Tags :Optimization

Siemens.NX.12.0.0.Topology.Optimization.for.Designers.Win64he latest version of Siemens NX software (NX 12) delivers the next big breakthrough in digital product development with Convergent Modeling, a brand new modeling paradigm which greatly simplifies the ability to work with geometry consisting of a combination of facets, surfaces and solids, without the need for time-consuming data conversion. Convergent Modeling, the first technology of its kind, will help engineers optimize part design for 3D printing, speed up the overall design process and make reverse engineering a far more common and efficient practice in product design. In addition, NX 12 includes multiple enhancements throughout the integrated computer-aided design, manufacturing and engineering (CAD/CAM/CAE) solution, such as next generation 3D CAE, powered by the newly announcedSimcenter 3D software, and improved...

CPLEX Optimization Studio speeds development and deployment of optimization models, combining leading solver engines with a tightly integrated IDE and modeling language. Speed development and deployment of optimization models, using linear/quadratic, mixed integer, and constraint programming and constraint-based scheduling. Ensure reliable development and maintenance using a transparent modeling language and intuitive tools for model testing, profiling, and tuning.IBM ILOG CPLEX Optimization Studio provides the fastest way to build efficient optimization models and state-of-the-art applications for the full range of planning and scheduling problems. The Optimization Programming Language (OPL) provides a natural representation of optimization models, requiring far less effort than general-purpose programming languages. The Integrated Development Environment (IDE) makes it easy to evaluate different modeling approaches and to integrate external...

The MOSEK Optimization Software is designed to solve large-scale mathematical optimization problems. MOSEK provides specialized solvers for linear programming, mixed integer programming and many types of nonlinear convex optimization problems.Product:Mosek.Optimization.Tools.v6.0.0.122 Lanaguage:english Platform:WIN32&WIN64 Size:78 MB

The Gurobi Optimizer is a state-of-the-art solver for linear programming (LP), quadratic programming (QP) and mixed-integer programming (MILP and MIQP). It was designed from the ground up to exploit modern multi-core processors. Every Gurobi license allows parallel processing, and the Gurobi Parallel Optimizer is deterministic: two separate runs on the same model will produce identical solution paths. For solving LP and QP models, the Gurobi Optimizer includes high-performance implementations of the primal simplex method, the dual simplex method, and a parallel barrier solver. For MILP and MIQP models, the Gurobi Optimizer incorporates the latest methods including cutting planes and powerful solution heuristics. All models benefit from advanced presolve methods to simplify models and slash solve times. The Gurobi Optimizer is...

The Gurobi Optimizer is a state-of-the-art simplex based linear programming (LP) and mixed-integer programming (MIP) solver, built from the ground up to exploit modern multi-core processors. Parallelism is included with every Gurobi license. The Gurobi Parallel MIP Optimizer is deterministic: two separate runs on the same model will produce identical solution paths. Gurobi is also available through several powerful third-party modeling systems including AIMMS, AMPL, FRONTLINE SOLVERS, GAMS, MPL, OptimJ, and TOMLAB. Version 2.0 of the Gurobi Optimizer includes a number of enhancements: * Significant improvements in MIP performance: For difficult models, Gurobi 2.0 is roughly four times as fast as Gurobi 1.1. * Significant improvements in simplex performance: The new dual simplex optimizer is roughly twice as fast as...

The Gurobi Optimizer is a state-of-the-art simplex based linear programming (LP) and mixed-integer programming (MIP) solver, built from the ground up to exploit modern multi-core processors. Parallelism is included with every Gurobi license. The Gurobi Parallel MIP Optimizer is deterministic: two separate runs on the same model will produce identical solution paths. The Gurobi Optimizer is written in C and is accessible from several languages. In addition to a powerful, interactive Python interface and a matrix-oriented C interface, we provide object-oriented interfaces from C++, Java, and Python. These interfaces have all been designed to be lightweight and easy to use, with the goal of greatly enhancing the accessibility of our products. And since the interfaces are lightweight, they are faster...