Outer-approximation (OA): Difference between revisions
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minimize <math> f(x)= y_{1} +y_{2} + \big(x_{1}\big)^{2} +\big(x_{2}\big)^{2} </math> | minimize <math> f(x)= y_{1} +y_{2} + \big(x_{1}\big)^{2} +\big(x_{2}\big)^{2} </math> | ||
subject to | subject to <math>\big(x_{1}-2\big)^{2}-x_{2} \leq 0</math> | ||
<math>x_{1}-2y_{1} \geq 0 </math> | |||
==Conclusion== | ==Conclusion== | ||
==References== | ==References== | ||
Revision as of 02:59, 26 November 2021
Author: Yousef Aloufi (CHEME 6800 Fall 2021)
Introduction
Theory
Example
minimize
subject to
