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author | Taco Hoekwater <taco@elvenkind.com> | 2014-05-22 08:19:49 +0000 |
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committer | Taco Hoekwater <taco@elvenkind.com> | 2014-05-22 08:19:49 +0000 |
commit | 0ce206cd6c8efe5299640ca9c0ffdf9c0fbc9138 (patch) | |
tree | 353e7812584ab99953f0bb62bdec5f72dfb17481 /Master | |
parent | b064bcd0694381f3a2549fcb61b1d42247a67bab (diff) |
updated metapost manual
git-svn-id: svn://tug.org/texlive/trunk@34194 c570f23f-e606-0410-a88d-b1316a301751
Diffstat (limited to 'Master')
-rw-r--r-- | Master/texmf-dist/doc/metapost/base/source-manual/mpman-app-numbersystems.tex | 98 |
1 files changed, 98 insertions, 0 deletions
diff --git a/Master/texmf-dist/doc/metapost/base/source-manual/mpman-app-numbersystems.tex b/Master/texmf-dist/doc/metapost/base/source-manual/mpman-app-numbersystems.tex new file mode 100644 index 00000000000..23d3dce7cf9 --- /dev/null +++ b/Master/texmf-dist/doc/metapost/base/source-manual/mpman-app-numbersystems.tex @@ -0,0 +1,98 @@ +\svnInfo $Id: mpman-app-numbersystems.tex 2023 2014-05-21 08:47:19Z stephanhennig $ +\section{High-precision arithmetic with MetaPost} +\label{hparith} + +In addition to the fixed-point arithmetics inherited from \MF, MetaPost +can also do higher-precision arithmetics. In total, MetaPost can handle +numeric quantities in four internal representation formats or number +systems. Number systems differ in rounding errors\index{rounding error} +introduced by and the speed of arithmetic operations. Simply storing a +numeric value in a variable may already introduce a rounding error, so +that can already be considered an arithmetic operation. + +The internal representation format used for numeric quantities can be +determined by a command-line switch +\texttt{-numbersystem}\index{command-line!mpost?\texttt{mpost}!-numbersystem?\texttt{-numbersystem}} +when invoking the MetaPost executable. Argument is a string and can be +one of \texttt{scaled}, \texttt{double}, \texttt{binary}, or +\texttt{decimal}. The argument is stored in an internal string variable +\texttt{numbersystem}\index{numbersystem?\texttt{numbersystem}}\label{Dnumbersystem}. +Assigning a value to this variable at run-time triggers an error. + +The \texttt{scaled}\index{scaled?\texttt{scaled}} number system refers +to 32~bit fixed-point arithmetics described in Section~\ref{datatypes}. +This is the default number system. Precision is ca. 10~decimal digits, +5 digits before and after the comma. All arithmetic operations are done +in software. + +The \texttt{double}\index{double?\texttt{double}} number system does +IEEE standard floating-point arithmetics with 64~bits (or double) +precision. In the internal representation, double floating-point +numbers use $52+1$~bits for the mantissa, which determines precision, +11~bits for the exponent, which determines the valid range of numbers, +and one bit for the sign. The smallest absolute value that can be +represented is ca. $2.2\cdot10^{-308}$, the largest value is +ca. $1.8\cdot10^{308}$. The 53~bit mantissa makes for a precision of +ca. 15 decimal digits. The smallest possible difference between two +distinct numbers in double floating-point number representation is +$2^{-53} \approx 1.1\cdot10^{-16}$. The largest integer value that can +be represented exactly is $2^{53}-1 \approx 9,0\cdot10^{15}$. Variable +\texttt{warningcheck}\index{warningcheck?\texttt{warningcheck}} is set +to $2^{52}$ in \texttt{double} mode. Arithmetic operations make use of +a hardware floating-point unit (FPU), if available. + +While the IEEE double precision floating-point format provides plenty +room for storing numeric values, still, precision and range are finite +and fix. For users that need higher precision or range, MetaPost +provides support for (almost) arbitrary precision floating-point +arithmetics. The \texttt{binary}\index{binary?\texttt{binary}} number +system is similar to the \texttt{double} number system, except that the +number of bits used for the mantissa is not fixed, but variable. +Precision is determined by an internal variable +\texttt{numberprecision}\index{numberprecision?\texttt{numberprecision}}\label{Dnumberprecision} +in decimal digits. Valid numbers are in the range 1 to 1000. Higher +values make for better precision at the expense of performance of +arithmetic operations. Default precision is 34~decimal digits +(ca. 113~bits in the mantissa). Exponent in the internal representation +is an integer in the range $[-9,999,999; +9,999,999]$. All arithmetic +operations are done in software using the MPFR library~\cite{lib:mpfr} +and are usually orders of magnitude slower than in \texttt{double} mode. + +Number system \texttt{decimal}\index{decimal?\texttt{decimal}} provides +arbitrary precision floating-point arithmetics similar to the +\texttt{binary} number system. Except that it uses a base of~10 for the +internal representation instead of a base of~2. The point is that with +base~2 floating-point numbers some decimal numbers cannot be represented +exactly, among them such strange numbers like $0.1$. In a base~2 +floating-point number format, this value has an infinit repeating +representation, which cannot be stored in a mantissa of finite precision +without introducing a rounding error. While such initial errors may be +small, they use to accummulate when doing calculations. Sometimes +increasing precision by switching from \texttt{double} to +\texttt{binary} mode is sufficient to get satisfying results again. On +the other hand, there's a demand for doing calculations exactly like +humans do with pencil and paper, e.g., for certain financial +calculations. The only way to ensure exact result is switching base of +the internal representation to~10. Again, precision can be determined +by assigning a value to variable +\texttt{numberprecision}\index{numberprecision?\texttt{numberprecision}}. +Valid numbers are in the range 1 to 1000. Default precision is +34~decimal digits. Exponent in the internal representation is an +integer in the range $[-9,999,999; +9,999,999]$. All arithmetic +operations are done in software using the decNumber +library~\cite{lib:decnumber} and are usually slower than in +\texttt{binary} mode. + +In all number systems except the traditional fixed-point +(\texttt{scaled}) number system, numbers can be given in scientific +notation, i.e., input like \texttt{1.23e4} is interpreted as the value +$12,300$ instead of the product of the numeric value $1.23$ and (array) +variable \verb|e[4]|. + + + +%%% Local Variables: +%%% mode: latex +%%% TeX-PDF-mode: t +%%% TeX-master: "mpman" +%%% End: |