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Dynamic Programming

Algorithms Optimization

Dynamic Programming is a powerful algorithmic technique for solving optimization problems by breaking them down into smaller subproblems and storing the results to avoid redundant calculations.

Content Coming Soon

This comprehensive guide on dynamic programming will cover:

Topics to be covered:

  • Fibonacci sequence and memoization
  • Longest increasing subsequence
  • 0/1 Knapsack problem
  • Edit distance and string algorithms
  • Coin change variations
  • Matrix chain multiplication
  • Top-down vs Bottom-up approaches

CodeForces Challenge Problems

Practice dynamic programming with these problems:

Medium

Fibonacci Numbers

Practice basic DP concepts with the classic Fibonacci problem.

DP Memoization
Solve Problem
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