Computes integrals of the form

in the Cauchy principal value sense.
#include <imsl.h>
float imsl_f_int_fcn_cauchy (float fcn(), float a, float b, float c, ¼, 0)
The type double function is imsl_d_int_fcn_cauchy.
float fcn
(float
x)
(Input)
User-supplied function to be integrated.
float a
(Input)
Lower limit of integration.
float b
(Input)
Upper limit of integration.
float c
(Input)
Singular point, c must not equal a or b.
The value of

is returned. If no value can be computed, NaN is returned.
#include <imsl.h>
float
imsl_f_int_fcn_cauchy (float
fcn(),
float
a,
float
b,
float
c,
IMSL_ERR_ABS, float
err_abs,
IMSL_ERR_REL, float
err_rel,
IMSL_ERR_EST, float
*err_est,
IMSL_MAX_SUBINTER, int
max_subinter,
IMSL_N_SUBINTER, int
*n_subinter,
IMSL_N_EVALS, int
*n_evals,
IMSL_FCN_W_DATA, float
fcn(),
void *data,
0)
IMSL_ERR_ABS, float err_abs
(Input)
Absolute accuracy desired.
Default: 
where ɛ is the machine precision
IMSL_ERR_REL, float err_rel
(Input)
Relative accuracy desired.
Default: 
where ɛ is the machine precision
IMSL_ERR_EST, float *err_est
(Output)
Address to store an estimate of the absolute value of the error.
IMSL_MAX_SUBINTER, int
max_subinter (Input)
Number of subintervals
allowed.
Default: max_subinter = 500
IMSL_N_SUBINTER, int
*n_subinter (Output)
Address to store the number of
subintervals generated.
IMSL_N_EVALS, int *n_evals
(Output)
Address to store the number of evaluations of fcn.
IMSL_FCN_W_DATA, float fcn
(float x, void *data), void *data (Input)
User
supplied function to be integrated, which also accepts a pointer to data that is
supplied by the user. data is a pointer to
the data to be passed to the user-supplied function. See the Introduction, Passing Data to
User-Supplied Functions at the beginning of this manual for more
details.
The function imsl_f_int_fcn_cauchy uses a globally adaptive scheme in an attempt to reduce the absolute error. It computes integrals whose integrands have the special form w(x)f(x) where w(x) = 1∕(x − c). If c lies in the interval of integration, then the integral is interpreted as a Cauchy principal value. A combination of modified Clenshaw-Curtis and Gauss-Kronrod formulas are employed.
The function imsl_f_int_fcn_cauchy is an implementation of the subroutine QAWC by Piessens et al. (1983).
The Cauchy principal value of

is computed.
#include <math.h>
#include
<imsl.h>
float
fcn(float x);
main()
{
float q,
exact;
/*
Evaluate the integral */
q = imsl_f_int_fcn_cauchy (fcn,
-1.0, 5.0, 0.0,
0);
/* Print the result and the
*/
/* exact answer */
exact =
log(125./631.)/18.;
printf("integral =
%10.3f\nexact = %10.3f\n", q, exact);
}
float
fcn(float x)
{
return
1.0/(5.0*x*x*x+6.0);
}
integral =
-0.090
exact = -0.090
The Cauchy principal value of

is again computed. The values of the actual and estimated
error are printed as well. Note that these numbers are machine dependent.
Furthermore, the error estimate is usually pessimistic. That is, the actual
error is usually smaller than the error estimate,
as is the case in this
example. The number of function evaluations also are printed.
#include <math.h>
#include
<imsl.h>
float
fcn(float x);
main()
{
int
n_evals;
float q,
exact, err_est,
exact_err;
/* Evaluate the integral */
q = imsl_f_int_fcn_cauchy
(fcn, -1.0, 5.0, 0.0,
IMSL_ERR_EST, &err_est,
IMSL_N_EVALS,
&n_evals,
0);
/* Print the result and the
*/
/* exact answer */
exact =
log(125./631.)/18.;
exact_err = fabs(exact -
q);
printf("integral =
%10.3f\nexact = %10.3f\n", q,
exact);
printf("error estimate = %e\nexact
error = %e\n",
err_est,
exact_err);
printf("The number of function
evaluations = %d\n", n_evals);
}
float fcn(float
x)
{
return
1.0/(5.0*x*x*x+6.0);
}
integral =
-0.090
exact =
-0.090
error estimate = 2.160174e-06
exact
error = 0.000000e+00
The number of function
evaluations = 215
IMSL_ROUNDOFF_CONTAMINATION Roundoff error, preventing the requested tolerance from being achieved, has been detected.
IMSL_PRECISION_DEGRADATION A degradation in precision has been detected.
IMSL_MAX_SUBINTERVALS The maximum number of subintervals allowed has been reached.
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