Скачать или смотреть Knapsack beginner python

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The Knapsack Problem is a classic optimization problem where the goal is to select items from a set, each with a weight and a value, in such a way that the total weight does not exceed a given limit, and the total value is maximized. This problem has various applications, such as resource allocation, project selection, and financial portfolio management.
In this tutorial, we'll cover the basics of the 0/1 Knapsack Problem and implement a simple solution in Python.
Let's consider the following set of items:
Knapsack capacity (W) = 5
We'll use a dynamic programming approach to solve the 0/1 Knapsack Problem. The key idea is to build a table to store intermediate results and use it to calculate the optimal solution.
This Python code defines a function knapsack_01 that takes the values, weights, and knapsack capacity as input and returns the maximum value and the indices of selected items. The function uses dynamic programming to fill a table and then backtracks to find the selected items.
The 0/1 Knapsack Problem is a classic optimization problem, and the dynamic programming approach provides an efficient solution. This tutorial covered the basic concepts and provided a Python implementation. Feel free to modify and experiment with the code to understand the intricacies of the Knapsack Problem further.
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