# spline(1g) [bsd man page]

```SPLINE(1G)																SPLINE(1G)

NAME
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(1G).

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).

graph(1G), plot(1G)

DIAGNOSTICS
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.

7th Edition							  April 29, 1985							SPLINE(1G)```

## Check Out this Related Man Page

```SPLINE(1G)																SPLINE(1G)

NAME
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).

graph(1)

DIAGNOSTICS
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)```
Man Page

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