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Премиум
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    Course Introduction
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    Introduction to Algorithms
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    Section Introduction
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    Complexity Analysis 1
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    Complexity Analysis 2
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    Section Summary
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    Section Introduction
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    Recurrence Relation
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    Solving Recurrence Relation
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    Master's Theorem
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    Section Summary
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    Section Introduction
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    Recursion
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    Identification
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    Approaching
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    Problem 01 : FindingSubsequences - Logic
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    Problem 01 : FindingSubsequences - Live Code Java
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    Problem 01 : FindingSubsequences - Complexity Analysis
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    Problem 02: Tower of Hanoi - Logic
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    Problem 02 : Tower of Hanoi - Live Code Java
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    Problem 02 : Tower of Hanoi - Complexity Analysis
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    Problem 03 : 7.Array Product Sum - Logic
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    Problem 03 : 7.Array Product Sum - Live Code Java
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    Problem 03 : Array Product Sum - Complexity Analysis
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    Problem 04 : Binary Subtree - Logic
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    Problem 04 : Binary Subtree - Live Code Java
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    Problem 04 : Binary Subtree - Complexity Analysis
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    Why and Why not Recursion
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    Types Of Recursion
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    Tail Recursion
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    Section Summary
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    Section Introduction
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    Introduction to Backtracking
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    Identify Backtracking
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    Approching the Solution
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    Problem 01 : Rat In Maze - Logic
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    Problem 01 : Rat In Maze - Code
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    Problem 01 : Rat In Maze - Complexity Analysis
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    Problem 02 : NQueen - Logic
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    Problem 02 : NQueen - Live Code in Java
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    Problem 02 : NQueen - Complexity Analysis
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    Problem 03 : Knights Tour Problem - Logic
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    Problem 03 : Knights Tour Problem - Live Code in Java
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    Problem 03 : Knight Tour Problem - Complexity Analysis
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    Problem 04 : Boggle | Word Search - Logic
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    Problem 04 : Boggle | Word Search - Live Code in Java
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    Problem 04 : Boggle | Word Search - Complexity Analysis
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    Section Summary
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    Section Introduction
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    Introduction To Divide And Conquer
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    Identification and Approaching
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    Problem 01 : MergeSort - Logic
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    Problem 01 : MergeSort - Live Java Code
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    Problem 01 : MergeSort - Complexity Analysis
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    Problem 02 : QuickSort - Logic
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    Problem 02 : QuickSort - Live Java Code
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    Problem 02 : QuickSort - Complexity Analysis
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    Problem 03 : Median Of Medians - Logic
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    Problem 03 : Median Of Medians - Live Java Code
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    Section Summary
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    Section Introduction
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    Introduction to Greedy
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    Identification & Approaching the Solution
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    Problem 01 : Fractional Knapsack - Logic
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    Problem 01 : Fractional Knapsack - Live Code Java
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    Problem 01 : Fractional Knapsack - Complexity Analysis
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    Problem 02 : IntervalScheduling - Logic
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    Problem 02 : IntervalScheduling - Live Code Java
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    Problem 02 : IntervalScheduling - Complexity Analysis
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    Problem 03 : Huffman Code - Logic
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    Problem 03 : Huffman Code - Live Code Java
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    Problem 03 : Huffman Code - Complexity Analysis
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    Problem 04 : Dijkstra - Logic
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    Problem 04 : Dijkstra Logic - Live Code
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    Problem 04 : Dijkstra - Complexity Analysis
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    Summary
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    Section Introduction
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    Introduction to Dynamic Programming
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    Identification
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    Compare DP D&C and Greedy
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    Approaching the Solution
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    Example 01 : Staircase Problem Theory & Live Code
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    Example 01 : Staircase Problem Complexity Analysis
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    Example 02 - 0/1 Knapsack Theory & Live code
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    Example 02 - 0/1 Knapsack Complexity Analysis
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    Example 03 - Coin Change Problem Theory and Code
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    Example 03 - Coin Change Problem Complexity Analysis
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    Example 04 : Longest Decreasing Subsequence Explanation And Code
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    Example 04 : Longest Decreasing Subsequence | Complexity Analysis
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    Example 05 : Levenshtein problem
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    Example 05 : Levenshtein Complexity Analysis
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    Example 06 : Rod Cutting
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    Example 06 : Rod Cutting - Complexity Analysis
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    Example 07 : Matrix Chain Multiplication
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    Example 07 : Matrix Chain Multiplication | Complexity Analysis
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    Summary
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    Kadane's Algo
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    Kadane's Algo Live Code Java
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    Kadane's Algo Complexity Analysis
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    BellmanFord's Algo
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    BellmanFord's Algo Live Code Java
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    BellmanFord's Algo Complexity Analysis
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    Topological Sort : Kahn's Algo
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    Topological Sort Live Code Java
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    Topological Sort Complexity Analysis
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    Edmond's Karp/Ford-Fulkerson Algorithm
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    Ford-Fulkerson Algorithm - Edmond's Karp Implementation
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    Tree Overview
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    Identification
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    Approaching Tree Problems
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    Problem 1: Sum Tree - Logic
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    Problem 1: Sum Tree - Live Code
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    Problem 2: Invert Binary Tree - Logic
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    Problem 2: Invert Binary Tree - Live Code
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    Problem 3: Binary Search Tree - Logic
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    Problem 3: Binary Search Tree - Live Code
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    Problem 4: Binary Tree from InOrder & LevelOrder - Logic
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    Problem 4: Binary Tree from InOrder & LevelOrder - Live Code
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    Graphs - In Real World
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    Graphs - Overview
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    Identification of Problem
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    Approaching the Problem
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    Mind-Map
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    Type - Graph Traversal
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    Depth First Search Traversal
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    DFS - Implementation (Recursive)
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    DFS - Implementation (Iterative)
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    Breadth First Search Traversal
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    BFS - Implementation
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    Type - Minimum Spanning Tree
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    Prim's Algorithm
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    Prim's Algorithm - Implementation
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    Kruskal's Algorithm
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    Union-Find Algorithm
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    Kruskal's Algorithm - Implementation
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    Type - Shortest Path
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    Dijkstra's Algorithm
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    Dijkstra's Algorithm - Implementation
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    BellmanFord's Algo
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    BellmanFord's Algo Live Code
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    Floyd Warshall Algorithm
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    Floyd-Warshall Algorithm - Implementation
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    Johnson's Algorithm
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    Johnson's Algorithm - Implementation
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    Type - Network Flow
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    Ford-Fulkerson Algorithm
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    Ford-Fulkerson Algorithm - Edmond's Karp Implementation
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    Max-Flow Min-Cut Theorem
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    Type - Strongly Connected Components
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    Tarjan's Algorithm
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    Tarjan's Algorithm - Implementation
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    Kosaraju's Algorithm
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    Kosaraju's Algorithm - Implementation
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    Section Introduction
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    Single Dimension Arrays
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    Multi Dimension Arrays
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    Declaration , Initialisation & Creation
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    Playing With Arrays Syntax Java
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    Traversing Arrays,Length of Array Java
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    Types of Array - based on elements it holds
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    Reassigning Array Objects to Array References
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    Anonymous Arrays
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    Arrays-Summay