Complex problems can be solved using dynamic programming. This is used by numerous algorithms to tackle a variety of problems.
Some of the common algorithms that use the dynamic programming technique include:
Fibonacci series calculation
Longest common subsequence problem
Shortest path problem (Dijkstra's algorithm)
Matrix chain multiplication problem
Coin change problem
Unlock the full potential of Dynamic Programming and improve your problem-solving approach with this comprehensive tutorial video -