Features
New in Version 2015
- New algorithm features that make the embedded LGO solver suite more robust and efficient
- New and improved Getting Started documentation
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
- Fortran G95
- MinGW GCC
- Microsoft Visual Studio
- Support for additional platforms and compilers will be made available upon request to the developers.
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