hide long namesshow long names
hide short namesshow short names
Integer type:  int32  int64  nag_int  show int32  show int32  show int64  show int64  show nag_int  show nag_int

PDF version (NAG web site, 64-bit version, 64-bit version)
Chapter Contents
Chapter Introduction
NAG Toolbox

NAG Toolbox: nag_specfun_arccosh (s11ac)

 Contents

    1  Purpose
    2  Syntax
    7  Accuracy
    9  Example

Purpose

nag_specfun_arccosh (s11ac) returns the value of the inverse hyperbolic cosine, arccoshx, via the function name. The result is in the principal positive branch.

Syntax

[result, ifail] = s11ac(x)
[result, ifail] = nag_specfun_arccosh(x)

Description

nag_specfun_arccosh (s11ac) calculates an approximate value for the inverse hyperbolic cosine, arccoshx. It is based on the relation
arccoshx=lnx+x2-1.  
This form is used directly for 1<x<10k, where k=n/2+1, and the machine uses approximately n decimal place arithmetic.
For x10k, x2-1 is equal to x to within the accuracy of the machine and hence we can guard against premature overflow and, without loss of accuracy, calculate
arccoshx=ln2+lnx.  

References

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

Parameters

Compulsory Input Parameters

1:     x – double scalar
The argument x of the function.
Constraint: x1.0.

Optional Input Parameters

None.

Output Parameters

1:     result – double scalar
The result of the function.
2:     ifail int64int32nag_int scalar
ifail=0 unless the function detects an error (see Error Indicators and Warnings).

Error Indicators and Warnings

Errors or warnings detected by the function:
   ifail=1
The function has been called with an argument less than 1.0, for which arccoshx is not defined. The result returned is zero.
   ifail=-99
An unexpected error has been triggered by this routine. Please contact NAG.
   ifail=-399
Your licence key may have expired or may not have been installed correctly.
   ifail=-999
Dynamic memory allocation failed.

Accuracy

If δ and ε are the relative errors in the argument and result respectively, then in principle
ε x x2-1 arccoshx ×δ .  
That is the relative error in the argument is amplified by a factor at least xx2-1arccoshx  in the result. The equality should apply if δ is greater than the machine precision (δ due to data errors etc.) but if δ is simply a result of round-off in the machine representation it is possible that an extra figure may be lost in internal calculation and round-off. The behaviour of the amplification factor is shown in the following graph:
Figure 1
Figure 1
It should be noted that for x>2 the factor is always less than 1.0. For large x we have the absolute error E in the result, in principle, given by
Eδ.  
This means that eventually accuracy is limited by machine precision. More significantly for x close to 1, x-1δ, the above analysis becomes inapplicable due to the fact that both function and argument are bounded, x1, arccoshx0. In this region we have
Eδ.  
That is, there will be approximately half as many decimal places correct in the result as there were correct figures in the argument.

Further Comments

None.

Example

This example reads values of the argument x from a file, evaluates the function at each value of x and prints the results.
function s11ac_example


fprintf('s11ac example results\n\n');

x = [1   2     5     10];
n = size(x,2);
result = x;

for j=1:n
  [result(j), ifail] = s11ac(x(j));
end

disp('      x        arccosh(x)');
fprintf('%12.3e%12.3e\n',[x; result]);


s11ac example results

      x        arccosh(x)
   1.000e+00   0.000e+00
   2.000e+00   1.317e+00
   5.000e+00   2.292e+00
   1.000e+01   2.993e+00

PDF version (NAG web site, 64-bit version, 64-bit version)
Chapter Contents
Chapter Introduction
NAG Toolbox

© The Numerical Algorithms Group Ltd, Oxford, UK. 2009–2015