Links -> Link Details

Title	Difference Between Greedy and Dynamic Programming – Easy Guide for Students
URL	https://llri.in/difference-between-greedy-and-dynamic-programming/
Category	Education --> Teaching
Meta Keywords	difference between greedy and dynamic programming, greedy algorithm examples, dynamic programming examples, greedy vs dynamic programming, coding interview algorithms, algorithm basics for students, problem solving in computer science, llri courses
Meta Description	Learn the difference between greedy and dynamic programming with examples. Understand where each method works best for coding, exams, and interviews.
Owner	Raosaheb
Description
When learning algorithms, many students get confused about the difference between greedy and dynamic programming. Both are popular methods to solve optimization problems, but they work in very different ways. A greedy algorithm makes decisions step by step. At every stage, it picks the option that looks best at that moment. For example, if you need to give change of ₹18, the greedy approach will pick ₹10, then ₹5, then ₹2, then ₹1. It works well when the problem supports greedy choice, but sometimes it may fail. In contrast, dynamic programming (DP) looks at the entire problem. It breaks it into smaller parts and stores results to avoid repeated work. A classic example is calculating the Fibonacci sequence using DP, which saves a lot of time compared to simple recursion. The key difference is: Greedy is faster but does not always give the correct solution. DP takes more time and memory but guarantees the right result. Students preparing for coding interviews, competitive exams, or real-world projects must understand when to use greedy and when to use DP. At LLRI , we train students in such problem-solving methods in a simple and practical way. To dive deeper, read our full blog here: Difference Between Greedy and Dynamic Programming . This knowledge builds strong programming foundations and helps in both academics and jobs.