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    Gurobi Optimizer

    Input your complex business challenge as a mathematical model, and our Gurobi Optimizer software will output a detailed action plan.

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    Starting Price

    840/yr

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    Description

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    Gurobi Optimizer is your key to conquering complex problems by translating them into precise mathematical models. This versatile software excels in performance, caters to various problem types, offers expert support, and provides flexibility in licensing, including a web-based option. Key Features: Exceptional Performance: Gurobi Optimizer consistently surpasses competing solvers by finding feasible and optimal solutions. It's rigorously tested for numerical stability and correctness, ensuring top-notch performance across a wide range of scenarios. Problem Type Versatility: Whether it's Linear Programming (LP), Mixed-Integer Linear Programming (MILP), Quadratic Programming (QP), or other complex types, Gurobi supports them all. Model your problem in the way that suits your needs. Responsive Expert Support: Gurobi's team of PhD-level experts offers comprehensive guidance and technical support. They're readily available to assist with implementation and usage, delivering responses in hours, not days. Flexible Licensing: Gurobi Optimizer allows you to deploy your models according to your preferences. Licenses cover both development and deployment, support multiple applications, and can be transferred between consulting developers and end users. Web License Service: Gurobi's Web License Service (WLS) empowers you to deploy Gurobi virtually anywhere, including on cloud platforms like Amazon Web Services and Microsoft Azure. It seamlessly integrates with container environments on Docker and Kubernetes. Use Cases: Leading organizations worldwide rely on Gurobi Optimizer to make swift, informed, and unbiased decisions. It's a valuable tool for exploring the consequences of various decisions and conducting what-if scenarios. Gurobi supports models with multiple competing objectives, offering a spectrum of solutions.

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