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Algo2-Stanford

文件类型 收录时间 最后活跃 资源热度 文件大小 文件数量
2014-5-16 23:06 2024-10-19 12:23 63 1.71 GB 118
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Algo2-Stanford

文件列表
  1. 1 - 1 - Application- Internet Routing (11 min).mp413.85MB
  2. 1 - 2 - Application- Sequence Alignment (9 min).mp411.1MB
  3. 10 - 1 - Introduction- Weighted Independent Sets in Path Graphs (8 min).mp411.26MB
  4. 10 - 2 - WIS in Path Graphs- Optimal Substructure (9 min).mp413.52MB
  5. 10 - 3 - WIS in Path Graphs- A Linear-Time Algorithm (10 min).mp414.54MB
  6. 10 - 4 - WIS in Path Graphs- A Reconstruction Algorithm (7 min).mp49.62MB
  7. 10 - 5 - Principles of Dynamic Programming (8 min).mp412.27MB
  8. 11 - 1 - The Knapsack Problem (10 min).mp414.08MB
  9. 11 - 2 - A Dynamic Programming Algorithm (10 min).mp413.61MB
  10. 11 - 3 - Example [Review - Optional] (14 min).mp424.21MB
  11. 12 - 1 - Optimal Substructure (14 min).mp419.54MB
  12. 12 - 2 - A Dynamic Programming Algorithm (12 min).mp416.71MB
  13. 13 - 1 - Problem Definition (12 min).mp417.19MB
  14. 13 - 2 - Optimal Substructure (9 min).mp413.94MB
  15. 13 - 3 - Proof of Optimal Substructure (7 min) (1).mp49.86MB
  16. 13 - 3 - Proof of Optimal Substructure (7 min).mp49.86MB
  17. 13 - 4 - A Dynamic Programming Algorithm I (10 min) (1).mp414.05MB
  18. 13 - 4 - A Dynamic Programming Algorithm I (10 min).mp414.05MB
  19. 13 - 5 - A Dynamic Programming Algorithm II (9 min) (1).mp411.94MB
  20. 13 - 5 - A Dynamic Programming Algorithm II (9 min).mp411.94MB
  21. 14 - 1 - Single-Source Shortest Paths, Revisted (11 min) (1).mp415.15MB
  22. 14 - 1 - Single-Source Shortest Paths, Revisted (11 min).mp415.15MB
  23. 14 - 2 - Optimal Substructure (11 min) (1).mp415.27MB
  24. 14 - 2 - Optimal Substructure (11 min).mp415.27MB
  25. 14 - 3 - The Basic Algorithm I (9 min) (1).mp412.11MB
  26. 14 - 3 - The Basic Algorithm I (9 min).mp412.11MB
  27. 14 - 4 - The Basic Algorithm II (11 min) (1).mp413.61MB
  28. 14 - 4 - The Basic Algorithm II (11 min).mp413.61MB
  29. 14 - 5 - Detecting Negative Cycles (9 min) (1).mp412.78MB
  30. 14 - 5 - Detecting Negative Cycles (9 min).mp412.78MB
  31. 14 - 6 - A Space Optimization (12 min) (1).mp418.34MB
  32. 14 - 6 - A Space Optimization (12 min).mp418.34MB
  33. 14 - 7 - Internet Routing I [Optional] (11 min) (1).mp416.72MB
  34. 14 - 7 - Internet Routing I [Optional] (11 min).mp416.72MB
  35. 14 - 8 - Internet Routing II [Optional] (7 min) (1).mp410.68MB
  36. 14 - 8 - Internet Routing II [Optional] (7 min).mp410.68MB
  37. 15 - 1 - Problem Definition (7 min) (1).mp49.48MB
  38. 15 - 1 - Problem Definition (7 min) (2).mp49.48MB
  39. 15 - 1 - Problem Definition (7 min).mp49.48MB
  40. 15 - 2 - Optimal Substructure (12 min) (1).mp416.53MB
  41. 15 - 2 - Optimal Substructure (12 min).mp416.53MB
  42. 15 - 3 - The Floyd-Warshall Algorithm (13 min).mp418.89MB
  43. 15 - 4 - A Reweighting Technique (14 min).mp419.62MB
  44. 15 - 5 - Johnson-'s Algorithm I (11 min).mp415.49MB
  45. 15 - 6 - Johnson-'s Algorithm II (11 min).mp416.86MB
  46. 16 - 1 - Polynomial-Time Solvable Problems (14 min).mp420.49MB
  47. 16 - 2 - Reductions and Completeness (14 min).mp419.86MB
  48. 16 - 3 - Definition and Interpretation of NP-Completeness I (11 min).mp416.35MB
  49. 16 - 4 - Definition and Interpretation of NP-Completeness II (8 min).mp412.18MB
  50. 16 - 5 - The P vs. NP Question (9 min).mp414.28MB
  51. 16 - 6 - Algorithmic Approaches to NP-Complete Problems (13 min).mp419.86MB
  52. 17 - 1 - The Vertex Cover Problem (9 min).mp412.75MB
  53. 17 - 2 - Smarter Search for Vertex Cover I (10 min).mp414.14MB
  54. 17 - 3 - Smarter Search for Vertex Cover II (8 min).mp410.37MB
  55. 17 - 4 - The Traveling Salesman Problem (15 min).mp421MB
  56. 17 - 5 - A Dynamic Programming Algorithm for TSP (12 min).mp417.45MB
  57. 18 - 1 - A Greedy Knapsack Heuristic (14 min).mp418.74MB
  58. 18 - 2 - Analysis of a Greedy Knapsack Heuristic I (7 min).mp48.93MB
  59. 18 - 3 - Analysis of a Greedy Knapsack Heuristic II (10 min).mp412.4MB
  60. 18 - 4 - A Dynamic Programming Heuristic for Knapsack (12 min).mp415.41MB
  61. 18 - 5 - Knapsack via Dynamic Programming, Revisited (10 min).mp413.22MB
  62. 18 - 6 - Ananysis of Dynamic Programming Heuristic (15 min).mp418.7MB
  63. 19 - 1 - The Maximum Cut Problem I (9 min).mp412.41MB
  64. 19 - 2 - The Maximum Cut Problem II (9 min).mp412.84MB
  65. 19 - 3 - Principles of Local Search I (9 min).mp412.22MB
  66. 19 - 4 - Principles of Local Search II (10 min).mp414.49MB
  67. 19 - 5 - The 2-SAT Problem (15 min).mp419.64MB
  68. 19 - 6 - Random Walks on a Line (16 min).mp421.33MB
  69. 19 - 7 - Analysis of Papadimitriou-'s Algorithm (15 min).mp421.62MB
  70. 2 - 1 - About the Course [Part I Review - Optional] (17 min).mp418.33MB
  71. 2 - 2 - Why Study Algorithms- [Part I Review - Optional] (19 min).mp420.25MB
  72. 2 - 3 - Guiding Principles for Analysis of Algorithms [Part I Review - Optional] (15 min).mp418.86MB
  73. 2 - 4 - Big-Oh Notation [Part I Review - Optional] (4 min).mp44.36MB
  74. 2 - 5 - Graph Representations [Part I Review - Optional] (14 min).mp414.48MB
  75. 2 - 6 - Graph Search - Overview [Part I Review - Optional] (23 min).mp424.36MB
  76. 2 - 7 - Dijkstra-'s Shortest-Path Algorithm [Part I Review - Optional] (21 min).mp421.92MB
  77. 2 - 8 - Data Structures- Overview [Part I Review - Optional] (5 min).mp44.89MB
  78. 2 - 9 - Heaps- Operations and Applications [Part I Review - Optional] (18 min).mp419.49MB
  79. 20 - 1 - Stable Matching [Optional] (15 min).mp422.55MB
  80. 20 - 2 - Matchings, Flows, and Braess-'s Paradox [Optional] (14 min).mp420.96MB
  81. 20 - 3 - Linear Programming and Beyond [Optional] (11 min).mp416.84MB
  82. 20 - 4 - Epilogue (1 min).mp41.79MB
  83. 3 - 1 - Introduction to Greedy Algorithms (13 min).mp418.04MB
  84. 3 - 2 - Application- Optimal Caching (11 min).mp414.97MB
  85. 4 - 1 - Problem Definition (6 min).mp47.79MB
  86. 4 - 2 - A Greedy Algorithm (13 min).mp417.16MB
  87. 4 - 3 - Correctness Proof - Part I (7 min).mp49.22MB
  88. 4 - 4 - Correctness Proof - Part II (5 min).mp46.22MB
  89. 4 - 5 - Handling Ties [Advanced - Optional] (7 min).mp49.65MB
  90. 5 - 1 - MST Problem Definition (11 min).mp415MB
  91. 5 - 2 - Prim-'s MST Algorithm (8 min).mp49.99MB
  92. 5 - 3 - Correctness Proof I (16 min).mp419.02MB
  93. 5 - 4 - Correctness Proof II (8 min).mp410.14MB
  94. 5 - 5 - Proof of Cut Property [Advanced - Optional] (12 min).mp460.81KB
  95. 5 - 6 - Fast Implementation I (15 min).mp419.66MB
  96. 5 - 7 - Fast Implementation II (10 min).mp413.17MB
  97. 6 - 1 - Kruskal-'s MST Algorithm (8 min).mp411.02MB
  98. 6 - 2 - Correctness of Kruskal-'s Algorithm (9 min).mp412.3MB
  99. 6 - 3 - Implementing Kruskal-'s Algorithm via Union-Find I (9 min).mp412.9MB
  100. 6 - 4 - Implementing Kruskal-'s Algorithm via Union-Find II (14 min).mp418.88MB
  101. 6 - 5 - MSTs- State-of-the-Art and Open Questions [Advanced - Optional] (9 min).mp414.23MB
  102. 7 - 1 - Application to Clustering (12 min).mp415.13MB
  103. 7 - 2 - Correctness of Clustering Algorithm (10 min).mp411.93MB
  104. 8 - 1 - Lazy Unions [Advanced - Optional] (10 min).mp415.24MB
  105. 8 - 2 - Union-by-Rank [Advanced - Optional] (12 min).mp418.19MB
  106. 8 - 3 - Analysis of Union-by-Rank [Advanced - Optional] (15 min).mp422.29MB
  107. 8 - 4 - Path Compression [Advanced - Optional] (15 min).mp421.51MB
  108. 8 - 5 - Path Compression- The Hopcroft-Ullman Analysis I [Advanced - Optional] (9 min).mp413.66MB
  109. 8 - 6 - Path Compression- The Hopcroft-Ullman Analysis II [Advanced - Optional] (12 min).mp417.17MB
  110. 8 - 7 - The Ackermann Function [Advanced - Optional] (17 min).mp422.64MB
  111. 8 - 8 - Path Compression- Tarjan-'s Analysis I [Advanced - Optional] (14 min).mp420.78MB
  112. 8 - 9 - Path Compression- Tarjan-'s Analysis II [Advanced - Optional] (14 min).mp419.09MB
  113. 9 - 1 - Introduction and Motivation (9 min).mp411.89MB
  114. 9 - 2 - Problem Definition (10 min).mp415.35MB
  115. 9 - 3 - A Greedy Algorithm (17 min).mp424.7MB
  116. 9 - 4 - A More Complex Example (4 min).mp45.51MB
  117. 9 - 5 - Correctness Proof I (10 min).mp413.3MB
  118. 9 - 6 - Correctness Proof II (13 min).mp416.75MB
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