More Problems

• Given a set of tasks with varying deadlines and penalties for delays, design a Greedy algorithm that minimizes the total penalty while maximizing task completion.
• You are tasked with designing a Greedy algorithm to allocate bandwidth across multiple users in a network, where each user has different priority levels and data requirements. Maximize total user satisfaction.
• Design an algorithm to minimize the risk of failure in a system where tasks are scheduled on multiple servers, each having different reliability scores. The goal is to maximize uptime while minimizing the risk.
• You are tasked with scheduling jobs on multiple machines where each job has a specific processing time and resource requirement. Design a Greedy algorithm to minimize resource wastage while ensuring all jobs are completed.
• Given a set of items with varying values and weights, design a Greedy algorithm to maximize the total value collected in a dynamic environment where the capacity of the knapsack changes over time.
• Design a Greedy algorithm to minimize the cost of connecting all cities in a country using a limited number of bridges, each with a different construction cost and maximum capacity.
• You are given a set of tasks where each task has a start time, end time, and profit. Design a Greedy algorithm to maximize the total profit by selecting non-overlapping tasks, with some tasks having dependencies on others.
• Implement a Greedy algorithm to solve the resource allocation problem in cloud computing, where different tasks have different processing requirements and profits. The goal is to maximize profit while minimizing resource usage.