**Develop a Dynamic Programing Algorithm **

These algorithms can be used to simplify complex problem solvers by breaking them into smaller and simpler problems. The following steps explain the process of developing a dynamic programming algorithm: 1. Identifying the problem: First, identify the problem. Next, formulate an objective function. This is an expression that helps to evaluate the problem’s goal. 2. Reduce the problem to smaller problems. Every solution should be stored. 3. Calculate the optimal solution. You can do this using top-down or bottom up approaches. Both involve solving sub-problems either recursively, or iteratively. 4. Enhance the algorithm by using different techniques like memoization, tabulation and iterative improvement. 5. You can test the algorithm by testing it on different inputs. This will ensure the output code is accurate and efficient. 6. The algorithm must be implemented: Once the algorithm is developed, it should then be applied and deployed in order to achieve the output desired. The development of dynamic programming algorithms can be made easy by following these steps. Dynamic programming is also useful for developing more efficient algorithms to solve computer science problems. (Erickson, 2015; Sah et al., 2021). References: Erickson, J., 2015. Algorithms: A Goal-Oriented Approach. Coursera. Sah K. Singh S. Guha U.K., and Ma H.K. in 2021. Dynamic programming techniques for software engineering. International Journal of Advanced Computer Science and Applications 12(1), pp. 44-48.

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