MathOptimizer Professional combines the power of Mathematica with the established LGO (Lipschitz Global Optimizer) solver suite, offering sophisticated application development tools and a solver-based functionality comparable to other compiler-based or optimization modeling language-related implementations
- Improved, more robust, faster version of LGO
- Support for Intel, Lahey, Salford and G95 Fortran compilers. Support for Microsoft Visual C compilers
- Support for repeating a MathOptimizer Professional program run, without the need to recompile the C or Fortran code
General Features
- Global and local optimization of nonlinear problems with hundreds of variables and constraints, under minimal structural assumptions
- Automatic generation of C or Fortran code from Mathematica expressions
- Robust and efficient LGO solver suite, integrating the following strategies:
- Branch-and-bound-based (adaptive partition and sampling) global search
- Adaptive stochastic global search
- Adaptive stochastic multistart-based global search
- Bound-constrained local search based on the use of an exact penalty function
- Constrained local search based on a generalized reduced gradient approach
- Seamless reporting of optimization results back to the calling Mathematica notebook document
- Support for the most widely used C and Fortran compilers
Supported Compilers
- Microsoft Visual C/C++ (6 and later)
- Intel Fortran
- Lahey Fortran 90 (4.5)
- Lahey Fortran 95 (5.7 and later)
- Salford Fortran 95
- G95
- Support for additional platforms and compilers will be made available upon request to the developers.
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