More Problems

• You are given a set of jobs in a high-performance computing cluster where each job has different memory, CPU, and network demands. Implement a Greedy algorithm to maximize total job completion while minimizing resource overuse.
• Design a Greedy algorithm to allocate limited public transportation vehicles in a city during peak hours where each route has varying passenger demand and travel times. Maximize total passenger service while minimizing traffic congestion.
• You are tasked with scheduling the release of high-demand digital products where each product has different development times, market demand, and revenue potential. Maximize total sales while minimizing production delays.
• Design a Greedy algorithm to allocate limited bandwidth across telecommunications networks in a large metropolitan area where each network has varying user demands, data traffic, and revenue potential. Maximize network efficiency while minimizing bandwidth congestion.
• You are given a set of marketing campaigns where each campaign has varying audience reach, engagement potential, and costs. Implement a Greedy algorithm to allocate marketing budgets across campaigns to maximize total audience engagement while minimizing expenses.
• Design a Greedy algorithm to allocate limited research funding to university research departments where each department has varying success probabilities, project timelines, and potential discoveries. Maximize total research output while minimizing financial risk.
• You are tasked with scheduling repairs for bridges in a national transportation system where each bridge has different traffic volumes, repair costs, and repair times. Maximize the number of bridges repaired while minimizing traffic disruptions.
• Design a Greedy algorithm to allocate limited medical supplies to hospitals during an emergency where each hospital has varying patient loads, supply needs, and logistical challenges. Maximize patient care while minimizing supply shortages.