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 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 language 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. Benefits: * 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 expressions * 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 maintained: * 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 platforms * Minimizes modeling errors with extensive error checking: * 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 reporting