More Problems

• You are tasked with scheduling jobs on multiple machines where each job has a different processing time and priority. Implement a Greedy algorithm that minimizes the makespan (maximum time a machine will take to complete all jobs assigned to it).
• Design a Greedy algorithm to solve the fractional knapsack problem, where items are added to a knapsack in such a way that the weight distribution is optimal under varying weight constraints.
• You are given a set of intervals representing meeting times, each with a varying priority level. Implement a Greedy algorithm to maximize the total priority value of meetings attended without overlap.
• Given a set of weighted intervals that represent available resources, design a Greedy algorithm to maximize the allocation of resources without exceeding predefined limits.
• You are managing a project with several tasks, each having its duration, dependencies, and profits. Design a Greedy algorithm to maximize project profit while minimizing delays and ensuring all dependencies are met.
• Implement a Greedy algorithm to minimize the total travel cost in a weighted graph where each node represents a city, and each edge represents the travel cost between two cities, subject to time constraints.
• You are given an array of integers where each element represents the cost of a particular investment option. Design a Greedy algorithm to maximize the return on investment (ROI) while considering budget constraints.
• Design an algorithm to maximize the number of containers loaded onto a ship where each container has different loading costs, sizes, and priorities. The goal is to minimize the cost while maximizing the number of containers.