Challenge 2: The Knapsack Problem
Explore how to solve the knapsack problem by selecting items within a capacity limit to maximize profit. Learn to implement a top-down dynamic programming solution using memoization to improve efficiency and handle complex cases.
We'll cover the following...
We'll cover the following...
A thief has broken into a house; the house has many valuable goods but unfortunately, the thief only brought a knapsack with a limited capacity. Every good in the house has a value in dollars and weight in kilograms associated with it. The thief wants to maximize the utility of his trip and take back the goods that fit his knapsack and earn him the highest possible money. ...