NAG Library Function Document

nag_sinh (s10abc)

 Contents

    1  Purpose
    7  Accuracy

1
Purpose

nag_sinh (s10abc) returns the value of the hyperbolic sine, sinhx.

2
Specification

#include <nag.h>
#include <nags.h>
double  nag_sinh (double x, NagError *fail)

3
Description

nag_sinh (s10abc) calculates an approximate value for the hyperbolic sine of its argument, sinhx.
For x1 it uses the Chebyshev expansion
sinhx=x×yt=xr=0arTrt  
where t=2x2-1.
For 1<xE1,  sinhx=12ex-e-x
where E1 is a machine-dependent constant, details of which are given in the Users' Note for your implementation.
For x>E1, the function fails owing to the danger of setting overflow in calculating ex. The result returned for such calls is sinhsignxE1, i.e., it returns the result for the nearest valid argument.

4
References

Abramowitz M and Stegun I A (1972) Handbook of Mathematical Functions (3rd Edition) Dover Publications

5
Arguments

1:     x doubleInput
On entry: the argument x of the function.
2:     fail NagError *Input/Output
The NAG error argument (see Section 3.7 in How to Use the NAG Library and its Documentation).

6
Error Indicators and Warnings

NE_ALLOC_FAIL
Dynamic memory allocation failed.
See Section 2.3.1.2 in How to Use the NAG Library and its Documentation for further information.
NE_INTERNAL_ERROR
An internal error has occurred in this function. Check the function call and any array sizes. If the call is correct then please contact NAG for assistance.
See Section 2.7.6 in How to Use the NAG Library and its Documentation for further information.
NE_NO_LICENCE
Your licence key may have expired or may not have been installed correctly.
See Section 2.7.5 in How to Use the NAG Library and its Documentation for further information.
NE_REAL_ARG_GT
On entry, x=value.
Constraint: xE1.
The function has been called with an argument too large in absolute magnitude. There is a danger of overflow. The result returned is the value of sinhx at the closest argument for which a valid call could be made.

7
Accuracy

If δ and ε are the relative errors in the argument and result, respectively, then in principle
ε xcothx×δ.  
That is the relative error in the argument, x, is amplified by a factor, approximately xcothx. The equality should hold if δ is greater than the machine precision (δ is a result of data errors etc.) but, if δ is simply a result of round-off in the machine representation of x, then it is possible that an extra figure may be lost in internal calculation round-off.
The behaviour of the error amplification factor can be seen in the following graph:
Figure 1
Figure 1
It should be noted that for x2 
εxδ=Δ  
where Δ is the absolute error in the argument.

8
Parallelism and Performance

nag_sinh (s10abc) is not threaded in any implementation.

9
Further Comments

None.

10
Example

This example reads values of the argument x from a file, evaluates the function at each value of x and prints the results.

10.1
Program Text

Program Text (s10abce.c)

10.2
Program Data

Program Data (s10abce.d)

10.3
Program Results

Program Results (s10abce.r)

© The Numerical Algorithms Group Ltd, Oxford, UK. 2017