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Users have found success in utilizing Gurobi to solve a range of linear and non-linear programming problems across various industries. …
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What is Gurobi Optimizer?
Gurobi Optimizer is a software solution designed to address complex business challenges by providing detailed action plans through mathematical modeling. According to the vendor, the software is suitable for organizations of all sizes, from small businesses to large enterprises. It is utilized by various...
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What is Gurobi Optimizer?
Gurobi produces a mathematical optimization solver, the Gurobi Optimizer, which is used by companies across more than 40 different industries to rapidly solve their complex, real-world problems and make automated decisions to optimize business efficiency and profitability. Gurobi Optimizer…
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Product Demos
Optimization Application Demo: Cutting Stock Problem with Multiple Master Rolls
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Product Details
- About
- Tech Details
What is Gurobi Optimizer?
Gurobi Optimizer is a software solution designed to address complex business challenges by providing detailed action plans through mathematical modeling. According to the vendor, the software is suitable for organizations of all sizes, from small businesses to large enterprises. It is utilized by various professionals and industries including business analysts, operations research professionals, supply chain managers, financial planners, and manufacturing and production managers.
Key Features
Unmatched Performance: According to the vendor, Gurobi Optimizer consistently outperforms competing solvers by delivering both feasible and proven optimal solutions. The software's powerful MIP algorithm allows for the efficient solution of complex models that accurately represent real-world scenarios within a reasonable time frame.
Support for All Major Problem Types: Gurobi Optimizer supports a wide range of problem types, including linear programming (LP), mixed-integer programming (MIP), quadratic programming (QP), and more. The software provides specialized algorithms and techniques for different problem types, aiming to ensure efficient and accurate solutions.
Responsive, Expert Support: The vendor claims that Gurobi offers responsive and expert support to assist users in effectively utilizing the software and solving optimization problems. The support team consists of optimization experts who provide guidance and assistance in formulating and solving models. Comprehensive documentation, tutorials, and best practices are also available to aid users.
Flexible Licensing: According to the vendor, Gurobi provides flexible licensing options to accommodate different user needs and usage scenarios. The software can be licensed for individual users, teams, or enterprise-wide deployments. Users can choose between perpetual licenses or annual subscriptions based on their preferences and budget.
Web License Service: Gurobi's Web License Service (WLS) allows users to dynamically deploy the software in various containerized environments, such as Docker and Kubernetes. The vendor states that WLS supports different deployment scenarios across Linux, macOS, and Windows, providing flexibility and scalability.
Gurobi Optimizer Videos
Tutorial: Modeling with the Gurobi Python Interface
Solving Simple Stochastic Optimization Problems with Gurobi
Building optimization models and turning them into full featured applications with Gurobi and Anaconda
Gurobi Optimizer Technical Details
| Operating Systems | Unspecified |
|---|---|
| Mobile Application | No |
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Community Insights
TrustRadius Insights are summaries of user sentiment data from TrustRadius reviews and, when necessary, 3rd-party data sources. Have feedback on this content? Let us know!
- Business Problems Solved
- Pros
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- Recommendations
Users have found success in utilizing Gurobi to solve a range of linear and non-linear programming problems across various industries. Some notable use cases include supply chain management, where Gurobi has been instrumental in optimizing resource allocation and route optimization. The software has also been effective in the haul industry, helping users tackle complex optimization problems related to transportation and logistics.
Gurobi's capabilities have extended beyond these fields as well. It has been widely employed in electrical power systems engineering to determine the most suitable generator for supplying electricity during peak consumption phases. Moreover, Gurobi has been invaluable in industries such as academia, airlines, and police departments for applications including system biology optimization problems and resource allocation.
Customers have praised Gurobi for its user-friendly Optimizer API for Python, which offers flexibility and ease of use, particularly for assortment optimization problems with linear and non-linear objective functions. Additionally, users have expressed appreciation for Gurobi's performance and ability to handle complicated dynamic programming problems swiftly and efficiently. Its compatibility with other platforms like Python and MATLAB has further enhanced its value proposition.
Overall, Gurobi has emerged as a reliable alternative solver that provides great support and reduces stress for users across a wide range of industries. It helps businesses make better decisions, improve performance, and achieve optimal outcomes in areas such as bid optimization, route optimization, and supply chain network problems within transportation and logistics.
Ease of Use: Users have found Gurobi Optimizer to be very easy to use, with many reviewers mentioning its user-friendly nature. They appreciate the convenience it offers in building models using the Python interface without having to learn a new language.
Optimization Capabilities: Many users praise Gurobi Optimizer for its strong optimization capabilities and ability to solve diverse optimization problems quickly and efficiently. Reviewers mention that it is suitable for real-time decision-making scenarios and can handle thousands of variables and tens of thousands of constraints in just a few minutes.
Integration with Python: The integration of Gurobi Optimizer with Python has been highly appreciated by users. They find it convenient as they can write code in Python without the need to learn a new language. This integration allows for seamless building and implementation of models using the well-documented API and functionality provided by Gurobi Optimizer.
Low Performance in Some Functions: Several reviewers have expressed dissatisfaction with the performance of certain functions in Gurobi Optimizer, specifically those related to the hint of optimal solutions. These users have experienced subpar performance and are not fully satisfied with this aspect of the software.
Inability to Solve Non-Linear Programs: Gurobi Optimizer is unable to solve non-linear programs, as mentioned by multiple reviewers. This limitation can be a drawback for users who require solving complex optimization problems that involve non-linearities.
Expensive Development Licensing: The licensing cost for development purposes is considered expensive by some users. They have suggested that improvements could be made to make it more affordable and accessible for developers.
Users of Gurobi have made several recommendations based on their experiences with the software. The most common recommendations include:
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Use the Python API: Many users have found Gurobi to be a good package and recommend using the Python API to build mathematical models. This approach is seen as effective in solving big and complicated mathematical problems.
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Refer to the Gurobi Optimizer documentation: Users suggest referring to the documentation provided by Gurobi for learning and practical application of the software. It is considered a valuable resource for understanding the capabilities and features of the optimizer.
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Consider Gurobi for optimization needs: Several users strongly recommend switching to Gurobi for solving complex optimization problems. They praise its power, speed, and efficiency in handling mathematical optimization tasks. Additionally, users suggest considering the Gurobi cloud API for specific optimization needs that align with its service usage scenario.
Overall, users find Gurobi to be a useful tool for various applications, especially in academic research or industry settings where mathematical optimization plays a crucial role.