Functional Code Examples
Infographic: Discover the Business Benefits that Mathematical Optimization Delivers
he majority of global enterprises today are using AI technologies – such as machine learning and mathematical optimization – as these technologies help them transform their operations, tackle their business problems, and achieve their business goals.
Mathematical optimization, in particular, is rapidly growing in popularity. Leading companies across numerous industries utilize mathematical optimization in a variety of different use cases including supply chain planning, logistics, pricing, workforce scheduling, and other operational applications.
Generally speaking, companies that deploy mathematical optimization see improved performance and business outcomes. But what exactly are the business benefits that companies using mathematical optimization have realized?
eBook: Choosing a Math Programming Solver
Switching Within a Modeling Language
With solver-independent systems like AIMMS, AMPL, GAMS, and MPL, migrating is easy. Just install a license, set the solver to Gurobi, and set your parameters.
Exporting MPS Files
Benchmark your models with the world’s fastest solver.
MIP Solvers: A Guide to Open-Source and Commercial Solutions
Explore LP and MIP solver solutions, including open-source and commercial options for your optimization projects.
Switching Is Easier Than You Think
Learn why companies are switching to Gurobi for better performance, support, and licensing.
Switching from XPRESS
Switching from OPL
Discover why migrating from OPL™ and CPLEX™ to AMPL™ and Gurobi is a powerful solution.
Switching from CPLEX
Migrate from CPLEX™ to Gurobi—from building the model and setting solver parameters, to computing and extracting the solution.
