Features

• New algorithm features that make the embedded LGO solver suite more robust and efficient
• New and improved Getting Started documentation

• 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

• Fortran G95
• MinGW GCC
• Microsoft Visual Studio
• Support for additional platforms and compilers will be made available upon request to the developers.