Bounded Knapsack Problem

The Bounded Knapsack problem can be defined as follows:

Given N items, each item having a given weight wi and a value vi, the task is to maximize the value by selecting a maximum of K items adding up to a maximum weight W.

Mathematically the problem can be expressed as:

Maximize  subject to  and xi ∈ {0, 1, . . . , K}

Some practice problems on Bounded Knapsack:

Introduction to Knapsack Problem, its Types and How to solve them

The Knapsack problem is an example of the combinational optimization problem. This problem is also commonly known as the “Rucksack Problem“. The name of the problem is defined from the maximization problem as mentioned below:

Given a bag with maximum weight capacity of W and a set of items, each having a weight and a value associated with it. Decide the number of each item to take in a collection such that the total weight is less than the capacity and the total value is maximized.

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4. Unbounded Knapsack Problem

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Variations of Knapsack Problem:

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Applications of the Knapsack Problem:

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