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Improve efficiency, quickly implement strategies and
increase profitability. ILOG CPLEX\’s mathematical
optimization technology enables better
decision-making for efficient resource utilization.
With ILOG CPLEX, complex business problems can be
represented as mathematical programming models.
Advanced optimization algorithms allow you to
rapidly find solutions to these models.

Today, over 1,300 corporations and government
agencies use ILOG CPLEX, along with researchers at
over 1,000 universities. ILOG CPLEX helps solve
planning and scheduling problems in virtually every
industry. More than 100 of the world\’s leading
software companies are also ILOG CPLEX customers,
including market leaders like SAP, Oracle and Sabre.

Robust algorithms for demanding problems
ILOG pioneered the development of the algorithms
needed to solve today\’s most demanding mathematical
optimization problems. ILOG CPLEX has solved
problems with millions of constraints and variables,
and consistently sets new standards for mathematical
programming software speed and reliability.

Industry-leading support
No other vendor can match ILOG\’s rate of product
improvement or support resources. ILOG is committed
to ongoing innovation in the field of optimization,
protecting your ILOG CPLEX investment well into the


High performance
ILOG CPLEX optimizers deliver the power to solve
large-scale, real-world optimization problems, the
reliability necessary for mission-critical decision
making, and the speed required in today\’s
interactive applications. It\’s not just mathematical
excellence that drives ILOG CPLEX performance.
Superior software engineering manages the complexity
underlying the leading-edge search processes. And
the ability to use multiple CPUs and cores to
automatically divide the work at hand-ILOG Parallel
CPLEX-is available on shared-memory systems under
the standard ILOG CPLEX license.

Fundamental algorithms
ILOG CPLEX comes with the fastest, most reliable
implementations of the fundamental algorithms used
for solving demanding mathematical optimization
problems. ILOG CPLEX provides flexible,
high-performance optimizers used when solving linear
programming, quadratic programming, quadratically
constrained programming and mixed integer
programming problems.

Robust and reliable
A large installed base helps us make ILOG CPLEX
better with each release. Every new feature is
tested on the biggest, most diverse model library in
the world.

Flexible interfaces
ILOG CPLEX gives developers a variety of ways to
interact with it during the development and
deployment of their applications. Whether you use
programming interfaces like C, C++, .NET, Java and
Pythonr, or one of the modeling systems: ILOG OPL
Development Studio, AIMMS, AMPL, GAMS, MPL and
Microsoft Solver Foundation, or key software
products Microsoft Excelr and MATLABr, you will find
a familiar working environment in which to leverage
your investment. Moreover, ILOG CPLEX can be used on
a wide variety of hardware and operating systems for
true portability.

AMPL is a comprehensive and powerful algebraic
modeling language for linear and nonlinear
optimization problems, with either discrete or
continuous variables. ILOG is an authorized original
equipment manufacturer (OEM) of AMPL, which was
originally developed at Bell Laboratories, the
research and development arm of Lucent Technologies.
ILOG offers AMPL in two ways:
1. ILOG AMPL bundled with ILOG CPLEX, which limits
accessibility of ILOG CPLEX to the AMPL modeling
2. ILOG AMPL, as an optional add-on when purchasing
development and deployment licenses of ILOG CPLEX

AMPL is based upon modern modeling principles and
utilizes an advanced architecture, providing
flexibility most other modeling systems lack.
Successfully used in demanding mathematical
programming modeling applications around the world,
AMPL is available on all platforms on which ILOG
CPLEX runs.

AMPL allows modelers to create models with maximum
productivity. By using AMPL\’s natural algebraic
notation, even a very large, complex model can often
be stated in a concise (often less than one page),
understandable form. Since AMPL models are easy to
understand, debug and modify, AMPL also makes
maintaining models easy.

* Allows users to express models concisely in
familiar, flexible algebraic notation:
* Using indexing and sets, whole classes of
constraints or objective terms can be described in
relatively few generalized model statements
* Supports a wide variety of natural algebraic
* Allows separation of model and data
* Highly flexible-for example, does not impose any
particular data or model entry order
* May be used in interactive or batch environments
* Allows models to be easily modified and
* Sets, variables and constraints can be readily
added, changed or deleted
* Separate data files can be readily updated, or
imported from outside data sources
* External databases can be easily connected into
AMPL tables
* Offers ODBC database support on Microsoft Windows
* Minimizes modeling errors with extensive error
* Checks model syntax and consistency
* Closely checks validity of subscripts
* Covers most optimization model types:
* Linear programming problems
* Network problems
* Mixed integer programming problems
* Quadratic programming problems
* General nonlinear programming problems
* Provides powerful, flexible display options:
* Permits interactive data and solution browsing
* Allows the creation of customized solution

Support for AMPL.
ILOG provides support and maintenance services for