Gurobi Optimization V5.0 Solves New Problem Types, Adds New Features and Interfaces
HOUSTON, May 3, 2012 /PRNewswire-iReach/ — Gurobi Optimization, Inc. released Gurobi Optimizer V5.0 today. With this release, Gurobi has further strengthened its position as the state-of-the-art mathematical programming solver by adding support for quadratic constraints, a key facility for many applications in finance and other important optimization application domains. Support has also been added for lazy constraints, as well as a host of other features and performance enhancements. In addition, interfaces for both MATLAB and R are now available.
“V5.0 represents the rounding out of our core product offering, while also delivering additional features and performance enhancements our users have come to expect,” said Dr. Robert Bixby, Gurobi’s CEO and co-founder. “In addition, to further simplify and strengthen our academic offering, we have also extended the license term of our free academic licenses from six months to one year.”
Now Supports Quadratic Constraints
Already the technology leader in LP, QP, and MIP, Gurobi’s new QCP and MIQCP solvers allow users to solve problems containing quadratic constraints. The new version supports second-order cones, rotated second-order cones, and more general convex quadratic constraints.
Consistent with Gurobi’s goal of not just offering the features you need, but also providing the best available implementations, their new QCP and MIQCP solvers both provide more than twice the performance of the leading competitor.
Now Supports MATLAB and R
Providing tools that let users work the way they want to work is important at Gurobi. As a result, with Version 5.0 Gurobi has expanded the available interfaces beyond the already strong support for C, C++, Python, Java, and .NET, to now also include full support for MATLAB and R.
This should come as great news to the rapidly increasing numbers of users building statistical computing applications in R. Also, Gurobi’s new MATLAB interface gives MATLAB users access to a solver that is much more versatile and more powerful than the standard MATLAB offering.
Now Supports Lazy Constraints
Some problems, like the prototypical traveling salesman problem, can have a virtually limitless number of constraints. Capturing all of these constraints in a single model is difficult, if not impossible. With the new lazy constraint feature in Gurobi Version 5.0, users can now model such problems using a smaller, core set of constraints, and then during execution add additional constraints based on the set of solutions encountered. Consistent with the methodology Gurobi has used to implement other advanced features, lazy constraints don’t require you to shut off any advanced features, such as parallelism or sophisticated search strategies.
Overall Performance Enhancements
In addition to expanding the product to solve more problem types and support more programming languages, Version 5.0 also includes other feature and performance enhancements:
Improved features for working with infeasible or unbounded models include:
- A barrier homogeneous algorithm designed to handle infeasible problems
- A new FeasRelax procedure for finding solutions that minimize constraint violations
Additional feature and performance enhancements include the following:
- Faster presolve times
- Significant improvements in crossover numerical stability
- The ability to warm start the simplex algorithms from primal and dual solution vectors
- Enhanced user control of concurrent optimization
- A new approximate condition number algorithm
- The ability to retrieve variables and constraints by user-defined names
With version 5.0, Gurobi continues to show its commitment to providing the best solvers, features, and support to help OR professionals succeed with optimization.
About Gurobi Optimization, Inc.
Gurobi Optimization, Inc. (www.gurobi.com) is in the business of helping companies solve their hardest problems by providing the best optimization solver possible, with outstanding support, and no-surprises pricing. Founded in 2008 by arguably the most experienced and respected team in optimization today, Gurobi is rapidly growing as more and more companies see the benefits of working with a partner that is focused on providing the best solver and the best support possible.
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Media Contact: chris riche Gurobi Optimization, inc., 775-420-3626, email@example.com
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SOURCE Gurobi Optimization, Inc.