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    Coursera: Algorithms - Princeton University (Part I + Part II)

    Posted By: ParRus
    Coursera: Algorithms - Princeton University (Part I + Part II)

    Coursera: Algorithms - Princeton University
    WEBRip | English | MP4 + PDF Guides + Excercises files | 960 x 540 | AVC ~76.2 kbps | 29.970 fps
    AAC | 128 Kbps | 44.1 KHz | 2 channels | 28:38:37 | 2.78 GB
    Genre: eLearning Video / Computer Science, Development, Programming

    This course covers the essential information that every serious programmer needs to know about algorithms and data structures, with emphasis on applications and scientific performance analysis of Java implementations. An introduction to fundamental data types, algorithms, and data structures, with emphasis on applications and scientific performance analysis of Java implementations. Specific topics covered include: union-find algorithms; basic iterable data types (stack, queues, and bags); sorting algorithms (quicksort, mergesort, heapsort) and applications; priority queues; binary search trees; red-black trees; hash tables; and symbol-table applications.
    Part I covers basic iterable data types, sorting, and searching algorithms.
    Part II covers graph-processing algorithms, including minimum spanning tree and shortest paths algorithms, and string processing algorithms, including string sorts, tries, substring search, regular expressions, and data compression, and concludes with an overview placing the contents of the course in a larger context.


    Content:

    Part 1:
    01 - Course Introduction.mp4
    02 - Union-Find - Dynamic Connectivity.mp4
    03 - Union-Find - Quick Find.mp4
    04 - Union-Find - Quick Union.mp4
    05 - Union-Find - Quick-Union Improvements.mp4
    06 - Union-Find - Applications.mp4
    07 - Analysis of Algorithms - Introduction.mp4
    08 - Analysis of Algorithms - Observations.mp4
    09 - Analysis of Algorithms - Mathematical Models.mp4
    10 - Analysis of Algorithms - Order-of-Growth Classifications.mp4
    11 - Analysis of Algorithms - Theory of Algorithms.mp4
    12 - Analysis of Algorithms - Memory.mp4
    13 - Bags, Queues, And Stacks - Stacks.mp4
    14 - Bags, Queues, And Stacks - Resizing Arrays.mp4
    15 - Bags, Queues, And Stacks - Queues.mp4
    16 - Bags, Queues, And Stacks - Generics.mp4
    17 - Bags, Queues, And Stacks - Iterators.mp4
    18 - Bags, Queues, And Stacks - Applications.mp4
    19 - Elementary Sorts - Rules of the Game.mp4
    20 - Elementary Sorts - Selection Sort.mp4
    21 - Elementary Sorts - Insertion Sort.mp4
    22 - Elementary Sorts - Shellsort.mp4
    23 - Elementary Sorts - Shuffling.mp4
    24 - Elementary Sorts - Convex Hull.mp4
    25 - Mergesort - Mergesort.mp4
    26 - Mergesort - Bottom-up Mergesort.mp4
    27 - Mergesort - Sorting Complexity.mp4
    28 - Mergesort - Comparators.mp4
    29 - Mergesort - Stability.mp4
    30 - Quicksort - Quicksort.mp4
    31 - Quicksort - Selection.mp4
    32 - Quicksort - Duplicate Keys.mp4
    33 - Quicksort - System Sorts.mp4
    34 - Priority Queues - APIs and Elementary Implementations.mp4
    35 - Priority Queues - Binary Heaps.mp4
    36 - Priority Queues - Heapsort.mp4
    37 - Priority Queues - Event-Driven Simulation.mp4
    38 - Symbol Tables - API.mp4
    39 - Symbol Tables - Elementary Implementations.mp4
    40 - Symbol Tables - Ordered Operations.mp4
    41 - Binary Search Trees - BSTs.mp4
    42 - Binary Search Trees - Ordered Operations.mp4
    43 - Binary Search Trees - Deletion.mp4
    44 - Balanced Search Trees - 2-3 Search Trees.mp4
    45 - Balanced Search Trees - Red-Black BSTs.mp4
    46 - Balanced Search Trees - B-Trees.mp4
    47 - Hash Tables - Hash Functions.mp4
    48 - Hash Tables - Separate Chaining.mp4
    49 - Hash Tables - Linear Probing.mp4
    50 - Hash Tables - Context.mp4
    51 - Geometric Applications of BSTs - 1d Range Search.mp4
    52 - Geometric Applications of BSTs - Line Segment Intersection.mp4
    53 - Geometric Applications of BSTs - Kd-Trees.mp4
    54 - Geometric Applications of BSTs - Interval Search Trees.mp4
    55 - Geometric Applications of BSTs - Rectangle Intersection.mp4
    56 - Symbol Table Applications - Sets.mp4
    57 - Symbol Table Applications - Dictionary Clients.mp4
    58 - Symbol Table Applications - Indexing Clients.mp4
    59 - Symbol Table Applications - Sparse Vectors.mp4

    Part 2:
    01 - Undirected Graphs - Introduction.mp4
    02 - Undirected Graphs - Graph API.mp4
    03 - Undirected Graphs - Depth-First Search.mp4
    04 - Undirected Graphs - Breadth-First Search.mp4
    05 - Undirected Graphs - Connected Components.mp4
    06 - Undirected Graphs - Challenges.mp4
    07 - Directed Graphs - Introduction.mp4
    08 - Directed Graphs - Digraph API.mp4
    09 - Directed Graphs - Digraph Search.mp4
    10 - Directed Graphs - Topological Sort.mp4
    11 - Directed Graphs - Strong Components.mp4
    12 - Minimum Spanning Trees - Introduction.mp4
    13 - Minimum Spanning Trees - Greedy Algorithm.mp4
    14 - Minimum Spanning Trees - Edge-Weighted Graph API.mp4
    15 - Minimum Spanning Trees - Kruskal's Algorithm.mp4
    16 - Minimum Spanning Trees - Prim's Algorithm.mp4
    17 - Minimum Spanning Trees - Context.mp4
    18 - Shortest Paths - APIs.mp4
    19 - Shortest Paths - Shortest Paths Properties.mp4
    20 - Shortest Paths - Dijkstra's Algorithm.mp4
    21 - Shortest Paths - Edge-Weighted DAGs.mp4
    22 - Shortest Paths - Negative Weights.mp4
    23 - Maximum Flow - Introduction.mp4
    24 - Maximum Flow - Ford-Fulkerson Algorithm.mp4
    25 - Maximum Flow - Maxflow-Mincut Theorem.mp4
    26 - Maximum Flow - Running Time Analysis.mp4
    27 - Maximum Flow - Java Implementation.mp4
    28 - Maximum Flow - Applications.mp4
    29 - String Sorts - Strings in Java.mp4
    30 - String Sorts - Key Indexed Counting.mp4
    31 - String Sorts - LSD Radix Sort.mp4
    32 - String Sorts - MSD Radix Sort.mp4
    33 - String Sorts - 3-Way Radix Quicksort.mp4
    34 - String Sorts - Suffix Arrays.mp4
    35 - Tries - R-Way Tries.mp4
    36 - Tries - Ternary Search Tries.mp4
    37 - Tries - Ternary Search Tries - 2.mp4
    38 - Tries - Character-Based Operations.mp4
    39 - Substring Search - Introduction.mp4
    40 - Substring Search - Brute Force.mp4
    41 - Substring Search - Knuth-Morris-Pratt.mp4
    42 - Substring Search - Boyer-Moore.mp4
    43 - Substring Search - Rabin-Karp.mp4
    44 - Regular Expressions - Regular Expressions.mp4
    45 - Regular Expressions - NFAs.mp4
    46 - Regular Expressions - NFA Simulation.mp4
    47 - Regular Expressions - NFA Construction.mp4
    48 - Regular Expressions - Applications.mp4
    49 - Data Compression - Introduction.mp4
    50 - Data Compression - Run-Length Coding.mp4
    51 - Data Compression - Huffman Compression.mp4
    52 - Data Compression - LZW Compression.mp4
    53 - Reductions - Introduction.mp4
    54 - Reductions - Designing Algorithms.mp4
    55 - Reductions - Establishing Lower Bonds.mp4
    56 - Reductions - Classifying Problems.mp4
    57 - Linear Programming - Brewer's Problem.mp4
    58 - Linear Programming - Simplex Algorithm.mp4
    59 - Linear Programming - Implementations.mp4
    60 - Linear Programming - Reductions.mp4
    61 - Intractability - Introduction.mp4
    62 - Intractability - Search Problems.mp4
    63 - Intractability - P vs. NP.mp4
    64 - Intractability - Classifying Problems.mp4
    65 - Intractability - NP-Completeness.mp4
    66 - Intractability - Coping with Intractability.mp4

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    General
    Complete name : 24 - Elementary Sorts - Convex Hull.mp4
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    Screenshots

    Coursera: Algorithms - Princeton University (Part I + Part II)

    Coursera: Algorithms - Princeton University (Part I + Part II)

    Coursera: Algorithms - Princeton University (Part I + Part II)

    Coursera: Algorithms - Princeton University (Part I + Part II)

    Coursera: Algorithms - Princeton University (Part I + Part II)

    Coursera: Algorithms - Princeton University (Part I + Part II)

    Coursera: Algorithms - Princeton University (Part I + Part II)

    Coursera: Algorithms - Princeton University (Part I + Part II)

    Coursera: Algorithms - Princeton University (Part I + Part II)

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    Coursera: Algorithms - Princeton University (Part I + Part II)