# Difference: TestPageForCommand (1 vs. 4)

#### Revision 42017-09-25 - KojiNakamura

Line: 1 to 1

 META TOPICPARENT name="WebHome"

#### Revision 32016-06-05 - KojiNakamura

Line: 1 to 1

 META TOPICPARENT name="WebHome"

## Image Gallery Plugin

Changed:
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<
 DSC_0783 DSC_1033 DSC_1209
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 DSC_0783 DSC_1033 DSC_1209

## Action Items Plugin

#### Revision 22016-04-01 - KojiNakamura

Line: 1 to 1

 META TOPICPARENT name="WebHome"

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>

## Image Gallery Plugin

 DSC_0783 DSC_1033 DSC_1209

## Action Items Plugin

Due date Description State
2017-02-10 Write Master thersis edit

## Latex Plugin

This is an example of the %BEGINLATEX{inline="1" density="200" gamma="1.0" color="Purple"}%\LaTeX%ENDLATEX% rendering possibilities using the LatexModePlugin.

Changed:
<
<
The singular value decomposition of a matrix is defined as %BEGINLATEX{label="one" color="Green"}% \begin{displaymath} A = U \Sigma V^H \end{displaymath} %ENDLATEX% where and are both matrices with orthonormal columns, indicates a complex-conjugate transpose, and is a diagonal matrix with singular values along the main diagonal. Eq. %REFLATEX{one}% is just one of the many matrix decompositions that exists for matrix .
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The singular value decomposition of a matrix is defined as %BEGINLATEX{label="one" color="Green"}% \begin{displaymath} A = U \Sigma V^H \end{displaymath} %ENDLATEX% where and are both matrices with orthonormal columns, indicates a complex-conjugate transpose, and is a diagonal matrix with singular values along the main diagonal. Eq. %REFLATEX{one}% is just one of the many matrix decompositions that exists for matrix .

## Math Plugin

Line: 43 to 50
\sum_{i_1, i_2, \ldots, i_n} \pi * i + \sigma
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 META FILEATTACHMENT attachment="DSC_1033.JPG" attr="" comment="" date="1459488444" name="DSC_1033.JPG" path="DSC_1033.JPG" size="4239307" user="KojiNakamura" version="1" attachment="DSC_1209.JPG" attr="" comment="" date="1459488443" name="DSC_1209.JPG" path="DSC_1209.JPG" size="3991054" user="KojiNakamura" version="1" attachment="DSC_0783.JPG" attr="" comment="" date="1459488533" name="DSC_0783.JPG" path="DSC_0783.JPG" size="3244970" user="KojiNakamura" version="1"

#### Revision 12016-04-01 - KojiNakamura

Line: 1 to 1
>
>
 META TOPICPARENT name="WebHome"

## Latex Plugin

This is an example of the %BEGINLATEX{inline="1" density="200" gamma="1.0" color="Purple"}%\LaTeX%ENDLATEX% rendering possibilities using the LatexModePlugin.

The singular value decomposition of a matrix is defined as %BEGINLATEX{label="one" color="Green"}% \begin{displaymath} A = U \Sigma V^H \end{displaymath} %ENDLATEX% where and are both matrices with orthonormal columns, indicates a complex-conjugate transpose, and is a diagonal matrix with singular values along the main diagonal. Eq. %REFLATEX{one}% is just one of the many matrix decompositions that exists for matrix .

## Math Plugin

The following will only display correctly if this plugin is installed and configured correctly.

\int_{-\infty}^\infty e^{-\alpha x^2} dx = \sqrt{\frac{\pi}{\alpha}}

\int_{-\infty}^\infty e^{-\alpha x^2} dx = \sqrt{\frac{\pi}{\alpha}}

{\cal P} & = & \{f_1, f_2, \ldots, f_m\} \ {\cal C} & = & \{c_1, c_2, \ldots, c_m\} \ {\cal N} & = & \{n_1, n_2, \ldots, n_m\}

{\cal P} & = & \{f_1, f_2, \ldots, f_m\} \ {\cal C} & = & \{c_1, c_2, \ldots, c_m\} \ {\cal N} & = & \{n_1, n_2, \ldots, n_m\}

\cal A, B, C, D, E, F, G, H, I, J, K, L, M, \ \cal N, O, P, Q, R, S, T, U, V, W, X, Y, Z

\cal A, B, C, D, E, F, G, H, I, J, K, L, M, \ \cal N, O, P, Q, R, S, T, U, V, W, X, Y, Z

\sum_{i_1, i_2, \ldots, i_n} \pi * i + \sigma

\sum_{i_1, i_2, \ldots, i_n} \pi * i + \sigma

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