Dynamic Programming Explained - Practical Examples

Explore dynamic programming through practical examples in this comprehensive 29-minute video tutorial. Learn the definition and theory behind dynamic programming, and discover how to identify problems suitable for this approach. Dive into detailed explanations of the Fibonacci sequence and minimum sum subarray problems, examining both trivial and optimized solutions. Gain valuable insights into problem-solving techniques and algorithm optimization as you follow along with clear explanations and step-by-step demonstrations. By the end of the tutorial, you'll have a solid understanding of dynamic programming concepts and how to apply them to real-world coding challenges.

| Overview
| Dynamic Programming Definition
| Fibonacci Sequence - Problem
| Fibonacci Sequence - Trivial Solution
| Fibonacci Sequence - Optimal Solution
| Minimum Sum Subarray - Problem
| Minimum Sum Subarray - Trivial Solution
| Minimum Sum Subarray - Optimal Solutions