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Symbolic and Numerical Optimization in Mathematica: from Prototyping to Production

Yifan Hu
Organization: Wolfram Research, Inc.
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Mathematica, has a number of functions for linear and nonlinear optimization, all comes with the standard version.

These include unconstrained, constrained optimization and large scale linear programming.

Able to solve problems in machine or extended/infinite precisions.

Combined with the extensive choices of algorithms and the interactive environment, making an effective modelling and development platform.

This talk looks at optimization functions available in Mathematica.

*Applied Mathematics > Optimization

Optimization, SIAM 100 Digit Challenge

Download (2.4 MB) - ZIP archive [for Mathematica 5.1]