Switching solvers may seem like a daunting task, but it’s typically straightforward. New customers regularly tell us migrating was easier than they expected, and that they are happy they made the switch to Gurobi. On the Gurobi Product Overview page, we mention four things we do to make it easy to get started with Gurobi:
You may also be interested in learning about our Gurobi Python modeling and development environment. The Gurobi Python Environment combines the benefits a modeling language with the strengths of a programming language. By embedding our set of high-level optimization modeling constructs in the very popular Python programming language, we’ve eliminated the need to choose between working in just a modeling language or just a programming language.
No matter what programming language you use, you’ll need to consider three points when starting a migration effort:
Each of these points are discussed in more detail on the switching from CPLEX™ and the switching from XPRESS™ pages. You can also learn more about switching within a modeling language, switching from OPL, and read about open source software and solvers.
“Switching to, and working with, the team from Gurobi has been a great experience. Their solver has met our high expectations, and the support they provide has been fantastic.”
Michael North
Sr. Director, NFL
We make it easy for students, faculty, and researchers to work with mathematical optimization.
When you face complex optimization challenges, you can trust our Gurobi Alliance partners for expert services.
Our global team of helpful, PhD-level experts are here to support you—with responses in hours, not days.
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