One way to design an algorithm for the knapsack problem is to use dynamic programming, a technique that breaks down a complex problem into smaller subproblems and stores the solutions in a table. The ...

Abstract: Knapsack problem is a classical optimization problem in computer science and programming. Knapsack problem main objective is to solve how much the maximum profit can be carried with the ...

The knapsack problem is a fundamental challenge in combinatorial optimization and a crucial topic in algorithm design and analysis. It involves a set of items, each with a specific weight and value, ...

The unbounded knapsack problem: given a knapsack of some capacity and a set of items that have a weight and a value, determine the maximum value of items you can place in your knapsack. The number of ...

Combinatorial optimisation for knapsack problems addresses the challenge of selecting discrete items to maximise value under capacity constraints. Such problems are central to resource allocation, ...

Abstract: The Knapsack Problem (KP) is a renowned combinatorial optimization challenge, recognized for its NP-hard complexity. This characteristic renders large-scale KP instances resistant to ...

The advancements of mobile devices, public networks and the Internet of creature huge amounts of complex data, both construct & unstructured are being captured in trust to allow organizations to ...

For Data Structures & Algorithm II course, my groupmates and I are assigned to create a program using any algortihm that we learned and add some modifications to make it an "original" idea. The ...

This repository contains an implementation of the Knapsack Cryptosystem, a public-key cryptographic system based on the subset sum problem. The Knapsack algorithm works by generating a public and ...

ABSTRACT: The 0/1 Multidimensional Knapsack Problem (0/1 MKP) is an interesting NP-hard combinatorial optimization problem that can model a number of challenging applications in logistics, finance, ...