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Full Discussion: Fall through case structure
Top Forums UNIX for Dummies Questions & Answers Fall through case structure Post 302338171 by zaxxon on Monday 27th of July 2009 07:16:48 AM
Old 07-27-2009
Somewhere you will have to call your 2nd function again. I have no automatical "fall through" as you asked before in mind. At least by just calling it by it's name you have at least less overhead.
 

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spline(1)							   User Commands							 spline(1)

NAME
spline - interpolate smooth curve SYNOPSIS
spline [-aknpx] ... DESCRIPTION
spline takes pairs of numbers from the standard input as abcissas and ordinates of a function. It produces a similar set, which is approxi- mately 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). OPTIONS
-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, that is, 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). ATTRIBUTES
See attributes(5) for descriptions of the following attributes: +-----------------------------+-----------------------------+ | ATTRIBUTE TYPE | ATTRIBUTE VALUE | +-----------------------------+-----------------------------+ |Availability |SUNWesu | +-----------------------------+-----------------------------+ SEE ALSO
graph(1), attributes(5) R. W. Hamming, Numerical Methods for Scientists and Engineers, 2nd ed. DIAGNOSTICS
When data is not strictly monotonic in x, spline reproduces the input without interpolating extra points. BUGS
A limit of 1000 input points is enforced silently. SunOS 5.10 14 Sep 1992 spline(1)
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