Well documented api and functionality. Easy to find solutions online for problems. Review collected by and hosted on G2.com.
A little bit expensive. Need to have better licensing for development purpose. Review collected by and hosted on G2.com.
19 out of 20 Total Reviews for Gurobi Optimizer
Ability to solve wide range of optimization problems such as Linear Programming, Mixed-Integer Linear Programming, Convex Non-Linear Programming,etc. which makes any company able to solve complex supply chain problems Review collected by and hosted on G2.com.
Its inability to solve non-convex optimization problems, prerequiste of mathemtical modelling backgroung leading to intensive training requirements, expensive commerical license Review collected by and hosted on G2.com.
If you are a cplex user, you can easily use gurobi package Review collected by and hosted on G2.com.
Some functions show low performance such as the function related to the hint of opt solution. Review collected by and hosted on G2.com.
It is convenient to use with a great group of community and regular updates. I have had experience using Gurobi Optimizer in the process of learning optimization (from the most basic integer optimization to linear optimization, and more complex ones), and used it to solve many homework problems and course project.
Later in the stage, I got the chance to work on a data science project that involves intensive work on optimization and got to again use Gurobi Optimizer. In most of the cases, linear optimization or even integer optimization is already good enough to solve the real business issues. It happened rarely that more complicated models are required, but they could also be converted to linear ones with some tricks or so.
Gurobi Optimizer is very time-efficiently that it can solve an optimization problem with thousands of variables and tens of thousands of constraints in just a few minutes. This is quite essential in practice because it can not only make the building process much easier (you can do multiple trial and error in a relatively short time period and gives yourself less time pressure..) but also make your algorithm to be deployable in reality. especially in the case that the company needs to get some optimal decision in a timely manner (say need to run the optimization every week, every day, or even every hour)! Review collected by and hosted on G2.com.
The syntex could have been more straightforward. Review collected by and hosted on G2.com.
Gurobi APIs for Python is easy to implement. The performance on MILP and Quadratic Programming models are very good. There are performance improvements with the newer version 9.1. Review collected by and hosted on G2.com.
Need to convert non-linear problems into a Linear or Quadratic formulation. Complex non-linear models might need decomposition techniques to overcome scaling issues for problems of bigger size. Review collected by and hosted on G2.com.
Ability to solve diverse
optimization problems like linear programming (LP),
quadratic programming (QP), mixed-integer linear
programming solver (MILP), mixed-integer programming
(MIP) very quickly and in an efficient manner Review collected by and hosted on G2.com.
I didn’t find any. I was fully satisfied Review collected by and hosted on G2.com.
I have used gurobi as a library in python . Gurobi is super fast in solving linear and dynamic programming problems. You can use gurobi even with basic programming experience. It's very easy to code objective function and all constraints in gurobi. Review collected by and hosted on G2.com.
It is not available for free . You need to be little bit familiar with computer programming. Review collected by and hosted on G2.com.
Gurobi offers excellent support for python and matlab. Review collected by and hosted on G2.com.
I think if Gurobi can offer more hands on examples. This will help developers reducing significant amount of time exploring how to use it. Review collected by and hosted on G2.com.
I particularly like the extensive resources available along with examples helpful for both new and experienced users. Review collected by and hosted on G2.com.
As a beginner I had some issues setting up Gurobi in Python environment but again the documentation proved really helpful. Review collected by and hosted on G2.com.
The best about Gurobi Optimizer is its capacity to solve more and more non-linear expressions. Review collected by and hosted on G2.com.
Python-Gurobi resources. The documentation is limited and not well explained. It needs more examples. Review collected by and hosted on G2.com.
