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Symbolic and Numerical Optimization in Mathematica: from Prototyping to Production
Author

Yifan Hu
Organization: Wolfram Research, Inc.
Revision date

2005-06-02
Description

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.
Subject

*Applied Mathematics > Optimization
Keywords

Optimization, SIAM 100 Digit Challenge
Downloads

Download
SIAM2005optimize.zip (2.4 MB) - ZIP archive [for Mathematica 5.1]