Dynamic Programming

Dynamic Programming is a pretty powerful paradigm of solving problems. Given a problem, which can be broken down into smaller sub-problems, and these smaller sub-problems can still be broken into smaller ones - and if one manages to find out that there are some overlapping sub-problems, then its a DP problem. The problem is needed to break up into a series of overlapping sub-problems, and build up solutions to larger and larger sub-problems. The core idea of Dynamic Programming is to avoid repeated work by remembering partial results and this concept finds it application in a lot of real life situations.

In programming, Dynamic Programming is a powerful technique that allows one to solve different types of problems in time O(n2) or O(n3) for which a naive approach would take exponential time.
The following computer problems can be solved using dynamic programming approach −

  • Fibonacci number series
  • Knapsack problem
  • Tower of Hanoi
  • All pair shortest path by Floyd-Warshall
  • Shortest path by Dijkstra
  • Project scheduling

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