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NAG Library Function Document

nag_quad_1d_gauss_recm (d01tec)

▸▿ Contents

1 Purpose

2 Specification

3 Description

4 References

5 Arguments

6 Error Indicators and Warnings

7 Accuracy

8 Parallelism and Performance

9 Further Comments

▸▿ 10 Example

10.1 Program Text

10.2 Program Data

10.3 Program Results

1 Purpose

Given the

2 n + l

moments of the weight function, nag_quad_1d_gauss_recm (d01tec) generates the recursion coefficients needed by nag_quad_1d_gauss_wrec (d01tdc) to calculate a Gaussian quadrature rule.

2 Specification

#include <nag.h>

#include <nagd01.h>

void	nag_quad_1d_gauss_recm (Integer n, const double mu[], double a[], double b[], double c[], NagError *fail)

3 Description

nag_quad_1d_gauss_recm (d01tec) should only be used if the three-term recurrence cannot be determined analytically. A system of equations are formed, using the moments provided. This set of equations becomes ill-conditioned for moderate values of

n

, the number of abscissae and weights required. In most implementations quadruple precision calculation is used to maintain as much accuracy as possible.

4 References

Golub G H and Welsch J H (1969) Calculation of Gauss quadrature rules Math. Comput. 23 221–230

5 Arguments

1: $n$ – IntegerInput: On entry: $n$ , the number of weights and abscissae required.

Constraint: $n > 0$ .
2: $mu [0 : 2 * n]$ – const doubleInput: On entry: $mu (i)$ must contain the value of the moment with respect to $x^{i}$ i.e., $\int w (x) x^{i} d x$ , for $i = 0, 1, \dots, 2 n$ .
3: $a [n]$ – doubleOutput: On exit: values helping define the three term recurrence used by nag_quad_1d_gauss_wrec (d01tdc).
4: $b [n]$ – doubleOutput: On exit: values helping define the three term recurrence used by nag_quad_1d_gauss_wrec (d01tdc).
5: $c [n]$ – doubleOutput: On exit: values helping define the three term recurrence used by nag_quad_1d_gauss_wrec (d01tdc).
6: $fail$ – NagError *Input/Output: The NAG error argument (see Section 2.7 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_BAD_PARAM: On entry, argument $〈value〉$ had an illegal value.
NE_DATA_ILL_CONDITIONED: The problem is too ill conditioned, it breaks down at row $〈value〉$ .
NE_INT: The number of weights and abscissae requested (n) is less than $1$ : $n = 〈value〉$ .
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.

An unexpected error has been triggered by this function. Please contact NAG.
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.

7 Accuracy

Internally quadruple precision is used to minimize loss of accuracy as much as possible.

8 Parallelism and Performance

nag_quad_1d_gauss_recm (d01tec) is not threaded in any implementation.

9 Further Comments

Because the function cannot check the validity of all the data presented, the user is advised to independently check the result, perhaps by integrating a function whose integral is known, using nag_quad_1d_gauss_recm (d01tec) and subsequently nag_quad_1d_gauss_wrec (d01tdc), to compare answers.

10 Example

This example program uses nag_quad_1d_gauss_recm (d01tec) and moments to calculate a three-term recurrence relationship appropriate for Gauss–Legendre quadrature. It then uses the recurrence relationship to derive the weights and abscissae by calling nag_quad_1d_gauss_wrec (d01tdc).