MINOTAUR

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| subject to  || <math>g_i(x,y)  \leq 0 \,</math> || for <math>i = 1, ..., m \,</math>  
 
| subject to  || <math>g_i(x,y)  \leq 0 \,</math> || for <math>i = 1, ..., m \,</math>  
 
|-
 
|-
|                  || <math> x \in X \; y \in Y</math> integer ||
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|                  || <math> x \in X \; y \in Y</math> integer, ||
 
|}
 
|}
 
where <math>f(x,y), g_i(x,y)</math> are smooth functions of the continuous variables <math>x</math> and the integer variables <math>y</math>.
 
where <math>f(x,y), g_i(x,y)</math> are smooth functions of the continuous variables <math>x</math> and the integer variables <math>y</math>.

Latest revision as of 16:39, 2 November 2011

Welcome to the MINOTAUR wiki page.

[edit] Introduction

MINOTAUR is a toolkit for solving mixed-integer nonlinear optimization problems of the form

minimize f(x,y)
subject to g_i(x,y)  \leq 0 \, for i = 1, ..., m \,
 x \in X \; y \in Y integer,

where f(x,y), g_i(x,y) are smooth functions of the continuous variables x and the integer variables y.

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