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Coursera- Algorithm Design & Analysis 1

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2015-12-14 17:32 2024-12-16 17:49 162 1.4 GB 82
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Coursera- Algorithm Design & Analysis 1

文件列表
  1. 1 - 1 - Why Study Algorithms _ (4 min).mp47.98MB
  2. 1 - 2 - Integer Multiplication (9 min).mp416.86MB
  3. 1 - 3 - Karatsuba Multiplication (13 min).mp421.66MB
  4. 1 - 4 - About the Course (17 min).mp417.37MB
  5. 1 - 5 - Merge Sort_ Motivation and Example (9 min).mp410.68MB
  6. 1 - 6 - Merge Sort_ Pseudocode (13 min).mp415.01MB
  7. 1 - 7 - Merge Sort_ Analysis (9 min).mp411.31MB
  8. 1 - 8 - Guiding Principles for Analysis of Algorithms (15 min).mp417.99MB
  9. 10 - 1 - Graph Search - Overview (23 min).mp423.25MB
  10. 10 - 2 - Breadth-First Search (BFS)_ The Basics (14 min).mp414.28MB
  11. 10 - 3 - BFS and Shortest Paths (8 min).mp47.9MB
  12. 10 - 4 - BFS and Undirected Connectivity (13 min).mp413.7MB
  13. 10 - 5 - Depth-First Search (DFS)_ The Basics (7 min).mp47.16MB
  14. 10 - 6 - Topological Sort (22 min).mp422.08MB
  15. 10 - 7 - Computing Strong Components_ The Algorithm (29 min).mp429.5MB
  16. 10 - 8 - Computing Strong Components_ The Analysis (26 min).mp426.77MB
  17. 10 - 9 - Structure of the Web [Optional] (19 min).mp418.63MB
  18. 11 - 1 - Dijkstra_'s Shortest-Path Algorithm (21 min).mp420.96MB
  19. 11 - 2 - Dijkstra_'s Algorithm_ Examples (13 min).mp412.88MB
  20. 11 - 3 - Correctness of Dijkstra_'s Algorithm [Advanced - Optional] (19 min).mp420.31MB
  21. 11 - 4 - Dijkstra_'s Algorithm_ Implementation and Running Time (26 min).mp426.46MB
  22. 12 - 1 - Data Structures_ Overview (5 min).mp44.66MB
  23. 12 - 2 - Heaps_ Operations and Applications (18 min).mp418.62MB
  24. 12 - 3 - Heaps_ Implementation Details [Advanced - Optional] (21 min).mp420.92MB
  25. 13 - 1 - Balanced Search Trees_ Operations and Applications (11 min).mp410.99MB
  26. 13 - 2 - Binary Search Tree Basics, Part I (13 min).mp413.28MB
  27. 13 - 3 - Binary Search Tree Basics, Part II (30 min).mp429.97MB
  28. 13 - 4 - Red-Black Trees (21 min).mp421.83MB
  29. 13 - 5 - Rotations [Advanced - Optional] (8 min).mp410.32MB
  30. 13 - 6 - Insertion in a Red-Black Tree [Advanced] (15 min).mp420.78MB
  31. 14 - 1 - Hash Tables_ Operations and Applications (19 min).mp419.73MB
  32. 14 - 2 - Hash Tables_ Implementation Details, Part I (19 min).mp419.88MB
  33. 14 - 3 - Hash Tables_ Implementation Details, Part II (22 min).mp422.53MB
  34. 15 - 1 - Pathological Data Sets and Universal Hashing Motivation (22 min).mp422.49MB
  35. 15 - 2 - Universal Hashing_ Definition and Example [Advanced - Optional] (26 min).mp426.15MB
  36. 15 - 3 - Universal Hashing_ Analysis of Chaining [Advanced - Optional] (19 min).mp418.46MB
  37. 15 - 4 - Hash Table Performance with Open Addressing [Advanced - Optional] (16 min).mp415.6MB
  38. 16 - 1 - Bloom Filters_ The Basics (16 min).mp415.43MB
  39. 16 - 2 - Bloom Filters_ Heuristic Analysis (13 min).mp413.57MB
  40. 17 - 1 - Application_ Internet Routing [Optional] (11 min).mp413.85MB
  41. 17 - 2 - Application_ Sequence Alignment [Optional] (9 min).mp411.1MB
  42. 17 - 3 - Introduction to Greedy Algorithms [Optional] (13 min).mp418.04MB
  43. 17 - 4 - Huffman Codes_ Introduction and Motivation [Optional] (9 min).mp411.89MB
  44. 17 - 5 - Principles of Dynamic Programming [Optional] (8 min).mp412.27MB
  45. 17 - 6 - The P vs. NP Question [Optional] (9 min).mp414.28MB
  46. 17 - 7 - Algorithmic Approaches to NP-Complete Problems [Optional] (13 min).mp419.86MB
  47. 2 - 1 - The Gist (14 min).mp427.68MB
  48. 2 - 2 - Big-Oh Notation (4 min).mp44.13MB
  49. 2 - 3 - Basic Examples (7 min).mp47.3MB
  50. 2 - 4 - Big Omega and Theta (7 min).mp47.49MB
  51. 2 - 5 - Additional Examples [Review - Optional] (8 min).mp47.72MB
  52. 3 - 1 - O(n log n) Algorithm for Counting Inversions I (13 min).mp412.85MB
  53. 3 - 2 - O(n log n) Algorithm for Counting Inversions II (17 min).mp417.19MB
  54. 3 - 3 - Strassen_'s Subcubic Matrix Multiplication Algorithm (22 min).mp423.57MB
  55. 3 - 4 - O(n log n) Algorithm for Closest Pair I [Advanced - Optional] (32 min).mp436.22MB
  56. 3 - 5 - O(n log n) Algorithm for Closest Pair II [Advanced - Optional] (19 min).mp420.14MB
  57. 4 - 1 - Motivation (8 min).mp48.25MB
  58. 4 - 2 - Formal Statement (10 min).mp410.42MB
  59. 4 - 3 - Examples (13 min).mp414.4MB
  60. 4 - 4 - Proof I (10 min).mp411.46MB
  61. 4 - 5 - Interpretation of the 3 Cases (11 min).mp413.11MB
  62. 4 - 6 - Proof II (16 min).mp416.6MB
  63. 5 - 1 - Quicksort_ Overview (12 min).mp412.19MB
  64. 5 - 2 - Partitioning Around a Pivot (25 min).mp424.84MB
  65. 5 - 3 - Correctness of Quicksort [Review - Optional] (11 min).mp411.82MB
  66. 5 - 4 - Choosing a Good Pivot (22min).mp427.55MB
  67. 6 - 1 - Analysis I_ A Decomposition Principle [Advanced - Optional] (22 min).mp421.65MB
  68. 6 - 2 - Analysis II_ The Key Insight [Advanced - Optional] (12min).mp411.98MB
  69. 6 - 3 - Analysis III_ Final Calculations [Advanced - Optional] (9min).mp48.92MB
  70. 7 - 1 - Part I [Review - Optional] (25 min).mp425.42MB
  71. 7 - 2 - Part II [Review - Optional] (17 min).mp417.26MB
  72. 8 - 1 - Randomized Selection - Algorithm (22 min).mp421.4MB
  73. 8 - 2 - Randomized Selection - Analysis (21 min).mp420.62MB
  74. 8 - 3 - Deterministic Selection - Algorithm [Advanced - Optional] (17 min).mp417.55MB
  75. 8 - 4 - Deterministic Selection - Analysis I [Advanced - Optional] (22 min).mp422.82MB
  76. 8 - 5 - Deterministic Selection - Analysis II [Advanced - Optional] (13 min).mp412.83MB
  77. 8 - 6 - Omega(n log n) Lower Bound for Comparison-Based Sorting [Advanced - Optional] (13 min).mp413.68MB
  78. 9 - 1 - Graphs and Minimum Cuts (16 min).mp415.21MB
  79. 9 - 2 - Graph Representations (14 min).mp415.69MB
  80. 9 - 3 - Random Contraction Algorithm (9 min).mp48.28MB
  81. 9 - 4 - Analysis of Contraction Algorithm (30 min).mp429.87MB
  82. 9 - 5 - Counting Minimum Cuts (7 min).mp47.41MB
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