algorithm design paradigms

Algorithm design paradigms are fundamental approaches to solving problems systematically. They include techniques like divide and conquer (breaking a problem into smaller parts), dynamic programming (solving problems by building up solutions to subproblems), greedy algorithms (making the best choice at each step), and backtracking (exploring options and undoing choices if needed). These paradigms provide structured methods to create efficient algorithms, helping programmers solve complex problems effectively by guiding how to think about and approach them.