
13 | Lecture Notes 13: Amortized Algorithms, Table Doubling, Potential Method | -- | -- | Free | View in iTunes |
14 | Lecture Notes 14: Competitive Analysis: Self-organizing Lists | -- | -- | Free | View in iTunes |
15 | Lecture Notes 15: Dynamic Programming, Longest Common Subsequence | -- | -- | Free | View in iTunes |
16 | Lecture Notes 16: Greedy Algorithms, Minimum Spanning Trees | -- | -- | Free | View in iTunes |
17 | Lecture Notes 17: Shortest Paths I: Properties, Dijkstra's Algorithm, Breadth-first Search | -- | -- | Free | View in iTunes |
18 | Lecture Notes 18: Shortest Paths II: Bellman-Ford, Linear Programming, Difference Constraints | -- | -- | Free | View in iTunes |
19 | Lecture Notes 19: Shortest Paths III: All-pairs Shortest Paths, Matrix Multiplication, Floyd-Warshall, Johnson | -- | -- | Free | View in iTunes |
20 | Lecture Notes: Skip Lists | -- | -- | Free | View in iTunes |
21 | Problem Set 1 | -- | -- | Free | View in iTunes |
22 | Problem Set 1 Solutions | -- | -- | Free | View in iTunes |
23 | Problem Set 2 | -- | -- | Free | View in iTunes |
24 | Problem Set 2 Solutions | -- | -- | Free | View in iTunes |
25 | Problem Set 3 | -- | -- | Free | View in iTunes |
26 | Problem Set 3 Solutions | -- | -- | Free | View in iTunes |
27 | Problem Set 4 | -- | -- | Free | View in iTunes |
28 | Problem Set 4 Solutions | -- | -- | Free | View in iTunes |
29 | Problem Set 5 | -- | -- | Free | View in iTunes |
30 | Problem Set 5 Solutions | -- | -- | Free | View in iTunes |
31 | Problem Set 6 | -- | -- | Free | View in iTunes |
32 | Problem Set 6 Solutions | -- | -- | Free | View in iTunes |
33 | Problem Set 7 | -- | -- | Free | View in iTunes |
34 | Problem Set 7 Solutions | -- | -- | Free | View in iTunes |
35 | Problem Set 7: sample | -- | -- | Free | View in iTunes |
36 | Problem Set 7: samplesol | -- | -- | Free | View in iTunes |
37 | Problem Set 7: input1 | -- | -- | Free | View in iTunes |
38 | Problem Set 7: input2 | -- | -- | Free | View in iTunes |
39 | Problem Set 7: input3 | -- | -- | Free | View in iTunes |
40 | Problem Set 8 | -- | -- | Free | View in iTunes |
41 | Problem Set 8 Solutions | -- | -- | Free | View in iTunes |
42 | Problem Set 9 | -- | -- | Free | View in iTunes |
43 | Problem Set 9 Solutions | -- | -- | Free | View in iTunes |
44 | Practice Quiz 1 | -- | -- | Free | View in iTunes |
45 | Practice Quiz 1 Solutions | -- | -- | Free | View in iTunes |
46 | Quiz 1 | -- | -- | Free | View in iTunes |
47 | Quiz 1 Solutions | -- | -- | Free | View in iTunes |
48 | Quiz 2 Practice | -- | -- | Free | View in iTunes |
49 | Quiz 2 | -- | -- | Free | View in iTunes |
50 | Quiz 2 Solutions | -- | -- | Free | View in iTunes |
51 | Practice Final | -- | -- | Free | View in iTunes |
52 | Practice Final Exam Solutions | -- | -- | Free | View in iTunes |
53 | Final Exam | -- | -- | Free | View in iTunes |
54 | Final Exam Solutions | -- | -- | Free | View in iTunes |
55 | Dynamic Algorithms Handout | -- | -- | Free | View in iTunes |
56 | Skip Lists Handout | -- | -- | Free | View in iTunes |
56 Items |
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