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.
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 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.
Version 3.0 of the Gurobi Optimizer contains a
number of new features. Users of previous versions
may need to make a few minor changes to their
existing programs.
* Barrier optimizer: The Gurobi Optimizer now
includes a parallel barrier optimizer, and a
crossover algorithm to transform the barrier
solution to an optimal basic solution. Use the
LPMethod parameter to select barrier for a
continuous model, or the RootMethod parameter to
select barrier for the root relaxation of a MIP
model.
* .NET interface: You can now use the Gurobi
Optimizer from Microsoft .NET languages (C#,
Visual Basic.NET, etc.). Our .NET interface is
object-oriented, and supports the same object
model as our C++, Java, and Python interfaces.
We\’ve included a complete reference manual, as
well as on-line InteliSense help for use within
Visual Studio. We\’ve also included a full set of
examples in both C# and Visual Basic.NET.
* MIP performance: The MIP solver is significantly
faster in release 3.0. New features include
symmetry handling, improved and additional cutting
planes, and additional MIP heuristics.
* MIP memory management: The MIP solver manages
memory more efficiently. Memory usage is reduced
for most models, and node files make more
effective use of available memory.
* Alternate MIP solutions: You can now retrieve any
of the feasible solutions found during the
branch-and-cut search.
* Presolve: Additional presolve reductions have been
added, which help LP and MIP performance.
* MPS and LP reader performance improvements: MPS
and LP files read as much as 3X faster.
* New Mac installer: We\’ve built a new installer for
the Mac port. You can now simply double-click on
our distributed Gurobi package.
* New attributes and parameters: To support the new
features in Gurobi 3.0, we have added several new
attributes and parameters. You can learn more
about these in the Attributes and Parameters
sections of the {Gurobi Reference Manual}.
Product:Gurobi Optimization Gurobi for AMPL v3.0.1
Lanaguage:english
Platform:Winxp/Win7
Size:3 MB