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Coursera- Algorithm Design & Analysis 2

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2015-11-1 09:27 2024-12-14 20:57 146 1.67 GB 102
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Coursera- Algorithm Design & Analysis 2

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