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<html> <head><title>General constrained randomization</title></head><body bgcolor="#ffffff"><h3><a name="top"></a>General constrained randomization:<br>Nonlinearity test for unevenly sampled time series</h3><p>The program uses the autocorelationfunction, binned to a given resolution and computed up to a given lag as a costfunction. See the <a href="../surropaper/node25.html">paper</a> for anintroduction. An unevenly sample time series needs to provide two pieces ofinformation, the actual value and the time it was sampled. Thus a two-columnfile is expected. The default is to have the values in the first and the timesin the second column. It can be changed by spcifying <font color=blue><tt>-c </tt></font> with one or two arguments. Th output file <em> always</em> hasthe data first and then the times.<p><font color=blue><tt>randomize_uneven_exp_random<font color=red>-d# -D#</font> [-W#]<br>&nbsp;&nbsp;&nbsp;&nbsp;[-n# -u# -I# -o </tt><em>outfile</em><tt>-l# -x# -c#[,#] -V# -h -T# -a# -S# -s# -z# -C#] </tt><em>file</em></font><blockquote> <br><font color=red><tt> -d </tt></font>time span of one bin <br><font color=red><tt> -D </tt></font>total time spanned<br><font color=blue><tt> -W </tt></font>type of average:          0=max(c), 1=|c|/lag, 2=(c/lag)**2 (default 0)<br> <font color=blue><tt> -n </tt></font>number of surrogates (default 1)<br> <font color=blue><tt> -u </tt></font>improvement factor before write(default 0.9 = if 10% better)<br> <font color=blue><tt> -I </tt></font>seed for random numbers (0)<br><font color=blue><tt> -l </tt></font>maximal number of points to be processed (default all)   <br> <font color=blue><tt>    -x </tt></font>number of values to be skipped (0)    <br> <font color=blue><tt>    -c </tt></font><a href=../general.html#columns>columns to be read</a> (measurements from 1, times from 2)   <br>    <font color=blue><tt>  -o  </tt></font><a href=../general.html#outfile>output file name</a>, just<font color=blue><tt>  -o  </tt></font>means <font color=blue><em>file</em></font><font color=blue><tt>_rnd(_nnn)</tt></font><br> <font color=blue><tt> -V </tt></font><a href=../general.html#verbosity>verbosity level</a> (0 = only fatal errors)<br> <font color=blue><tt> -h </tt></font>show usage message <br> <font color=blue><tt> -T </tt></font>   initial temperature (default: automatic melting)<br> <font color=blue><tt> -a </tt></font>cooling factor (default automatic)<br> <font color=blue><tt> -S </tt></font>   total steps before cooling (default 20000)<br> <font color=blue><tt> -s </tt></font>   successful steps before cooling (default 2000)<br> <font color=blue><tt> -z </tt></font>   minimal successful steps (default 200)<br> <font color=blue><tt> -C </tt></font>   goal value of cost function (default zero)<p>   <a href=../general.html#verbosity>verbosity level</a> (add what you want):<p>      <font color=blue> 	1</font> = input/output<br>   <font color=blue> 	2</font> = current value of cost function upon printable improvement<br>   <font color=blue> 	4</font> = cost mismatch<br>   <font color=blue> 	8</font> = temperature etc. at cooling<br>   <font color=blue>   16</font> = verbose cost if improved<br>   <font color=blue>   32</font> = verbose cost mismatch</blockquote><p><font color=red><b>Note:</b></font> if neither <fontcolor=blue><tt>-a</tt></font> nor <font color=blue><tt>-C</tt></font> aregiven, the annealing will keep starting over with slower cooling rates. Thismay be necessary if good guesses are not available but of course, multiple surrogates will have to be made by further separate calls.<p><a href="randomize.html">Constrained Randomization</a> * <a href="../contents.html">Table of Contents</a> * <a href="../../index.html" target="_top">TISEAN home</a></body></html>

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