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ILOG CPLEX®  

The World's Most Trusted Mathematical Programming Optimizers

ILOG CPLEX

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 future.

Features:

  • 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 Python®, or one of the modeling systems: ILOG OPL Development Studio, AIMMS, AMPL, GAMS, MPL and Microsoft Solver Foundation, or key software products Microsoft Excel® and MATLAB®, 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.

The Optimization Information Center
Take a bite of ILOG OPL Development Studio
This webcast is an overview of ILOG OPL Development Studio. The presentation is divided into two parts: Part one explains the building blocks of ILOG OPL Development Studio, while part two is a walk-through of a typical development process, exposing ILOG OPL Development Studio's functionalities. Each section of the presentation is easily accessible via a chapter selector.

 
Download the presentation
 
The ILOG Optimization Suite
 
ILOG OPL Development Studio
 
 
ILOG ODM
 
 
ILOG CPLEX
 
 
ILOG CP Optimizer
 
     
Optimization Jumpstart Workshops
 
Modeling and solving your business problem with ILOG Optimization.
 
     
The Right Hand Side
 
Check out ILOG's optimization e-newsletter.
 
     
IBM ILOG Optimization Workshop at the EURO Conference
  5 July 2009
Bonn, Germany
 
 
Learn more
 
 
Academic Sales
 
Customer Spotlight
   
     
 
 
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