nag_cosh (s10acc) (PDF version)
s Chapter Contents
s Chapter Introduction
NAG Library Manual

NAG Library Function Document

nag_cosh (s10acc)

+ Contents

    1  Purpose
    7  Accuracy

1  Purpose

nag_cosh (s10acc) returns the value of the hyperbolic cosine, coshx.

2  Specification

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

3  Description

nag_cosh (s10acc) calculates an approximate value for the hyperbolic cosine, coshx.
For xE1,  coshx=12ex+e-x.
For x>E1, the function fails owing to danger of setting overflow in calculating ex. The result returned for such calls is coshE1, i.e., it returns the result for the nearest valid argument. The value of machine-dependent constant E1 may be given in the Users' Note for your implementation.

4  References

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

5  Arguments

1:     xdoubleInput
On entry: the argument x of the function.
2:     failNagError *Input/Output
The NAG error argument (see Section 3.6 in the Essential Introduction).

6  Error Indicators and Warnings

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.
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 coshx at the nearest valid argument.

7  Accuracy

If δ and ε are the relative errors in the argument and result, respectively, then in principle
εxtanhx×δ.
That is, the relative error in the argument, x, is amplified by a factor, at least xtanhx. The equality should hold if δ is greater than the machine precision (δ is due to 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 is shown by the following graph:
Figure 1
Figure 1
It should be noted that near x=0 where this amplification factor tends to zero the accuracy will be limited eventually by the machine precision. Also for x2 
εxδ=Δ
where Δ is the absolute error in the argument x.

8  Parallelism and Performance

Not applicable.

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 (s10acce.c)

10.2  Program Data

Program Data (s10acce.d)

10.3  Program Results

Program Results (s10acce.r)


nag_cosh (s10acc) (PDF version)
s Chapter Contents
s Chapter Introduction
NAG Library Manual

© The Numerical Algorithms Group Ltd, Oxford, UK. 2014