Coursera- Algorithm Design & Analysis 2

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文档个数：187个文档
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Coursera- Algorithm Design & Analysis 2的二维码

文档列表

1 - 1 - Application_ Internet Routing (11 min).mp4 14.5 MB
1 - 2 - Application_ Sequence Alignment (9 min).mp4 11.6 MB
10 - 1 - Introduction_ Weighted Independent Sets in Path Graphs (8 min).mp4 11.8 MB
10 - 2 - WIS in Path Graphs_ Optimal Substructure (9 min).mp4 14.2 MB
10 - 3 - WIS in Path Graphs_ A Linear-Time Algorithm (10 min).mp4 15.2 MB
10 - 4 - WIS in Path Graphs_ A Reconstruction Algorithm (7 min).mp4 10.1 MB
10 - 5 - Principles of Dynamic Programming (8 min).mp4 12.9 MB
11 - 1 - The Knapsack Problem (10 min).mp4 14.8 MB
11 - 2 - A Dynamic Programming Algorithm (10 min).mp4 14.3 MB
12 - 1 - Optimal Substructure (14 min).mp4 20.5 MB
12 - 2 - A Dynamic Programming Algorithm (12 min).mp4 17.5 MB
13 - 1 - Problem Definition (12 min).mp4 18.0 MB
13 - 2 - Optimal Substructure (9 min).mp4 14.6 MB
13 - 3 - Proof of Optimal Substructure (7 min).mp4 10.3 MB
13 - 4 - A Dynamic Programming Algorithm I (10 min).mp4 14.7 MB
13 - 5 - A Dynamic Programming Algorithm II (9 min).mp4 12.5 MB
14 - 1 - Single-Source Shortest Paths, Revisted (11 min).mp4 15.9 MB
14 - 2 - Optimal Substructure (11 min).mp4 16.0 MB
14 - 3 - The Basic Algorithm I (9 min).mp4 12.7 MB
14 - 4 - The Basic Algorithm II (11 min).mp4 14.3 MB
14 - 5 - Detecting Negative Cycles (9 min).mp4 13.4 MB
14 - 6 - A Space Optimization (12 min).mp4 19.2 MB
14 - 7 - Internet Routing I [Optional] (11 min).mp4 17.5 MB
14 - 8 - Internet Routing II [Optional] (7 min).mp4 11.2 MB
15 - 1 - Problem Definition (7 min).mp4 9.9 MB
15 - 2 - Optimal Substructure (12 min).mp4 17.3 MB
15 - 3 - The Floyd-Warshall Algorithm (13 min).mp4 19.8 MB
15 - 4 - A Reweighting Technique (14 min).mp4 20.6 MB
15 - 5 - Johnson_'s Algorithm I (11 min).mp4 16.2 MB
15 - 6 - Johnson_'s Algorithm II (11 min).mp4 17.7 MB
16 - 1 - Polynomial-Time Solvable Problems (14 min).mp4 21.5 MB
16 - 2 - Reductions and Completeness (14 min).mp4 20.8 MB
16 - 3 - Definition and Interpretation of NP-Completeness I (11 min).mp4 17.1 MB
16 - 4 - Definition and Interpretation of NP-Completeness II (8 min).mp4 12.8 MB
16 - 5 - The P vs. NP Question (9 min).mp4 15.0 MB
16 - 6 - Algorithmic Approaches to NP-Complete Problems (13 min).mp4 20.8 MB
17 - 1 - The Vertex Cover Problem (9 min).mp4 13.4 MB
17 - 2 - Smarter Search for Vertex Cover I (10 min).mp4 14.8 MB
17 - 3 - Smarter Search for Vertex Cover II (8 min).mp4 10.9 MB
17 - 4 - The Traveling Salesman Problem (15 min).mp4 22.0 MB
17 - 5 - A Dynamic Programming Algorithm for TSP (12 min).mp4 18.3 MB
18 - 1 - A Greedy Knapsack Heuristic (14 min).mp4 19.7 MB
18 - 2 - Analysis of a Greedy Knapsack Heuristic I (7 min).mp4 9.4 MB
18 - 3 - Analysis of a Greedy Knapsack Heuristic II (10 min).mp4 13.0 MB
18 - 4 - A Dynamic Programming Heuristic for Knapsack (12 min).mp4 16.2 MB
18 - 5 - Knapsack via Dynamic Programming, Revisited (10 min).mp4 13.9 MB
18 - 6 - Ananysis of Dynamic Programming Heuristic (15 min).mp4 19.6 MB
19 - 1 - The Maximum Cut Problem I (9 min).mp4 13.0 MB
19 - 2 - The Maximum Cut Problem II (9 min).mp4 13.5 MB
19 - 3 - Principles of Local Search I (9 min).mp4 12.8 MB
19 - 4 - Principles of Local Search II (10 min).mp4 15.2 MB
19 - 5 - The 2-SAT Problem (15 min).mp4 20.6 MB
19 - 6 - Random Walks on a Line (16 min).mp4 22.4 MB
19 - 7 - Analysis of Papadimitriou_'s Algorithm (15 min).mp4 22.7 MB
2 - 1 - About the Course [Part I Review - Optional] (17 min).mp4 19.2 MB
2 - 2 - Why Study Algorithms_ [Part I Review - Optional] (19 min).mp4 21.2 MB
2 - 3 - Guiding Principles for Analysis of Algorithms [Part I Review - Optional] (15 min).mp4 19.8 MB
2 - 4 - Big-Oh Notation [Part I Review - Optional] (4 min).mp4 4.6 MB
2 - 5 - Graph Representations [Part I Review - Optional] (14 min).mp4 15.2 MB
2 - 6 - Graph Search - Overview [Part I Review - Optional] (23 min).mp4 25.5 MB
2 - 7 - Dijkstra_'s Shortest-Path Algorithm [Part I Review - Optional] (21 min).mp4 23.0 MB
2 - 8 - Data Structures_ Overview [Part I Review - Optional] (5).mp4 5.1 MB
2 - 9 - Heaps_ Operations and Applications [Part I Review - Optional] (18).mp4 20.4 MB
20 - 1 - Stable Matching [Optional] (15 min).mp4 23.6 MB
20 - 2 - Matchings, Flows, and Braess_'s Paradox [Optional] (14 min).mp4 22.0 MB
20 - 3 - Linear Programming and Beyond [Optional] (11 min).mp4 17.7 MB
20 - 4 - Epilogue (1 min).mp4 1.9 MB
3 - 1 - Introduction to Greedy Algorithms (13 min).mp4 18.9 MB
3 - 2 - Application_ Optimal Caching (11 min).mp4 15.7 MB
4 - 1 - Problem Definition (6 min).mp4 8.2 MB
4 - 2 - A Greedy Algorithm (13 min).mp4 18.0 MB
4 - 3 - Correctness Proof - Part I (7 min).mp4 9.7 MB
4 - 4 - Correctness Proof - Part II (5 min).mp4 6.5 MB
4 - 5 - Handling Ties [Advanced - Optional] (7 min).mp4 10.1 MB
5 - 1 - MST Problem Definition (11 min).mp4 15.7 MB
5 - 2 - Prim_'s MST Algorithm (8 min).mp4 10.5 MB
5 - 3 - Correctness Proof I (16 min).mp4 19.9 MB
5 - 4 - Correctness Proof II (8 min).mp4 10.6 MB
5 - 5 - Proof of Cut Property [Advanced - Optional] (12 min).mp4 15.7 MB
5 - 6 - Fast Implementation I (15 min).mp4 20.6 MB
5 - 7 - Fast Implementation II (10 min).mp4 13.8 MB
6 - 1 - Kruskal_'s MST Algorithm (8 min).mp4 11.6 MB
6 - 2 - Correctness of Kruskal_'s Algorithm (9 min).mp4 12.9 MB
6 - 3 - Implementing Kruskal_'s Algorithm via Union-Find I (9 min).mp4 13.5 MB
6 - 4 - Implementing Kruskal_'s Algorithm via Union-Find II (14 min).mp4 19.8 MB
6 - 5 - MSTs_ State-of-the-Art and Open Questions [Advanced - Optional] (9 min).mp4 14.9 MB
7 - 1 - Application to Clustering (12 min).mp4 15.9 MB
7 - 2 - Correctness of Clustering Algorithm (10 min).mp4 12.5 MB
8 - 1 - Lazy Unions [Advanced - Optional] (10 min).mp4 16.0 MB
8 - 2 - Union-by-Rank [Advanced - Optional] (12 min).mp4 19.1 MB
8 - 3 - Analysis of Union-by-Rank [Advanced - Optional](15).mp4 23.4 MB
8 - 4 - Path Compression [Advanced - Optional] (15).mp4 22.6 MB
8 - 5 - Path Compression_ The Hopcroft-Ullman Analysis I [Advanced - Optional].mp4 14.3 MB
8 - 6 - Path Compression_ The Hopcroft-Ullman Analysis II [Advanced - Optional].mp4 18.0 MB
8 - 7 - The Ackermann Function [Advanced - Optional](17 min).mp4 23.7 MB
8 - 8 - Path Compression_ Tarjan_'s Analysis I [Advanced - Optional].mp4 21.8 MB
8 - 9 - Path Compression_ Tarjan_'s Analysis II [Advanced - Optional].mp4 20.0 MB
9 - 1 - Introduction and Motivation (9 min).mp4 12.5 MB
9 - 2 - Problem Definition (10 min).mp4 16.1 MB
9 - 3 - A Greedy Algorithm (17 min).mp4 25.9 MB
9 - 5 - Correctness Proof I (10 min).mp4 14.0 MB
9 - 6 - Correctness Proof II (13 min).mp4 17.6 MB
algo1-about.pdf 214.1 kB
algo1-asymptotic1.pdf 676.2 kB
algo1-dijkstra-basics.pdf 2.8 MB
algo1-ds-heaps-basics.pdf 2.2 MB
algo1-ds-overview.pdf 864.7 kB
algo1-graphs-search.pdf 2.4 MB
algo1-guiding.pdf 1.5 MB
algo1-intro.pdf 1.3 MB
algo1-representations.pdf 1.9 MB
algo2-dp-alignment1-annotated.pdf 2.5 MB
algo2-dp-alignment2-annotated.pdf 2.4 MB
algo2-dp-apsp1-annotated.pdf 1.1 MB
algo2-dp-apsp2-annotated.pdf 2.0 MB
algo2-dp-apsp3-annotated.pdf 2.0 MB
algo2-dp-apsp4-annotated.pdf 2.5 MB
algo2-dp-apsp56-annotated.pdf 3.2 MB
algo2-dp-bf1-annotated.pdf 1.9 MB
algo2-dp-bf2-annotated.pdf 2.0 MB
algo2-dp-bf34-annotated.pdf 2.4 MB
algo2-dp-bf5-annotated.pdf 1.3 MB
algo2-dp-bf6-annotated.pdf 2.3 MB
algo2-dp-bf78-annotated.pdf 1.8 MB
algo2-dp-bst1-annotated.pdf 2.0 MB
algo2-dp-bst23-annotated.pdf 3.4 MB
algo2-dp-bst45-annotated.pdf 3.0 MB
algo2-dp-knapsack1-annotated.pdf 1.6 MB
algo2-dp-knapsack2-annotated.pdf 1.5 MB
algo2-dp-wis1-annotated.pdf 1.2 MB
algo2-dp-wis2-annotated.pdf 1.8 MB
algo2-dp-wis3-annotated.pdf 1.7 MB
algo2-dp-wis4-annotated.pdf 1.2 MB
algo2-dp-wis5-annotated.pdf 882.8 kB
algo2-greedy-clustering1-annotated.pdf 1.9 MB
algo2-greedy-clustering2-annotated.pdf 1.7 MB
algo2-greedy-fif-annotated.pdf 1.2 MB
algo2-greedy-huffman1-annotated.pdf 1.7 MB
algo2-greedy-huffman2-annotated.pdf 2.0 MB
algo2-greedy-huffman3-annotated.pdf 2.8 MB
algo2-greedy-huffman45-annotated.pdf 3.7 MB
algo2-greedy-intro-annotated.pdf 1.8 MB
algo2-greedy-kruskal1-annotated.pdf 769.7 kB
algo2-greedy-kruskal2-annotated.pdf 1.6 MB
algo2-greedy-kruskal34-annotated.pdf 3.6 MB
algo2-greedy-kruskal5-annotated.pdf 1.3 MB
algo2-greedy-mst1-annotated.pdf 1.7 MB
algo2-greedy-mst2-annotated.pdf 1.2 MB
algo2-greedy-mst3-annotated.pdf 2.6 MB
algo2-greedy-mst4-annotated.pdf 1.1 MB
algo2-greedy-mst5-annotated.pdf 2.3 MB
algo2-greedy-mst6-annotated.pdf 3.5 MB
algo2-greedy-sched1-annotated.pdf 966.8 kB
algo2-greedy-sched2-annotated.pdf 1.7 MB
algo2-greedy-sched3-annotated.pdf 1.4 MB
algo2-greedy-sched4-annotated.pdf 973.1 kB
algo2-greedy-sched5-annotated.pdf 1.4 MB
algo2-greedy-union-find1-annotated.pdf 1.7 MB
algo2-greedy-union-find2-annotated.pdf 2.2 MB
algo2-greedy-union-find3-annotated.pdf 2.8 MB
algo2-greedy-union-find4-annotated.pdf 2.1 MB
algo2-greedy-union-find56-annotated.pdf 3.2 MB
algo2-greedy-union-find7-annotated.pdf 2.6 MB
algo2-greedy-union-find89-annotated.pdf 3.6 MB
algo2-intro-alignment-annotated.pdf 2.2 MB
algo2-intro-routing-annotated.pdf 1.5 MB
algo2-np-approx1-annotated.pdf 2.2 MB
algo2-np-approx23-annotated.pdf 2.8 MB
algo2-np-approx4-annotated.pdf 1.7 MB
algo2-np-approx5-annotated.pdf 1.5 MB
algo2-np-approx6-annotated.pdf 2.2 MB
algo2-np-exact1-annotated.pdf 1.3 MB
algo2-np-exact23-annotated.pdf 2.8 MB
algo2-np-exact4-annotated.pdf 3.1 MB
algo2-np-exact5-annotated.pdf 2.2 MB
algo2-np-local12-annotated.pdf 3.2 MB
algo2-np-local34-annotated.pdf 2.8 MB
algo2-np-local5-annotated.pdf 1.8 MB
algo2-np-local6-annotated.pdf 2.4 MB
algo2-np-local7-annotated.pdf 2.6 MB
algo2-np-npc1-annotated.pdf 1.9 MB
algo2-np-npc2-annotated.pdf 1.8 MB
algo2-np-npc34-annotated.pdf 2.3 MB
algo2-np-npc5-annotated.pdf 1.3 MB
algo2-np-npc6-annotated.pdf 1.2 MB
algo2-np-wider123-annotated.pdf 5.4 MB
imgres.html 24.5 kB

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