Python/knapsack
Tobias Schröder 802ac83c3d
Add a naive recursive implementation of 0-1 Knapsack Problem (#2743)
* Add naive recursive implementation of 0-1 Knapsack problem

* Fix shadowing

* Add doctest

* Fix type hints

* Add link to wiki

* Blacked the file

* Fix isort

* Move knapsack / add readme and more tests

* Add missed main in tests
2020-10-19 09:07:18 +08:00
..
__init__.py Add a naive recursive implementation of 0-1 Knapsack Problem (#2743) 2020-10-19 09:07:18 +08:00
knapsack.py Add a naive recursive implementation of 0-1 Knapsack Problem (#2743) 2020-10-19 09:07:18 +08:00
README.md Add a naive recursive implementation of 0-1 Knapsack Problem (#2743) 2020-10-19 09:07:18 +08:00
test_knapsack.py Add a naive recursive implementation of 0-1 Knapsack Problem (#2743) 2020-10-19 09:07:18 +08:00

A naive recursive implementation of 0-1 Knapsack Problem

This overview is taken from:

https://en.wikipedia.org/wiki/Knapsack_problem

Overview

The knapsack problem is a problem in combinatorial optimization: Given a set of items, each with a weight and a value, determine the number of each item to include in a collection so that the total weight is less than or equal to a given limit and the total value is as large as possible. It derives its name from the problem faced by someone who is constrained by a fixed-size knapsack and must fill it with the most valuable items. The problem often arises in resource allocation where the decision makers have to choose from a set of non-divisible projects or tasks under a fixed budget or time constraint, respectively.

The knapsack problem has been studied for more than a century, with early works dating as far back as 1897 The name "knapsack problem" dates back to the early works of mathematician Tobias Dantzig (18841956), and refers to the commonplace problem of packing the most valuable or useful items without overloading the luggage.


Documentation

This module uses docstrings to enable the use of Python's in-built help(...) function. For instance, try help(Vector), help(unitBasisVector), and help(CLASSNAME.METHODNAME).


Usage

Import the module knapsack.py from the . directory into your project.


Tests

. contains Python unit tests which can be run with python3 -m unittest -v.