2-1.tex
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人工智能/神经网络
开发平台:
Visual C++
- documentclass{article}
- oddsidemargin=0cm
- evensidemargin=0cm
- textwidth=14.8 true cm
- textheight=23.2 true cm
- def x{{mbox{boldmath $x$}}}
- def y{{mbox{boldmath $y$}}}
- def a{{mbox{boldmath $a$}}}
- def d{{mbox{boldmath $d$}}}
- def p{{mbox{boldmath $p$}}}
- def r{{mbox{boldmath $r$}}}
- def t{{mbox{boldmath $t$}}}
- def w{{mbox{boldmath $w$}}}
- def fx{{mbox{boldmath $tilde x$}}}
- def fy{{mbox{boldmath $tilde y$}}}
- def hxi{{mbox{boldmath $xi$}}}
- def heta{{mbox{boldmath $eta$}}}
- def htau{{mbox{boldmath $tau$}}}
- def Pos{{rm Pos}}
- def Ch{{rm Ch}}
- %fonteuler=EUSM10
- begin{document}
- noindent Liu B., {em Uncertain Programming}, John Wiley & Sons, New York, 1999
- vskip 1.5cm
- noindent {bf Example 2.1} This example is related to maximizing a function over a nonconvex set,
- $$left{begin{array}{l}
- max f(x)=displaystylefrac{x_1^2x_2x_3^2}{2x_1^3x_3^2+3x_1^2x_2^2
- +2x_2^2x_3^3+x_1^3x_2^2x_3^2}\[0.3 cm]
- mbox{subject to:}\[0.1 cm]
- qquad x_1^2+x_2^2+x_3^2ge 1\[0.1 cm]
- qquad x_1^2+x_2^2+x_3^2le 4\[0.1 cm]
- qquad x_1,x_2,x_3> 0.
- end{array}right.$$
- end{document}