IBM ILOG CPLEX optimizer for linear and mixed integer programming
About IBM ILOG CPLEX Optimizer
IBM ILOG CPLEX Optimizer is designed to solve large-scale mathematical optimization problems. CPLEX solves integer programming problems, very large linear programming problems, quadratic programming problems, and has recently added support for problems with convex quadratic constraints (solved via Second-order cone programming, or SOCP).
About OptimJ solver link for IBM ILOG CPLEX Optimizer
OptimJ™ for IBM ILOG CPLEX Optimizer lets you develop, debug and tune models in Java™ using state-of-the-art tools and techniques. It provides a clear and concise algebraic notation for optimization modeling, object-oriented programming for data modeling, and powerful bulk data manipulation primitives for pre- and post-processing.
OptimJ™ models are directly compatible with Java™ source code, existing Java libraires such as database access, Excel connection or graphical interfaces, leveraging existing code bases and training, and facilitating communication between optimization experts and IT teams.
OptimJ™ brings modern development tools such as Eclipse, CVS, JUnit or JavaDoc to optimization experts, improving productivity and quality.
You can try OptimJ™ for IBM ILOG CPLEX Optimizer with a free 30-days evaluation licence including examples of OptimJ™ models for IBM ILOG CPLEX Optimizer.
OptimJ™ solver link for IBM ILOG CPLEX Optimizer is reasonably priced, contact us for the details.
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