MATRIXx Product or Purchasing Questions?
- Ability to provide linear and nonlinear optimization capabilities
- Optimization that can be based on any user-defined combination of model or analysis variables
- User-defined performance index that can be linear, quadratic, or nonlinear
- User-specifiable general equality and inequality constraints
The Xmath Optimization Module provides the ability to perform linear and nonlinear optimization on any linear, quadratic, or nonlinear Xmath or SystemBuild performance index. All values of the optimization process are user-defined, including cost, constraints, initial values and bounds, optimization and penalty parameters, and maximum and minimum iteration numbers. Optimization of linear and quadratic performance indexes features Karmarkar-style algorithms.