Algorithms developed at Wolfram Research give Mathematica industrial-strength constrained nonlinear optimization and fitting. Mathematica provides a uniquely powerful modeling language in which problems can be specified directly in symbolic form--and then automatically analyzed to select the best algorithms to use.

• General nonlinear constraints involving arbitrary exact or approximate functions.
• Immediate built-in support for nonlinear constrained fitting to arbitrary models.
• Automatic selection among multiple algorithms, including linear and nonlinear interior point methods.
• Automatic computation of gradients and Hessians using automatic differentiation.
• Support for both local and global constrained optimization, including exact optimization.
• Integrated with Mathematica database functionality, FinancialData, etc.

Minimize over Arbitrary Regions	Handle Systems of Nonlinear Constraints