knapsack problem (Greedy Method)

Fractional Knapsack using Greedy Method | Algorithm & Explanation In this video, we explore the Fractional Knapsack Problem using the Greedy Algorithm approach. The Fractional Knapsack problem allows items to be divided, meaning we can take fractional parts of items to maximize total value. 🔹 Key Topics Covered: ✔️ Introduction to Knapsack Problem ✔️ Difference Between 0/1 Knapsack & Fractional Knapsack ✔️ Greedy Strategy for Fractional Knapsack ✔️ Step-by-Step Explanation with Example ✔️ Time Complexity Analysis 📌 Algorithm Approach: 1️⃣ Calculate the value-to-weight ratio for each item. 2️⃣ Sort items in descending order of this ratio. 3️⃣ Pick items with the highest ratio first, filling the knapsack. 4️⃣ If an item cannot be fully included, take a fractional part of it. ⭐ Time Complexity: O(n log n) (due to sorting) 📢 Subscribe for more algorithm tutorials! 👍 Like, Share & Comment your doubts! #KnapsackProblem #GreedyAlgorithm #FractionalKnapsack #Algorithm #DataStructures #CompetitiveProgramming