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    Mastering Dynamic Programming

    Original price was: ₹49,000.00.Current price is: ₹41,000.00.

    This course is designed to help you understand Dynamic Programming (DP) from the basics and gradually move toward solving complex algorithmic problems. You will learn how to identify problems that can be solved using DP, break them into smaller subproblems, and build efficient solutions using memoization, tabulation, and optimized approaches.

    The course covers commonly used DP patterns and problem-solving techniques through practical examples. You will also learn how to analyze time and space complexity and improve brute-force solutions into efficient algorithms.

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    Description

    • Understand the fundamentals and core concepts of Dynamic Programming.
    • Identify when a problem can be solved using DP.
    • Understand overlapping subproblems and optimal substructure.
    • Convert recursive solutions into efficient DP solutions.
    • Use Memoization (Top-Down DP) effectively.
    • Use Tabulation (Bottom-Up DP) to build iterative solutions.
    • Understand and optimize time and space complexity.
    • Solve classic problems such as:
      • Fibonacci and Climbing Stairs
      • 0/1 Knapsack
      • Coin Change
      • House Robber
      • Longest Common Subsequence
      • Longest Increasing Subsequence
      • Edit Distance
      • Matrix Chain Multiplication
      • Grid and Path-based DP problems
    • Learn 1D, 2D, and multi-dimensional DP techniques.
    • Understand String DP and sequence-based problems.
    • Work with Subsequence and Subset DP patterns.
    • Learn Interval and Partition DP techniques.
    • Understand State-based Dynamic Programming.
    • Optimize DP solutions using space optimization techniques.
    • Develop a systematic approach to recognizing DP patterns.
    • Practice solving interview-level Dynamic Programming problems.
    • Build the confidence to approach unfamiliar DP problems step by step

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