d01al Method
関数リスト一覧   NagLibrary Namespaceへ  ライブラリイントロダクション  本ヘルプドキュメントのchm形式版

d01al is a general purpose integrator which calculates an approximation to the integral of a function fx over a finite interval a,b:
I= ab fx dx
where the integrand may have local singular behaviour at a finite number of points within the integration interval.

Syntax

C#
public static void d01al(
	D01..::.D01AL_F f,
	double a,
	double b,
	int npts,
	double[] points,
	double epsabs,
	double epsrel,
	out double result,
	out double abserr,
	double[] w,
	out int subintvls,
	out int ifail
)
Visual Basic (Declaration)
Public Shared Sub d01al ( _
	f As D01..::.D01AL_F, _
	a As Double, _
	b As Double, _
	npts As Integer, _
	points As Double(), _
	epsabs As Double, _
	epsrel As Double, _
	<OutAttribute> ByRef result As Double, _
	<OutAttribute> ByRef abserr As Double, _
	w As Double(), _
	<OutAttribute> ByRef subintvls As Integer, _
	<OutAttribute> ByRef ifail As Integer _
)
Visual C++
public:
static void d01al(
	D01..::.D01AL_F^ f, 
	double a, 
	double b, 
	int npts, 
	array<double>^ points, 
	double epsabs, 
	double epsrel, 
	[OutAttribute] double% result, 
	[OutAttribute] double% abserr, 
	array<double>^ w, 
	[OutAttribute] int% subintvls, 
	[OutAttribute] int% ifail
)
F#
static member d01al : 
        f:D01..::.D01AL_F * 
        a:float * 
        b:float * 
        npts:int * 
        points:float[] * 
        epsabs:float * 
        epsrel:float * 
        result:float byref * 
        abserr:float byref * 
        w:float[] * 
        subintvls:int byref * 
        ifail:int byref -> unit 

Parameters

f
Type: NagLibrary..::.D01..::.D01AL_F
f must return the value of the integrand f at a given point.

A delegate of type D01AL_F.

a
Type: System..::.Double
On entry: a, the lower limit of integration.
b
Type: System..::.Double
On entry: b, the upper limit of integration. It is not necessary that a<b.
npts
Type: System..::.Int32
On entry: the number of user-supplied break points within the integration interval.
Constraint: npts0 and npts<min lw-2×npts-4 / 4 , liw-npts-2 / 2 .
points
Type: array< System..::.Double >[]()[]
An array of size [dim1]
Note: the dimension of the array points must be at least max1,npts.
On entry: the user-specified break points.
Constraint: the break points must all lie within the interval of integration (but may be supplied in any order).
epsabs
Type: System..::.Double
On entry: the absolute accuracy required. If epsabs is negative, the absolute value is used. See [Accuracy].
epsrel
Type: System..::.Double
On entry: the relative accuracy required. If epsrel is negative, the absolute value is used. See [Accuracy].
result
Type: System..::.Double %
On exit: the approximation to the integral I.
abserr
Type: System..::.Double %
On exit: an estimate of the modulus of the absolute error, which should be an upper bound for I-result.
w
Type: array< System..::.Double >[]()[]
An array of size [lw]
Note: lw must satisfy the constraint: lw2×npts+8
On exit: details of the computation, as described in [Further Comments].
subintvls
Type: System..::.Int32 %
On exit: subintvls contains the actual number of sub-intervals used.
ifail
Type: System..::.Int32 %
On exit: ifail=0 unless the method detects an error (see [Error Indicators and Warnings]).

Description

d01al is based on the QUADPACK routine QAGP (see Piessens et al. (1983)). It is very similar to d01aj, but allows you to supply ‘break points’, points at which the integrand is known to be difficult. It employs an adaptive algorithm, using the Gauss 10-point and Kronrod 21-point rules. The algorithm, described in de Doncker (1978), incorporates a global acceptance criterion (as defined by Malcolm and Simpson (1976)) together with the ε-algorithm (see Wynn (1956)) to perform extrapolation. The user-supplied ‘break points’ always occur as the end points of some sub-interval during the adaptive process. The local error estimation is described in Piessens et al. (1983).

References

Error Indicators and Warnings

Note: d01al may return useful information for one or more of the following detected errors or warnings.
Errors or warnings detected by the method:
Some error messages may refer to parameters that are dropped from this interface (lw, iw, liw, iuser, ruser) In these cases, an error in another parameter has usually caused an incorrect value to be inferred.
ifail=1
ifail=2
Round-off error prevents the requested tolerance from being achieved. Consider requesting less accuracy.
ifail=3
Extremely bad local integrand behaviour causes a very strong subdivision around one (or more) points of the interval. The same advice applies as in the case of ifail=1.
ifail=4
The requested tolerance cannot be achieved because the extrapolation does not increase the accuracy satisfactorily; the returned result is the best which can be obtained. The same advice applies as in the case of ifail=1.
ifail=5
ifail=6
ifail=-8000
ifail=-6000

Accuracy

d01al cannot guarantee, but in practice usually achieves, the following accuracy:
I-resulttol,
where
tol=maxepsabs,epsrel×I ,
and epsabs and epsrel are user-specified absolute and relative error tolerances. Moreover, it returns the quantity abserr which, in normal circumstances, satisfies
I-resultabserrtol.

Further Comments

The time taken by d01al depends on the integrand and the accuracy required.
If ifail0 on exit, then you may wish to examine the contents of the array w, which contains the end points of the sub-intervals used by d01al along with the integral contributions and error estimates over these sub-intervals.
Specifically, for i=1,2,,n, let ri denote the approximation to the value of the integral over the sub-interval ai,bi  in the partition of a,b  and ei  be the corresponding absolute error estimate. Then, ai bi fx dx ri  and result = i=1 n ri  unless d01al terminates while testing for divergence of the integral (see Section 3.4.3 of Piessens et al. (1983)). In this case, result (and abserr) are taken to be the values returned from the extrapolation process. The value of n is returned in iw[0], and the values ai, bi, ei and ri are stored consecutively in the array w, that is:
  • ai=w[i-1],
  • bi=w[n+i-1],
  • ei=w[2n+i-1] and
  • ri=w[3n+i-1].

Example

See Also