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A python implementation of the Knapsack problem using dynamic programming.
knapsack_algorithm is a Python package that provides a simple and efficient solution for the 0/1 knapsack problem.
You can install KnapsackAlgorithm using pip:
pip install knapsack_algorithm
Here's an example of how you can use knapsack_algorithm:
from knapsack_algorithm import knapsack
For detailed documentation and additional options, refer to the official documentation.
This project is licensed under the MIT License - see the LICENSE file for details.
If you would like to contribute or report issues, please check our contribution guidelines.
values = [60, 100, 120] # The values of the items
weights = [10, 20, 30] # The weights of the items
capacity = 50 # The maximum capacity
result = knapsack(values, weights, capacity)
if result is not None:
print("Maximum value in the knapsack:", result)
FAQs
A python implementation of the Knapsack problem using dynamic programming.
We found that knapsack-algorithm demonstrated a healthy version release cadence and project activity because the last version was released less than a year ago. It has 1 open source maintainer collaborating on the project.
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Socket now supports Scala and Kotlin, bringing AI-powered threat detection to JVM projects with easy manifest generation and fast, accurate scans.
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