Even-Driven Micorservices with Spring-Boot & Kafka (Runs in Docker Container)

A solution for resource allocation based on limited constraints

Multiple Disjunctively Constrained Knapsak problem: definition and an approximation algorithm implementation.

Multi knapsack problem solver which solves the problem greedy or dynamically

to find the optimal weight of bag of 20 kg having highest significance,, This program use random list depends upon the choice of user

This is an implementation of the 0-1 knapsack problem in C using a recursive approach. The problem consists of a set of items, each with a weight and a value, and a knapsack with a maximum weight capacity. The goal is to determine the subset of items that maximizes the total value of the knapsack without exceeding its weight capacity.

Knapsack solution program in Python. Both 'branch and bound' and 'brute force' algorithms with an explanatory PDF

implementation of dynamic and greedy approach solution for a problem. Which is a car company that produces given amount of cars every month with investments, profits costs etc. Profits are from car sales and investments.

Knap Sack Problem Backtracking

An example can be where one travels to Dubai and has an unlimited card, but the only issue is that economy and business class only allows 48Kgs 🧳 non negotiable per customer in the time of coronavirus 2021.

KnapSackProblem

Explore the Knapsack algorithm in action with this TypeScript implementation that optimizes transaction selection based on account balances. This repository demonstrates how the Knapsack algorithm can be utilized to choose transactions that yield maximum value while adhering to account balance constraints.

Trabajo sobre diferentes implementaciones del problema de la mochila.

This is an implementation of the 0-1 knapsack problem in C using dynamic programming. The problem consists of a set of items, each with a weight and a value, and a knapsack with a maximum weight capacity. The goal is to determine the subset of items that maximizes the total value of the knapsack without exceeding its weight capacity.