Coursera- Algorithm Design & Analysis 2 收录时间:2018-04-24 04:24:20 文件大小:2GB 下载次数:123 最近下载:2021-01-22 16:00:36 磁力链接: magnet:?xt=urn:btih:2de8e0d6399c1794e90e771f4e5f86ca2994aa72 立即下载 复制链接 文件列表 9 - 3 - A Greedy Algorithm (17 min).mp4 25MB 2 - 6 - Graph Search - Overview [Part I Review - Optional] (23 min).mp4 24MB 8 - 7 - The Ackermann Function [Advanced - Optional](17 min).mp4 23MB 20 - 1 - Stable Matching [Optional] (15 min).mp4 23MB 8 - 3 - Analysis of Union-by-Rank [Advanced - Optional](15).mp4 22MB 2 - 7 - Dijkstra_'s Shortest-Path Algorithm [Part I Review - Optional] (21 min).mp4 22MB 19 - 7 - Analysis of Papadimitriou_'s Algorithm (15 min).mp4 22MB 8 - 4 - Path Compression [Advanced - Optional] (15).mp4 22MB 19 - 6 - Random Walks on a Line (16 min).mp4 21MB 17 - 4 - The Traveling Salesman Problem (15 min).mp4 21MB 20 - 2 - Matchings, Flows, and Braess_'s Paradox [Optional] (14 min).mp4 21MB 8 - 8 - Path Compression_ Tarjan_'s Analysis I [Advanced - Optional].mp4 21MB 16 - 1 - Polynomial-Time Solvable Problems (14 min).mp4 20MB 2 - 2 - Why Study Algorithms_ [Part I Review - Optional] (19 min).mp4 20MB 16 - 2 - Reductions and Completeness (14 min).mp4 20MB 16 - 6 - Algorithmic Approaches to NP-Complete Problems (13 min).mp4 20MB 5 - 6 - Fast Implementation I (15 min).mp4 20MB 19 - 5 - The 2-SAT Problem (15 min).mp4 20MB 15 - 4 - A Reweighting Technique (14 min).mp4 20MB 12 - 1 - Optimal Substructure (14 min).mp4 20MB 2 - 9 - Heaps_ Operations and Applications [Part I Review - Optional] (18).mp4 19MB 8 - 9 - Path Compression_ Tarjan_'s Analysis II [Advanced - Optional].mp4 19MB 5 - 3 - Correctness Proof I (16 min).mp4 19MB 15 - 3 - The Floyd-Warshall Algorithm (13 min).mp4 19MB 6 - 4 - Implementing Kruskal_'s Algorithm via Union-Find II (14 min).mp4 19MB 2 - 3 - Guiding Principles for Analysis of Algorithms [Part I Review - Optional] (15 min).mp4 19MB 18 - 1 - A Greedy Knapsack Heuristic (14 min).mp4 19MB 18 - 6 - Ananysis of Dynamic Programming Heuristic (15 min).mp4 19MB 14 - 6 - A Space Optimization (12 min).mp4 18MB 2 - 1 - About the Course [Part I Review - Optional] (17 min).mp4 18MB 8 - 2 - Union-by-Rank [Advanced - Optional] (12 min).mp4 18MB 3 - 1 - Introduction to Greedy Algorithms (13 min).mp4 18MB 17 - 5 - A Dynamic Programming Algorithm for TSP (12 min).mp4 17MB 13 - 1 - Problem Definition (12 min).mp4 17MB 8 - 6 - Path Compression_ The Hopcroft-Ullman Analysis II [Advanced - Optional].mp4 17MB 4 - 2 - A Greedy Algorithm (13 min).mp4 17MB 15 - 6 - Johnson_'s Algorithm II (11 min).mp4 17MB 20 - 3 - Linear Programming and Beyond [Optional] (11 min).mp4 17MB 9 - 6 - Correctness Proof II (13 min).mp4 17MB 14 - 7 - Internet Routing I [Optional] (11 min).mp4 17MB 12 - 2 - A Dynamic Programming Algorithm (12 min).mp4 17MB 15 - 2 - Optimal Substructure (12 min).mp4 17MB 16 - 3 - Definition and Interpretation of NP-Completeness I (11 min).mp4 16MB 15 - 5 - Johnson_'s Algorithm I (11 min).mp4 15MB 18 - 4 - A Dynamic Programming Heuristic for Knapsack (12 min).mp4 15MB 9 - 2 - Problem Definition (10 min).mp4 15MB 14 - 2 - Optimal Substructure (11 min).mp4 15MB 8 - 1 - Lazy Unions [Advanced - Optional] (10 min).mp4 15MB 14 - 1 - Single-Source Shortest Paths, Revisted (11 min).mp4 15MB 7 - 1 - Application to Clustering (12 min).mp4 15MB 5 - 1 - MST Problem Definition (11 min).mp4 15MB 5 - 5 - Proof of Cut Property [Advanced - Optional] (12 min).mp4 15MB 3 - 2 - Application_ Optimal Caching (11 min).mp4 15MB 10 - 3 - WIS in Path Graphs_ A Linear-Time Algorithm (10 min).mp4 15MB 19 - 4 - Principles of Local Search II (10 min).mp4 14MB 2 - 5 - Graph Representations [Part I Review - Optional] (14 min).mp4 14MB 16 - 5 - The P vs. NP Question (9 min).mp4 14MB 6 - 5 - MSTs_ State-of-the-Art and Open Questions [Advanced - Optional] (9 min).mp4 14MB 17 - 2 - Smarter Search for Vertex Cover I (10 min).mp4 14MB 11 - 1 - The Knapsack Problem (10 min).mp4 14MB 13 - 4 - A Dynamic Programming Algorithm I (10 min).mp4 14MB 13 - 2 - Optimal Substructure (9 min).mp4 14MB 1 - 1 - Application_ Internet Routing (11 min).mp4 14MB 8 - 5 - Path Compression_ The Hopcroft-Ullman Analysis I [Advanced - Optional].mp4 14MB 11 - 2 - A Dynamic Programming Algorithm (10 min).mp4 14MB 14 - 4 - The Basic Algorithm II (11 min).mp4 14MB 10 - 2 - WIS in Path Graphs_ Optimal Substructure (9 min).mp4 14MB 9 - 5 - Correctness Proof I (10 min).mp4 13MB 18 - 5 - Knapsack via Dynamic Programming, Revisited (10 min).mp4 13MB 5 - 7 - Fast Implementation II (10 min).mp4 13MB 6 - 3 - Implementing Kruskal_'s Algorithm via Union-Find I (9 min).mp4 13MB 19 - 2 - The Maximum Cut Problem II (9 min).mp4 13MB 14 - 5 - Detecting Negative Cycles (9 min).mp4 13MB 17 - 1 - The Vertex Cover Problem (9 min).mp4 13MB 19 - 1 - The Maximum Cut Problem I (9 min).mp4 12MB 18 - 3 - Analysis of a Greedy Knapsack Heuristic II (10 min).mp4 12MB 6 - 2 - Correctness of Kruskal_'s Algorithm (9 min).mp4 12MB 10 - 5 - Principles of Dynamic Programming (8 min).mp4 12MB 19 - 3 - Principles of Local Search I (9 min).mp4 12MB 16 - 4 - Definition and Interpretation of NP-Completeness II (8 min).mp4 12MB 14 - 3 - The Basic Algorithm I (9 min).mp4 12MB 13 - 5 - A Dynamic Programming Algorithm II (9 min).mp4 12MB 7 - 2 - Correctness of Clustering Algorithm (10 min).mp4 12MB 9 - 1 - Introduction and Motivation (9 min).mp4 12MB 10 - 1 - Introduction_ Weighted Independent Sets in Path Graphs (8 min).mp4 11MB 1 - 2 - Application_ Sequence Alignment (9 min).mp4 11MB 6 - 1 - Kruskal_'s MST Algorithm (8 min).mp4 11MB 14 - 8 - Internet Routing II [Optional] (7 min).mp4 11MB 17 - 3 - Smarter Search for Vertex Cover II (8 min).mp4 10MB 5 - 4 - Correctness Proof II (8 min).mp4 10MB 5 - 2 - Prim_'s MST Algorithm (8 min).mp4 10MB 13 - 3 - Proof of Optimal Substructure (7 min).mp4 10MB 4 - 5 - Handling Ties [Advanced - Optional] (7 min).mp4 10MB 10 - 4 - WIS in Path Graphs_ A Reconstruction Algorithm (7 min).mp4 10MB 15 - 1 - Problem Definition (7 min).mp4 9MB 4 - 3 - Correctness Proof - Part I (7 min).mp4 9MB 18 - 2 - Analysis of a Greedy Knapsack Heuristic I (7 min).mp4 9MB 4 - 1 - Problem Definition (6 min).mp4 8MB 4 - 4 - Correctness Proof - Part II (5 min).mp4 6MB algo2-np-wider123-annotated.pdf 5MB 2 - 8 - Data Structures_ Overview [Part I Review - Optional] (5).mp4 5MB 2 - 4 - Big-Oh Notation [Part I Review - Optional] (4 min).mp4 4MB algo2-greedy-huffman45-annotated.pdf 3MB algo2-greedy-union-find89-annotated.pdf 3MB algo2-greedy-kruskal34-annotated.pdf 3MB algo2-greedy-mst6-annotated.pdf 3MB algo2-dp-bst23-annotated.pdf 3MB algo2-np-local12-annotated.pdf 3MB algo2-dp-apsp56-annotated.pdf 3MB algo2-greedy-union-find56-annotated.pdf 3MB algo2-np-exact4-annotated.pdf 3MB algo2-dp-bst45-annotated.pdf 3MB algo2-np-approx23-annotated.pdf 3MB algo1-dijkstra-basics.pdf 3MB algo2-np-exact23-annotated.pdf 3MB algo2-greedy-huffman3-annotated.pdf 3MB algo2-np-local34-annotated.pdf 3MB algo2-greedy-union-find3-annotated.pdf 3MB algo2-np-local7-annotated.pdf 2MB algo2-greedy-union-find7-annotated.pdf 2MB algo2-greedy-mst3-annotated.pdf 2MB algo2-dp-apsp4-annotated.pdf 2MB algo2-dp-alignment1-annotated.pdf 2MB algo2-dp-bf34-annotated.pdf 2MB algo1-graphs-search.pdf 2MB algo2-np-local6-annotated.pdf 2MB algo2-dp-alignment2-annotated.pdf 2MB algo2-np-npc34-annotated.pdf 2MB algo2-dp-bf6-annotated.pdf 2MB algo2-greedy-mst5-annotated.pdf 2MB algo2-greedy-union-find2-annotated.pdf 2MB algo1-ds-heaps-basics.pdf 2MB algo2-intro-alignment-annotated.pdf 2MB algo2-np-exact5-annotated.pdf 2MB algo2-np-approx1-annotated.pdf 2MB algo2-np-approx6-annotated.pdf 2MB algo2-greedy-union-find4-annotated.pdf 2MB algo2-dp-bf2-annotated.pdf 2MB algo2-dp-bst1-annotated.pdf 2MB algo2-greedy-huffman2-annotated.pdf 2MB algo2-dp-apsp3-annotated.pdf 2MB algo2-dp-apsp2-annotated.pdf 2MB algo2-np-npc1-annotated.pdf 2MB algo2-dp-bf1-annotated.pdf 2MB algo1-representations.pdf 2MB algo2-greedy-clustering1-annotated.pdf 2MB 20 - 4 - Epilogue (1 min).mp4 2MB algo2-np-npc2-annotated.pdf 2MB algo2-greedy-intro-annotated.pdf 2MB algo2-np-local5-annotated.pdf 2MB algo2-dp-bf78-annotated.pdf 2MB algo2-dp-wis2-annotated.pdf 2MB algo2-np-approx4-annotated.pdf 2MB algo2-greedy-huffman1-annotated.pdf 2MB algo2-greedy-union-find1-annotated.pdf 2MB algo2-greedy-sched2-annotated.pdf 2MB algo2-greedy-clustering2-annotated.pdf 2MB algo2-greedy-mst1-annotated.pdf 2MB algo2-dp-wis3-annotated.pdf 2MB algo2-greedy-kruskal2-annotated.pdf 2MB algo2-dp-knapsack1-annotated.pdf 1MB algo2-np-approx5-annotated.pdf 1MB algo2-dp-knapsack2-annotated.pdf 1MB algo2-intro-routing-annotated.pdf 1MB algo1-guiding.pdf 1MB algo2-greedy-sched5-annotated.pdf 1MB algo2-greedy-sched3-annotated.pdf 1MB algo2-np-npc5-annotated.pdf 1MB algo1-intro.pdf 1MB algo2-greedy-kruskal5-annotated.pdf 1MB algo2-dp-bf5-annotated.pdf 1MB algo2-np-exact1-annotated.pdf 1MB algo2-dp-wis1-annotated.pdf 1MB algo2-dp-wis4-annotated.pdf 1MB algo2-greedy-fif-annotated.pdf 1MB algo2-greedy-mst2-annotated.pdf 1MB algo2-np-npc6-annotated.pdf 1MB algo2-greedy-mst4-annotated.pdf 1MB algo2-dp-apsp1-annotated.pdf 1MB algo2-greedy-sched4-annotated.pdf 950KB algo2-greedy-sched1-annotated.pdf 944KB algo2-dp-wis5-annotated.pdf 862KB algo1-ds-overview.pdf 844KB algo2-greedy-kruskal1-annotated.pdf 752KB algo1-asymptotic1.pdf 660KB algo1-about.pdf 209KB imgres.html 24KB