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Resource > Blog
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.
Resource > Blog
Using GPUs to Solve LPs vs. MIPs: What’s the Difference?
Understand how GPUs can impact the performance of LP and MIP models.
Resource > Blog
Optimization Methods: Choosing the Right Approach with Gurobi
Resource > Blog
Optimization in Transportation: Smarter Planning with Gurobi
Resource > Brochure
Optimization in Supply Chain Management with Gurobi
Learn how optimization in supply chain management with Gurobi improves sourcing, production, inventory, and logistics decisions using powerful...
Resource > Blog
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.
Resource > Blog, Infographic
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.
Resource > Blog
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...
Resource > Blog
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...
Resource > Blog
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...
Resource > Blog
From Speed to Scalability: Why Gurobi 13.0 Is Built for Today’s Optimization Demands
Explore how Gurobi 13.0 delivers faster performance, greater flexibility, and scalable solutions for modern optimization challenges.
