![]() As the market leader in mathematical optimization software, we aim to deliver not only the best solver, but also the best support - so that you can fully leverage the power of mathematical optimization to drive optimal business decisions and outcomes. |
![]() The Digital Optimization Ecosystem. Our system extends beyond our suite. You can integrate with the system, implement the system and grow with the system. Teams of experts to help you become a disruptor, no matter where you are in your journey. |
![]() The areas addressed include linear and quadratic programming, convex programming, nonlinear programming, complementarity problems, stochastic optimization, combinatorial optimization, integer programming, and convex, nonsmooth, and variational analysis. Contributions may emphasize optimization theory, algorithms, software, computational practice, applications, or the links between these subjects. |
![]() A unified modeling language. A single modeling and solution framework supports a wide range of optimization models. You only need to learn one set of statements and commands to build a range of optimization and constraint satisfaction models. Powerful optimization solvers presolvers. |
![]() Whats your IT optimization challenge? I need a simpler operating environment that doesnt hold me back. Simplicity is the key to a more efficient, secure IT ecosystem. By standardizing your operating environment on Red Hat infrastructure, you can take control of cost and complexity. |
![]() Decision Tree for Optimization Software. This site aims at helping you identify ready to use solutions for your optimization problem, or at least to find some way to build such a solution using work done by others. If you know of useful sources not listed here, please let us know. |
![]() Customization options offered for CAI targeting, motif avoidance or inclusion, and structural avoidance. Benefits of codon optimization. Codon optimization tool makes synthetic gene design easy. Using a codon optimization tool - how it works and advantages it provides. Sebesta J and Peebles C. |
![]() Towards this goal, it isnecessary to understand how numerical optimization algorithms can be convertedinto feedback controllers to enable robust closed-loop" optimization. In thisarticle, we review several research streams that have been pursued in thisdirection, including extremum seeking and pertinent methods from modelpredictive and process control. |