%!TEX root = report.tex % \chapter{The Diderot Basis Environment} \label{chap:basis} \section{Overloaded operators} \section{Other operators} \section{Functions} \newcommand{\FNSPEC}[3]{\item[\normalfont\texttt{#1} : \texttt{#2} ${\rightarrow}$ \texttt{#3}]\mbox{}\\} \begin{description} \FNSPEC{CL}{}{} \FNSPEC{convolve}{}{} \FNSPEC{cos}{\kw{real}}{\kw{real}} returns the cosine of its argument. \FNSPEC{dot}{}{} \FNSPEC{inside}{}{} \FNSPEC{load}{}{} \FNSPEC{max}{(\kw{real}, \kw{real})}{\kw{real}} returns the minimum of its two arguments. \FNSPEC{min}{(\kw{real}, \kw{real})}{\kw{real}} returns the maximum of its two arguments. \FNSPEC{modulate}{}{} \FNSPEC{pow}{(\kw{real}, \kw{real})}{\kw{real}} returns the first argument raised to the power of the second argument. \FNSPEC{principleEvec}{}{} \FNSPEC{sin}{\kw{real}}{\kw{real}} returns the sine of its argument. \end{description}% \section{Kernels} Diderot knows about a number of standard convolution kernels, which are described in the following table: \begin{center} \begin{tabular}{r@{ \texttt{:} }lp{3.5in}} \multicolumn{2}{c}{\textbf{Specification}} & \textbf{Description} \\ \hline \texttt{bspln3} & \kw{kernel\#}\texttt{2} & cubic bspline reconstruction (does not interpolate) \\ \texttt{bspln5} & \kw{kernel\#}\texttt{4} & quintic bspline reconstruction (does not interpolate) \\ \texttt{ctmr} & \kw{kernel\#}\texttt{2} & Catmull-Rom interpolation \\ \texttt{tent} & \kw{kernel\#}\texttt{0} & linear interpolation \\ \hline \end{tabular}% \end{center}%
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The output has ended thus: xttt{tent} & \kw{kernel\#}\texttt{0} & linear interpolation \\ \hline \end{tabular}% \end{center}%