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monotone-viz(1) [debian man page]

MONOTONE-VIZ(1) 						   User Commands						   MONOTONE-VIZ(1)

monotone-viz - visualize a monotone repository SYNOPSIS
View the monotone repository, DB, at the specified BRANCH and REVISION. DB, BRANCH, and REVISION default to the values in MT/options and MT/revision. -noaa don't use an anti-aliased canvas --help display this help and exit --version output version information and exit FILES
MT/options The default database and branch are stored in this file. MT/revision The default revision is stored in this file. COPYRIGHT
Copyright 2006 Olivier Andrieu AUTHOR
Written by Olivier Andrieu <>. This manual page was written by Shaun Jackman <> for the Debian system. REPORTING BUGS
Report bugs to <>. SEE ALSO
monotone(1) monotone-viz 0.14 March 2006 MONOTONE-VIZ(1)

Check Out this Related Man Page

SPLINE(1G)																SPLINE(1G)

spline - interpolate smooth curve SYNOPSIS
spline [ option ] ... DESCRIPTION
Spline takes pairs of numbers from the standard input as abcissas and ordinates of a function. It produces a similar set, which is approx- imately equally spaced and includes the input set, on the standard output. The cubic spline output (R. W. Hamming, Numerical Methods for Scientists and Engineers, 2nd ed., 349ff) has two continuous derivatives, and sufficiently many points to look smooth when plotted, for example by graph(1). The following options are recognized, each as a separate argument. -a Supply abscissas automatically (they are missing from the input); spacing is given by the next argument, or is assumed to be 1 if next argument is not a number. -k The constant k used in the boundary value computation (2nd deriv. at end) = k*(2nd deriv. next to end) is set by the next argument. By default k = 0. -n Space output points so that approximately n intervals occur between the lower and upper x limits. (Default n = 100.) -p Make output periodic, i.e. match derivatives at ends. First and last input values should normally agree. -x Next 1 (or 2) arguments are lower (and upper) x limits. Normally these limits are calculated from the data. Automatic abcissas start at lower limit (default 0). SEE ALSO
When data is not strictly monotone in x, spline reproduces the input without interpolating extra points. BUGS
A limit of 1000 input points is enforced silently. SPLINE(1G)
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