Coursera Stanford University - Design and Analysis of Algorithms I : Algorithms and Data Structures

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Torrent Size :	768.39 MB

Coursera Stanford University - Design and Analysis of Algorithms I : Algorithms and Data Structures
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Torrent File Content (62 files)

Design and Analysis of Algorithms I
III. DIVIDE & CONQUER ALGORITHMS (Week 1)
4 O(n log n) Algorithm for Closest Pair I [Advanced - Optional] (32 min).webm -

23.76 MB

X. GRAPH SEARCH AND CONNECTIVITY (Week 4)
7 Computing Strong Components- The Algorithm (29 min).webm -

22.21 MB

IX. GRAPHS AND THE CONTRACTION ALGORITHM (Week 3)
4 Analysis of Contraction Algorithm (30 min).webm -

22.2 MB

XI. DIJKSTRA'S SHORTEST-PATH ALGORITHM (Week 5)
4 Dijkstra's Algorithm- Implementation and Running Time (26 min).webm -

20.3 MB

XII. DATA STRUCTURES (Week 5)
8 Universal Hashing- The Mathematics, Part I [Optional] (27 min).webm -

19.03 MB

X. GRAPH SEARCH AND CONNECTIVITY (Week 4)
8 Computing Strong Components- The Analysis (26 min).webm -

18.94 MB

VII. PROBABILITY REVIEW (Weeks 2-3)
1 Part I [Review - Optional] (25 min).webm -

18.81 MB

V. QUICKSORT - ALGORITHM (Week 2)
2 Partitioning Around a Pivot (25 min).webm -

17.9 MB

XII. DATA STRUCTURES (Week 5)
6 Hash Tables- Implementation Details, Part I (19 min).webm -

16.78 MB

7 Universal Hashing- Motivation [Optional] (22 min).webm -

16.7 MB

X. GRAPH SEARCH AND CONNECTIVITY (Week 4)
1 Graph Search - Overview (23 min).webm -

16.42 MB

VIII. LINEAR-TIME SELECTION (Week 3)
1 Randomized Selection - Algorithm (22 min).webm -

16.34 MB

4 Deterministic Selection - Analysis I [Advanced - Optional] (22 min).webm -

16.32 MB

III. DIVIDE & CONQUER ALGORITHMS (Week 1)
3 Strassen's Subcubic Matrix Multiplication Algorithm (22 min).webm -

16.18 MB

XII. DATA STRUCTURES (Week 5)
3 Heaps- Implementation Details [Advanced - Optional] (21 min).webm -

15.84 MB

VI. QUICKSORT - ANALYSIS (Week 2)
1 Analysis I- A Decomposition Principle [Advanced - Optional] (22 min).webm -

15.79 MB

V. QUICKSORT - ALGORITHM (Week 2)
4 Choosing a Good Pivot (22min).webm -

15.72 MB

X. GRAPH SEARCH AND CONNECTIVITY (Week 4)
6 Topological Sort (22 min).webm -

15.57 MB

XI. DIJKSTRA'S SHORTEST-PATH ALGORITHM (Week 5)
1 Dijkstra's Shortest-Path Algorithm (21 min).webm -

15.11 MB

XII. DATA STRUCTURES (Week 5)
4 Hash Tables- Operations and Applications (19 min).webm -

14.94 MB

III. DIVIDE & CONQUER ALGORITHMS (Week 1)
5 O(n log n) Algorithm for Closest Pair II [Advanced - Optional] (19 min).webm -

14.92 MB

2 O(n log n) Algorithm for Counting Inversions II (17 min).webm -

14.41 MB

VIII. LINEAR-TIME SELECTION (Week 3)
2 Randomized Selection - Analysis (21 min).webm -

14.33 MB

XI. DIJKSTRA'S SHORTEST-PATH ALGORITHM (Week 5)
3 Correctness of Dijkstra's Algorithm [Advanced - Optional] (19 min).webm -

14.21 MB

XII. DATA STRUCTURES (Week 5)
5 Hash Tables- Implementation Details, Part I (19 min).webm -

13.86 MB

I. INTRODUCTION (Week 1)
6 Guiding Principles for Analysis of Algorithms (15 min).webm -

13.79 MB

1 Introduction Why Study Algorithms (19 min).webm -

13.77 MB

XII. DATA STRUCTURES (Week 5)
2 Heaps- Operations and Applications (18 min).webm -

13.64 MB

X. GRAPH SEARCH AND CONNECTIVITY (Week 4)
9 Structure of the Web [Optional] (19 min).webm -

13.4 MB

VIII. LINEAR-TIME SELECTION (Week 3)
3 Deterministic Selection - Algorithm [Advanced - Optional] (17 min).webm -

13.38 MB

I. INTRODUCTION (Week 1)
4 Merge Sort Pseudocode (13 min).webm -

13.36 MB

VII. PROBABILITY REVIEW (Weeks 2-3)
2 Part II [Review - Optional] (17 min).webm -

12.88 MB

IV. THE MASTER METHOD (Week 2)
6 Proof II (16 min).webm -

12.38 MB

I. INTRODUCTION (Week 1)
2 About the Course (17 min).webm -

12.07 MB

IX. GRAPHS AND THE CONTRACTION ALGORITHM (Week 3)
1 Graphs and Minimum Cuts (16 min).webm -

11.44 MB

X. GRAPH SEARCH AND CONNECTIVITY (Week 4)
4 BFS and Undirected Connectivity (13 min).webm -

10.59 MB

IX. GRAPHS AND THE CONTRACTION ALGORITHM (Week 3)
2 Graph Representations (14 min).webm -

10.54 MB

IV. THE MASTER METHOD (Week 2)
3 Examples (13 min).webm -

10.44 MB

X. GRAPH SEARCH AND CONNECTIVITY (Week 4)
2 Breadth-First Search (BFS)- The Basics (14 min).webm -

10.43 MB

I. INTRODUCTION (Week 1)
5 Merge Sort Analysis (9 min).webm -

10.25 MB

IV. THE MASTER METHOD (Week 2)
5 Interpretation of the 3 Cases (11 min).webm -

10.11 MB

III. DIVIDE & CONQUER ALGORITHMS (Week 1)
1 O(n log n) Algorithm for Counting Inversions I (13 min).webm -

10 MB

VIII. LINEAR-TIME SELECTION (Week 3)
6 Omega(n log n) Lower Bound for Comparison-Based Sorting [Advanced - Optional] (13 min).webm -

9.8 MB

5 Deterministic Selection - Analysis II [Advanced - Optional] (13 min).webm -

9.54 MB

IV. THE MASTER METHOD (Week 2)
4 Proof I (10 min).webm -

9.34 MB

XI. DIJKSTRA'S SHORTEST-PATH ALGORITHM (Week 5)
2 Dijkstra's Algorithm- Examples (13 min).webm -

9.15 MB

I. INTRODUCTION (Week 1)
3 Merge Sort Motivation and Example (9 min).webm -

8.96 MB

V. QUICKSORT - ALGORITHM (Week 2)
3 Correctness of Quicksort [Review - Optional] (11 min).webm -

8.95 MB

IV. THE MASTER METHOD (Week 2)
2 Formal Statement (10 min).webm -

8.95 MB

VI. QUICKSORT - ANALYSIS (Week 2)
2 Analysis II- The Key Insight [Advanced - Optional] (12min).webm -

8.58 MB

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Coursera Stanford University - Design and Analysis of Algorithms I : Algorithms and Data Structures

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