Gurobi Blog
Explore interesting, applicable topics, curated by our thought leaders.
How Agora Navigates Europe’s Power Grid Transformation with Optimization
At the 2025 Gurobi Summit in Vienna, Agora explored how optimization-powered analysis can lead the way to energy system resilience and cost efficiency.
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How Danone Transforms Dairy Planning Chaos into Clarity
At the 2025 Gurobi Summit, Danone shared how optimization helps them overcome uncertainties to minimize costs while meeting demand.
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From Classroom to Career: How Optimization Education Prepares Students for Industry
Explore highlights from a recent Gurobi academic webinar, which brought together three distinct perspectives on optimization education and practice.
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Using GPUs to Solve LPs vs. MIPs: What’s the Difference?
Understand how GPUs can impact the performance of LP and MIP models.
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Women in Optimization: Dr. Vanesa Guerrero
Working at the intersection of statistics and optimization, Dr. Guerrero paves the way for innovation and inclusivity in STEM education.
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Infographic: The 2025 State of Mathematical Optimization Year-End Recap
Explore key highlights from Gurobi’s annual report, with insight into where optimization is driving the most impact.
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Prescriptive Analytics Examples with Optimization and Gurobi
Prescriptive analytics examples show how optimization with Gurobi turns forecasts into concrete decisions for supply chain, workforce, pricing, and more.
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Linear Programming in Operations Research with Gurobi
See how linear programming in operations research powers real-world decisions in production, logistics, and planning, and how Gurobi helps solve these models at scale.
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Linear Programming Examples: Real-World Models With Gurobi
Explore practical linear programming examples in manufacturing, logistics, and workforce planning, and see how Gurobi turns them into optimal decisions.
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Linear Programming: Gurobi for Real-World Optimization
Learn how a solver like Gurobi turns business constraints into optimal decisions for production, logistics, and workforce planning using linear programming.
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