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test

Int Sta Ide

How To Install Ubuntu Desktop On VM Ware Under Windows XP

If A is a symmetric matrix, the optimization problem \argmax_{x} \frac{x^T A x}{x^Tx} = u_{max}

is solved by finding the eigenvector u_{max} corresponding to the largest eigenvalue of A: \begin{equation} A u_i =\lambda_i u_i \end{equation} where $\frac{u_{max}^T A u_{max}}{u_{max}^Tu_{max}} = \lambda_{max}$ is the eigenvalue corresponding to the eigenvector u_{max}.

{$ \begin{equation}\label{generalEig} A u_i =\lambda_i u_i \end{equation}$}

Rayleigh-Ritz quotient maximization by the largest eigenvector

http://www.pmwiki.org/wiki/Cookbook/WikiStylesPlus

www.cs.brown.edu/~th/papers/Hofmann-SIGIR 99?.pdf

http://people.csail.mit.edu/torralba/iccv2005/

Good Quotes

Nice Photos

die frames hast du ja gut hinbekommen happy smiley sieht gleich viel besser aus. liebe grüße aus dem saarland happy smiley

anti spam test... worked

frankreich, parser für französisch

vietnam angkor wat

a1 b1 c1 d1
a2 b2 c2 d2

nice

{$\array{CCC$\Large f=b_\0+\frac{a_\1}{b_\1+\frac{a_2}{b_2+\frac{a_3}{b_3+a_4}}} & \
  \hspace{10} {\small\rm{Notes and\atop mimeTeX Sandbox}} \hspace{10} } \
  \Large \scrJ^{ij}=\frac12\vareps_{ijk}\[\array{cc$\sig_k&0\\0&\sig_k}\] $}

gives you that:

\array{CCC$\Large f=b_\0+\frac{a_\1}{b_\1+\frac{a_2}{b_2+\frac{a_3}{b_3+a_4}}} &   \hspace{10} {\small\rm{Notes and\atop mimeTeX Sandbox}} \hspace{10} }   \Large \scrJ^{ij}=\frac12\vareps_{ijk}\[\array{cc$\sig_k&0\\0&\sig_k}\]

\frac{3}{5}

\frac{asd}{asd}

\frac{asd}{199}

S_{++}^n

\frac{123}{199}

The Parser?

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