Overview
Gurobi Optimizer is a leading software for mathematical optimization. It provides tools for a range of mathematical programming problems, including linear programming (LP), integer programming (IP), and quadratic programming (QP). Established by experts in the field, Gurobi focuses on delivering quick solutions that can handle large datasets.
Key features
Robust Solver
Gurobi is known for its high performance in solving large and complex optimization problems quickly.
Multiple Programming Interfaces
It supports various programming languages like Python, C++, Java, and .NET, making it versatile for different users.
High Scalability
The software can efficiently manage and solve problems ranging from small to very large scale.
Parallel Processing
Gurobi uses advanced parallel optimization techniques to speed up the solving process significantly.
Modeling Language Compatibility
It works seamlessly with popular modeling languages like AMPL, GAMS, and others, enhancing usability.
Integration with Data Analytics
Gurobi can be easily integrated with data analytics tools and platforms, allowing users to run optimizations directly on their data.
Cloud-Based Solutions
Offers options for cloud optimization, which is beneficial for users needing flexible computing resources.
Comprehensive Documentation
Gurobi provides extensive documentation and tutorials that help users understand and utilize the software efficiently.
Pros & Cons
Pros
- Ease of Use
- Speed
- Flexibility
- Strong Support
- Active Community
Cons
- Cost
- Complexity for Beginners
- Limited Free Version
- Dependency on Licensing
- Steeper Learning Curve for Advanced Features
Rating Distribution
User Reviews
View all reviews on G2Optimization Excellence with Gurobi Optimizer
What do you like best about 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
What do you dislike about Gurobi Optimizer?
Its inability to solve non-convex optimization problems, prerequiste of mathemtical modelling backgroung leading to intensive training requirements, expensive commerical license
What problems is Gurobi Optimizer solving and how is that benefiting you?
In our company, we use it for solving complex supply chain problems such as facility location problem, vehicle routing problem and network scheduling problems which use the baseline of linear and mixed-integer linear programming problems
High performance and low price
What do you like best about Gurobi Optimizer?
If you are a cplex user, you can easily use gurobi package
What do you dislike about Gurobi Optimizer?
Some functions show low performance such as the function related to the hint of opt solution.
Recommendations to others considering Gurobi Optimizer:...
Great Tool for Optimization
What do you like best about Gurobi Optimizer?
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), an...
Gurobi has easy to use APIs with good performance on Mixed Integer Linear and Quadratic Programming
What do you like best about Gurobi Optimizer?
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.
What do you dislike about Gurobi Optimizer?
Need to convert non-linear pr...
Strongly Recommended
What do you like best about Gurobi Optimizer?
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
What do you dislike about G...
Company Information
Alternative Mlops Platforms tools
FAQ
Here are some frequently asked questions about Gurobi Optimizer.
Gurobi can solve linear programming, integer programming, and quadratic programming problems, among others.
Yes, Gurobi is user-friendly, though beginners might need time to fully understand optimization concepts.
Yes, Gurobi offers cloud-based solutions for users who require flexible and scalable computing resources.
Gurobi supports Python, C++, Java, and .NET among others.
Gurobi provides extensive documentation, tutorials, and an active community to help users learn the software.
Yes, Gurobi offers a free version, but it has limitations that restrict its use for large or complex projects.
Gurobi runs on various operating systems; you can find specific requirements on their official website.
Yes, a license is required for commercial use, but students and academics can often access it for free or at reduced rates.
