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
Knapsack problem
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 -