LeetCode Weekly Contest 504 - Q2: Maximum Number of Items From Sale I | DP + Knapsack Intuition

🚀 In this video, we solve **Q2 of LeetCode Weekly Contest 504 – Maximum Number of Items From Sale I**. At first glance, this problem looks like a straightforward shopping optimization question, but there's an interesting twist involving *factor relationships between items* that affects the total value gained from each purchase. 💡 What you'll learn: How to identify the contribution of each item Preprocessing factor-based relationships efficiently Converting the problem into a *0/1 Knapsack DP* How to maximize the number of items within a given budget Using leftover budget optimally to improve the final answer Step-by-step walkthrough of the complete solution 🧠 Key Insight: Each item contributes more than just itself. By precomputing its impact on other items, we can transform the problem into a classic dynamic programming optimization. We also discuss: DP State Definition Transition Logic Time Complexity Analysis Space Complexity Analysis Common mistakes and edge cases This is a great contest problem for practicing: Dynamic Programming Knapsack Patterns Optimization Techniques Contest Problem Solving 🔥 Subscribe for more LeetCode contest editorials, interview preparation, DSA explanations, and competitive programming content. #LeetCode #LeetCodeContest #WeeklyContest504 #DynamicProgramming #Knapsack #DP #Algorithms #CodingInterview #CompetitiveProgramming #ProblemSolving