Dynamic Programming

Dynamic programming is a method for solving complex problems by breaking them down into simpler subproblems and solving each subproblem only once, storing the results in a table or cache to avoid redundant computations. It is widely used in algorithm design and optimization for solving problems with overlapping substructures and optimal substructure properties. Readers can explore dynamic programming techniques, such as memoization and tabulation, for solving problems in various domains, such as optimization, sequence alignment, and graph algorithms, understanding its efficiency and effectiveness in solving problems with optimal solutions and recursive structures.