MathOptimizer Professional
MathOptimizer Professional
*Getting Started Documentation
*Buy Online
*Free Demo for G95 Compiler


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.