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Gurobi Optimizer Review

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Excellent

Revainrating 5 out of 5  
Rating 
5.0
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Description of Gurobi Optimizer

Gurobi produces the world’s fastest and most powerful mathematical optimization solver – the Gurobi Optimizer – which is used by leading global companies across more than 40 different industries to rapidly solve their complex, real-world problems and make automated decisions that optimize their efficiency and profitability. As the market leader in mathematical optimization software, we aim to deliver not only the best solver but also the best support – so that companies can fully leverage the power of mathematical optimization (on its own or in combination with other AI techniques such as machine learning) to drive optimal business decisions and outcomes. Founded in 2008, Gurobi has operations across the USA, Europe, and Asia and has more than 2,500 customers globally including SAP, Air France, Uber, and the National Football League (NFL).

Reviews

Global ratings 4
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Type of review

Revainrating 5 out of 5

Gurobi Optimizer - Best Python Optimization Tool

That it's easy for one hand coding with python. I can solve my business problem in few time using it. It provides best documentation and online tutoring about its operation and usage. Sometimes I encountered performance issues which sometimes take time or I have to wait for sometime. It's best software to learn python especially using optimization models. I was solving a simple transportation model so as to minimize total running cost. Gurobi is a great optimization tool for solving large-scale

Pros
  • Its user friendly GUI
  • Great solver quality.
  • User guide available at free from internet
  • Easy learning process through tutorials & documents provided by gurubi team itself.No need external tutorial books required here also you able do understand easily when compare other tools such that scipy ,cvxopt etc.and others are difficult compared this product because they provide stepwise procedure like manual solution steps while no we get all
Cons
  • Some cons

Revainrating 5 out of 5

Very happy customer looking forward and planning future upgrades

I like how easy it was for me as an engineer who has never done programming before in Python or any other language really but just because of my experience with math formulas this program helped alot! It's not too complicated at all once you get into using some functions after awhile even though i have only been able use about 5 out 10 features so far its still very helpful!! The interface could be improved if they would allow multiple input files instead having one file per problem solved…

Pros
  • Easy solution without advanced knowledge needed, highly reliable solver that uses many different algorithms which is what gives us great flexibility within model creation & optimization solutions across various industries including ours specifically financial sector

Revainrating 5 out of 5

Parallel Optimization Libraries - SciPyOpt

I like how easily you can use python or R code through the API.It's very flexible in terms of what kind of models you want to run. It does have some overhead associated with it (memory) as compared to other libraries, but it is still faster than many commercial products. There are quite a few restrictions. It doesn't support multi-objective optimization or multi-modal problems. You also cannot use multiple threads without using an external library. The documentation could be improved, but I…

Pros
  • Very fast solver that supports sparse matrices which make up our actual data structure from CFD simulation results we obtained via Python numpy arrays/ Pandas objects when read into JavaRDD s.Also easy configuration management setup due o easeful creation wih Jupyter notebook environmentEasy integration between java api & restAPIGood Documentation
Cons
  • Some problems

Revainrating 5 out of 5

Very good open source optimization tool

It has been running our simulations of over 1 million vehicle fleet scenarios for almost 7 years now with great results! I think Gurobi is the best on the market. We are solving large scale nonlinear mixed integer programs (MIP) in less than 5 seconds on a desktop computer with no special hardware or software required. There are certain functions like "get_feasible" that work well and fast but have a small drawback - they don't support multiple input files at once but rather process them one by

Pros
  • Superb quality
  • Very good speed, especially when compared to other solvers used today.
  • Easy setup
  • No need use proprietary tools such as CPLEX Studio etc..It can be easily set up using Matlab/Octave which makes it accessible from any programming language; this opens doors into more fields where Python doesn’t go far enough e
Cons
  • Some disadvantages