More Problems

• Design a Greedy algorithm to allocate limited research funding to university departments where each department has varying success probabilities, project timelines, and societal impact. Maximize total research output while minimizing financial risk.
• You are given a set of marketing campaigns where each campaign has different engagement levels, costs, and potential reach. 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 bandwidth in a telecommunications network where each segment has varying data traffic and usage patterns. Maximize total network efficiency while minimizing congestion.
• You are tasked with scheduling the release of new digital content on a streaming platform where each piece of content has different engagement potential, viewer demand, and licensing costs. Maximize total viewer engagement while minimizing scheduling conflicts.
• Design a Greedy algorithm to allocate limited funds to educational programs where each program has varying societal benefits, costs, and student outcomes. Maximize educational impact while minimizing budget overruns.
• You are given a set of jobs in a high-performance computing environment where each job has different execution times, memory needs, and processing requirements. Implement a Greedy algorithm to maximize total job completion while minimizing resource wastage.
• Design a Greedy algorithm to allocate limited public transportation resources during peak hours in a city where each route has varying passenger demand and travel times. Maximize total passenger service while minimizing traffic congestion.
• You are tasked with scheduling the repair of national bridges where each bridge has different repair costs, traffic volumes, and repair times. Maximize the number of bridges repaired while minimizing traffic disruptions.