The Knapsack Problem: Difference between revisions

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=Overview=
=Overview=
=Problem Defintion=
=Problem Defintion=
The input is given by n items. Each item comes with a non-negative value v<sub>i</sub> and a non-negative and integral size w<sub>i</sub>. Additionally, a non-negative integral capacity W is also given.
The input is given by n items {i<sub>1</sub>, i<sub>2</sub>, ... i<sub>n</sub>}. Each item comes with a non-negative value v<sub>i</sub> and a non-negative and integral size w<sub>i</sub>. Additionally, a non-negative integral capacity W is also given.


The output should be a subset S ⊆ {1, 2, ..., n} that maximizes the value of all objects of the subset:  
The output should be a subset S ⊆ {i<sub>1</sub>, i<sub>2</sub>, ... i<sub>n</sub>} that maximizes the value of all objects of the subset:  
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   ∑v<sub>i</sub>
   ∑v<sub>i</sub>

Revision as of 00:09, 28 October 2021

External

Internal

Overview

Problem Defintion

The input is given by n items {i1, i2, ... in}. Each item comes with a non-negative value vi and a non-negative and integral size wi. Additionally, a non-negative integral capacity W is also given.

The output should be a subset S ⊆ {i1, i2, ... in} that maximizes the value of all objects of the subset:

 ∑vi
i∈S

so they all "fit" within the capacity:

 ∑wi ≤ W
i∈S