Gurobi Optimizer allows users to state their toughest business problems as mathematical models, and then automatically considers billions or even trillions of possible solutions to find the best one. Our solver can be used as both a decision-making assistant, to help guide the choices of a skilled expert, or as a fully automated tool to make decisions with no human intervention.
The solvers in the Gurobi Optimizer were designed from the ground up to exploit modern architectures and multi-core processors, using the most advanced implementations of the latest algorithms. It includes the following solvers:
- linear programming solver (LP)
- mixed-integer linear programming solver (MILP)
- mixed-integer quadratic programming solver (MIQP)
- quadratic programming solver (QP)
- quadratically constrained programming solver (QCP)
- mixed-integer quadratically constrained programming solver (MIQCP)
This product is generally distributed as a floating network license. This means there may be a limited number of seats of this software available and that users must connect to an on-campus license server to use the software.
Versions of this software are available on: Windows, Mac OS, Linux, the Palmetto Cluster. You may have to check with the vendor about the availability of other versions.
Other RestrictionsThis license is to be used for academic research and/or coursework related to your academic studies. Any commercial use is strictly forbidden.
License server: license8.clemson.edu Port: 41954
If you cannot enter license server name and port separately in the application, you may need to enter them in the format:
Purchasing Gurobi Optimizer
Licenses for this software are available without purchase if you meet any license restrictions.
Install Media - How to Access Gurobi Optimizer
Installing On Windows
Installing On Mac OS
Installing On Linux/Unix
If you have any additional questions about the availability, cost, or install procedures for this software, you can either visit the CCIT Support Center on the 2nd floor of Cooper Library or send an email to email@example.com.
Faculty and staff can also contact their local IT support for help.