The Gurobi Optimizer is a state-of-the-art simplex
based linear programming (LP) and mixed-integer
programming (MIP) solver, built from the ground up
to exploit modern multi-core processors. Parallelism
is included with every Gurobi license. The Gurobi
Parallel MIP Optimizer is deterministic: two
separate runs on the same model will produce
identical solution paths.
The Gurobi Optimizer is written in C and is
accessible from several languages. In addition to a
powerful, interactive Python interface and a
matrix-oriented C interface, we provide
object-oriented interfaces from C++, Java, and
Python. These interfaces have all been designed to
be lightweight and easy to use, with the goal of
greatly enhancing the accessibility of our products.
And since the interfaces are lightweight, they are
faster and use less memory than other standard
interfaces. Our online documentation (Quick Start
Guide, Example Tour and Reference Manual) describes
the use of these interfaces. We also have a .NET
interface through Microsoft Solver Foundation (MSF).
The Gurobi Optimizer is the default MIP solver in
MSF.
Gurobi is also available through several powerful
third-party modeling systems including AIMMS, AMPL,
FRONTLINE SOLVERS, GAMS, MPL, OptimJ, and TOMLAB.
Version 2.0 of the Gurobi Optimizer is now
available! This new version includes a number of
enhancements:
* Significant improvements in MIP performance: For
difficult models, Gurobi 2.0 is roughly four times
as fast as Gurobi 1.1.
* Significant improvements in simplex performance:
The new dual simplex optimizer is roughly twice as
fast as Gurobi 1.1.
* Improvements in parallel MIP performance: Gurobi
2.0 extracts more benefit from each additional
core in your multi-core system.
* MIP IIS (Irreducible Infeasible Subsystem): Gurobi
2.0 can identify the causes of infeasibility in
MIP as well as LP models.
* MIP node files: Allow you to store MIP nodes on
disk and thus solve much larger MIP models.
* Cloud computing: Gurobi is now available on-demand
via the Amazon Elastic Computing Cloud.
* New examples: An extensive new set of examples
illustrates key features and uses for Gurobi in
all supported languages.
* Support for Mac OS X.
http://www.gurobi.com
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