Applications of dynamic programming. 1.0/1 knapsack problem. 2.Mathematical optimization problem. 3.All pair Shortest path problem. 4.Reliability design problem. 5.Longest common subsequence (LCS) ...

this project demonstrates two well-known algorithms: the knapsack problem (brute force and dynamic programming) and graph coloring (using a greedy algorithm). both algorithms are visualized through a ...

Learn how to use Python or R for dynamic programming, a technique for solving complex problems with overlapping subproblems and optimal substructure. Agree & Join LinkedIn ...

Graph algorithms are integral for solving complex programming challenges. They provide methods for handling data relationships through graphs, which are essential in fields like network analysis, ...