Dynamic Programming Example Solution — Knapsack Problem Solved Step by Step

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Lecture Link

In this video, we solve the 0/1 Knapsack Problem step by step using Dynamic Programming.

We cover two essential parts of the solution:
1️⃣ Building the DP table — to find the maximum profit achievable without exceeding the knapsack’s capacity.
2️⃣ Backtracking the table — to trace which items were actually chosen to reach that maximum profit.

By the end of the lecture, you’ll not only know the optimal profit but also exactly which items to select, making this one of the clearest walkthroughs of the knapsack problem you’ll find.

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