Software
Products
PCS products are
developed and maintained in cooperation with world-class partners. The
currently available software implementations - offered for compiler
platforms, optimization modeling environments, and integrated
scientific-technical computing systems - are listed below.
- LGO solver suite for nonlinear optimization, for all
C/C++/C#/Fortran compiler platforms
- MathOptimizer Professional for Mathematica (LGO for
Mathematica)
- MathOptimizer for Mathematica (A native Mathematica
package for nonlinear optimization)
- MATLAB-LGO (LGO for MATLAB)
- Excel-LGO (LGO for MS Office Excel)
- LGO for AIMMS
- LGO for AMPL
- LGO for GAMS
- LGO for MPL
- Global Optimization Toolbox (LGO for Maple)
- LGO for the TOMLAB platform (for MATLAB)
The software products LGO solver suite, MathOptimizer Professional for Mathematica, MathOptimizer, MATLAB-LGO and Excel-LGO are directly available from us
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Software's
Applications
- advanced engineering design (acoustics, automotive,
electronics, lasers, optics, robotics, surveillance, and other areas)
- aggregation of expert opinions (site or facility
location, risk assessment)
- calibration and operation of laboratory or medical
instruments
- data classification (cluster analysis)
- data visualization, multidimensional scaling and
state space reduction
- experimental design
- extremal energy (potential function) configurations
in physical, chemical, and biological modeling
- facility location and service allocation
(distribution) problems
- financial modeling and optimization
- general nonlinear approximation
- industrial design
- marketing research
- model fitting to empirical data: identification,
calibration and verification procedures
- object packing and configuration design in scientific
studies and in industrial engineering
- optimized design and operation of "black box"
(confidential or other completely closed) systems
- process optimization in the chemical and energy
industries
- risk analysis and management
- robust product or mixture design in the chemical and
processing industries
- stochastic simulation and optimization studies in
engineering applications
- systems of nonlinear equations and inequalities
- supply chain management
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