NAG Library Routine Document
d05bdf (abel2_weak)
1
Purpose
d05bdf computes the solution of a weakly singular nonlinear convolution Volterra–Abel integral equation of the second kind using a fractional Backward Differentiation Formulae (BDF) method.
2
Specification
Fortran Interface
Subroutine d05bdf ( 
ck, cf, cg, initwt, iorder, tlim, tolnl, nmesh, yn, work, lwk, nct, ifail) 
Integer, Intent (In)  ::  iorder, nmesh, lwk  Integer, Intent (Inout)  ::  ifail  Integer, Intent (Out)  ::  nct(nmesh/32+1)  Real (Kind=nag_wp), External  ::  ck, cf, cg  Real (Kind=nag_wp), Intent (In)  ::  tlim, tolnl  Real (Kind=nag_wp), Intent (Inout)  ::  work(lwk)  Real (Kind=nag_wp), Intent (Out)  ::  yn(nmesh)  Character (1), Intent (In)  ::  initwt 

C Header Interface
#include nagmk26.h
void 
d05bdf_ ( double (NAG_CALL *ck)(const double *t), double (NAG_CALL *cf)(const double *t), double (NAG_CALL *cg)(const double *s, const double *y), const char *initwt, const Integer *iorder, const double *tlim, const double *tolnl, const Integer *nmesh, double yn[], double work[], const Integer *lwk, Integer nct[], Integer *ifail, const Charlen length_initwt) 

3
Description
d05bdf computes the numerical solution of the weakly singular convolution Volterra–Abel integral equation of the second kind
Note the constant
$\frac{1}{\sqrt{\pi}}$ in
(1). It is assumed that the functions involved in
(1) are sufficiently smooth.
The routine uses a fractional BDF linear multistep method to generate a family of quadrature rules (see
d05byf). The BDF methods available in
d05bdf are of orders
$4$,
$5$ and
$6$ (
$\text{}=p$ say). For a description of the theoretical and practical background to these methods we refer to
Lubich (1985) and to
Baker and Derakhshan (1987) and
Hairer et al. (1988) respectively.
The algorithm is based on computing the solution
$y\left(t\right)$ in a stepbystep fashion on a mesh of equispaced points. The size of the mesh is given by
$T/\left(N1\right)$,
$N$ being the number of points at which the solution is sought. These methods require
$2p1$ (including
$y\left(0\right)$) starting values which are evaluated internally. The computation of the lag term arising from the discretization of
(1) is performed by fast Fourier transform (FFT) techniques when
$N>32+2p1$, and directly otherwise. The routine does not provide an error estimate and you are advised to check the behaviour of the solution with a different value of
$N$. An option is provided which avoids the reevaluation of the fractional weights when
d05bdf is to be called several times (with the same value of
$N$) within the same program unit with different functions.
4
References
Baker C T H and Derakhshan M S (1987) FFT techniques in the numerical solution of convolution equations J. Comput. Appl. Math. 20 5–24
Hairer E, Lubich Ch and Schlichte M (1988) Fast numerical solution of weakly singular Volterra integral equations J. Comput. Appl. Math. 23 87–98
Lubich Ch (1985) Fractional linear multistep methods for Abel–Volterra integral equations of the second kind Math. Comput. 45 463–469
5
Arguments
 1: $\mathbf{ck}$ – real (Kind=nag_wp) Function, supplied by the user.External Procedure

ck must evaluate the kernel
$k\left(t\right)$ of the integral equation
(1).
The specification of
ck is:
Fortran Interface
Real (Kind=nag_wp)  ::  ck  Real (Kind=nag_wp), Intent (In)  ::  t 

C Header Interface
#include nagmk26.h
double 
ck (const double *t) 

 1: $\mathbf{t}$ – Real (Kind=nag_wp)Input

On entry: $t$, the value of the independent variable.
ck must either be a module subprogram USEd by, or declared as EXTERNAL in, the (sub)program from which
d05bdf is called. Arguments denoted as
Input must
not be changed by this procedure.
Note: ck should not return floatingpoint NaN (Not a Number) or infinity values, since these are not handled by
d05bdf. If your code inadvertently
does return any NaNs or infinities,
d05bdf is likely to produce unexpected results.
 2: $\mathbf{cf}$ – real (Kind=nag_wp) Function, supplied by the user.External Procedure

cf must evaluate the function
$f\left(t\right)$ in
(1).
The specification of
cf is:
Fortran Interface
Real (Kind=nag_wp)  ::  cf  Real (Kind=nag_wp), Intent (In)  ::  t 

C Header Interface
#include nagmk26.h
double 
cf (const double *t) 

 1: $\mathbf{t}$ – Real (Kind=nag_wp)Input

On entry: $t$, the value of the independent variable.
cf must either be a module subprogram USEd by, or declared as EXTERNAL in, the (sub)program from which
d05bdf is called. Arguments denoted as
Input must
not be changed by this procedure.
Note: cf should not return floatingpoint NaN (Not a Number) or infinity values, since these are not handled by
d05bdf. If your code inadvertently
does return any NaNs or infinities,
d05bdf is likely to produce unexpected results.
 3: $\mathbf{cg}$ – real (Kind=nag_wp) Function, supplied by the user.External Procedure

cg must evaluate the function
$g\left(s,y\left(s\right)\right)$ in
(1).
The specification of
cg is:
Fortran Interface
Real (Kind=nag_wp)  ::  cg  Real (Kind=nag_wp), Intent (In)  ::  s, y 

C Header Interface
#include nagmk26.h
double 
cg (const double *s, const double *y) 

 1: $\mathbf{s}$ – Real (Kind=nag_wp)Input

On entry: $s$, the value of the independent variable.
 2: $\mathbf{y}$ – Real (Kind=nag_wp)Input

On entry: the value of the solution
$y$ at the point
s.
cg must either be a module subprogram USEd by, or declared as EXTERNAL in, the (sub)program from which
d05bdf is called. Arguments denoted as
Input must
not be changed by this procedure.
Note: cg should not return floatingpoint NaN (Not a Number) or infinity values, since these are not handled by
d05bdf. If your code inadvertently
does return any NaNs or infinities,
d05bdf is likely to produce unexpected results.
 4: $\mathbf{initwt}$ – Character(1)Input

On entry: if the fractional weights required by the method need to be calculated by the routine then set
${\mathbf{initwt}}=\text{'I'}$ (
Initial call).
If
${\mathbf{initwt}}=\text{'S'}$ (
Subsequent call), the routine assumes the fractional weights have been computed on a previous call and are stored in
work.
Constraint:
${\mathbf{initwt}}=\text{'I'}$ or
$\text{'S'}$.
Note: when
d05bdf is reentered with the value of
${\mathbf{initwt}}=\text{'S'}$, the values of
nmesh,
iorder and the contents of
work must not be changed.
 5: $\mathbf{iorder}$ – IntegerInput

On entry: $p$, the order of the BDF method to be used.
Suggested value:
${\mathbf{iorder}}=4$.
Constraint:
$4\le {\mathbf{iorder}}\le 6$.
 6: $\mathbf{tlim}$ – Real (Kind=nag_wp)Input

On entry: the final point of the integration interval, $T$.
Constraint:
${\mathbf{tlim}}>10\times \mathit{machineprecision}$.
 7: $\mathbf{tolnl}$ – Real (Kind=nag_wp)Input

On entry: the accuracy required for the computation of the starting value and the solution of the nonlinear equation at each step of the computation (see
Section 9).
Suggested value:
${\mathbf{tolnl}}=\sqrt{\epsilon}$ where $\epsilon $ is the machine precision.
Constraint:
${\mathbf{tolnl}}>10\times \mathit{machineprecision}$.
 8: $\mathbf{nmesh}$ – IntegerInput

On entry: $N$, the number of equispaced points at which the solution is sought.
Constraint:
${\mathbf{nmesh}}={2}^{m}+2\times {\mathbf{iorder}}1$, where $m\ge 1$.
 9: $\mathbf{yn}\left({\mathbf{nmesh}}\right)$ – Real (Kind=nag_wp) arrayOutput

On exit: ${\mathbf{yn}}\left(\mathit{i}\right)$ contains the approximate value of the true solution $y\left(t\right)$ at the point $t=\left(\mathit{i}1\right)\times h$, for $\mathit{i}=1,2,\dots ,{\mathbf{nmesh}}$, where $h={\mathbf{tlim}}/\left({\mathbf{nmesh}}1\right)$.
 10: $\mathbf{work}\left({\mathbf{lwk}}\right)$ – Real (Kind=nag_wp) arrayCommunication Array

On entry: if
${\mathbf{initwt}}=\text{'S'}$,
work must contain fractional weights computed by a previous call of
d05bdf (see description of
initwt).
On exit: contains fractional weights which may be used by a subsequent call of d05bdf.
 11: $\mathbf{lwk}$ – IntegerInput

On entry: the dimension of the array
work as declared in the (sub)program from which
d05bdf is called.
Constraint:
${\mathbf{lwk}}\ge \left(2\times {\mathbf{iorder}}+6\right)\times {\mathbf{nmesh}}+8\times {{\mathbf{iorder}}}^{2}16\times {\mathbf{iorder}}+1$.
 12: $\mathbf{nct}\left({\mathbf{nmesh}}/32+1\right)$ – Integer arrayWorkspace

 13: $\mathbf{ifail}$ – IntegerInput/Output

On entry:
ifail must be set to
$0$,
$1\text{ or}1$. If you are unfamiliar with this argument you should refer to
Section 3.4 in How to Use the NAG Library and its Documentation for details.
For environments where it might be inappropriate to halt program execution when an error is detected, the value
$1\text{ or}1$ is recommended. If the output of error messages is undesirable, then the value
$1$ is recommended. Otherwise, if you are not familiar with this argument, the recommended value is
$0$.
When the value $\mathbf{1}\text{ or}\mathbf{1}$ is used it is essential to test the value of ifail on exit.
On exit:
${\mathbf{ifail}}={\mathbf{0}}$ unless the routine detects an error or a warning has been flagged (see
Section 6).
6
Error Indicators and Warnings
If on entry
${\mathbf{ifail}}=0$ or
$1$, explanatory error messages are output on the current error message unit (as defined by
x04aaf).
Errors or warnings detected by the routine:
 ${\mathbf{ifail}}=1$

On entry,  ${\mathbf{iorder}}<4$ or ${\mathbf{iorder}}>6$, 
or  ${\mathbf{tlim}}\le 10\times \mathit{machineprecision}$, 
or  ${\mathbf{initwt}}\ne \text{'I'}$ or $\text{'S'}$, 
or  ${\mathbf{initwt}}=\text{'S'}$ on the first call to d05bdf, 
or  ${\mathbf{tolnl}}\le 10\times \mathit{machineprecision}$, 
or  ${\mathbf{nmesh}}\ne {2}^{m}+2\times {\mathbf{iorder}}1,m\ge 1$, 
or  ${\mathbf{lwk}}<\left(2\times {\mathbf{iorder}}+6\right)\times {\mathbf{nmesh}}+8\times {{\mathbf{iorder}}}^{2}16\times {\mathbf{iorder}}+1$. 
 ${\mathbf{ifail}}=2$

The routine cannot compute the
$2p1$ starting values due to an error solving the system of nonlinear equations. Relaxing the value of
tolnl and/or increasing the value of
nmesh may overcome this problem (see
Section 9 for further details).
 ${\mathbf{ifail}}=3$

The routine cannot compute the solution at a specific step due to an error in the solution of the nonlinear equation
(2). Relaxing the value of
tolnl and/or increasing the value of
nmesh may overcome this problem (see
Section 9 for further details).
 ${\mathbf{ifail}}=99$
An unexpected error has been triggered by this routine. Please
contact
NAG.
See
Section 3.9 in How to Use the NAG Library and its Documentation for further information.
 ${\mathbf{ifail}}=399$
Your licence key may have expired or may not have been installed correctly.
See
Section 3.8 in How to Use the NAG Library and its Documentation for further information.
 ${\mathbf{ifail}}=999$
Dynamic memory allocation failed.
See
Section 3.7 in How to Use the NAG Library and its Documentation for further information.
7
Accuracy
The accuracy depends on
nmesh and
tolnl, the theoretical behaviour of the solution of the integral equation and the interval of integration. The value of
tolnl controls the accuracy required for computing the starting values and the solution of
(2) at each step of computation. This value can affect the accuracy of the solution. However, for most problems, the value of
$\sqrt{\epsilon}$, where
$\epsilon $ is the
machine precision, should be sufficient.
8
Parallelism and Performance
d05bdf is threaded by NAG for parallel execution in multithreaded implementations of the NAG Library.
d05bdf makes calls to BLAS and/or LAPACK routines, which may be threaded within the vendor library used by this implementation. Consult the documentation for the vendor library for further information.
Please consult the
X06 Chapter Introduction for information on how to control and interrogate the OpenMP environment used within this routine. Please also consult the
Users' Note for your implementation for any additional implementationspecific information.
In solving
(1), initially,
d05bdf computes the solution of a system of nonlinear equations for obtaining the
$2p1$ starting values.
c05qdf is used for this purpose. When a failure with
${\mathbf{ifail}}={\mathbf{2}}$ occurs (which corresponds to an error exit from
c05qdf), you are advised to either relax the value of
tolnl or choose a smaller step size by increasing the value of
nmesh. Once the starting values are computed successfully, the solution of a nonlinear equation of the form
is required at each step of computation, where
${\Psi}_{n}$ and
$\alpha $ are constants.
d05bdf calls
c05axf to find the root of this equation.
If a failure with
${\mathbf{ifail}}={\mathbf{3}}$ occurs (which corresponds to an error exit from
c05axf), you are advised to relax the value of the
tolnl or choose a smaller step size by increasing the value of
nmesh.
If a failure with
${\mathbf{ifail}}={\mathbf{2}}$ or
${\mathbf{3}}$ persists even after adjustments to
tolnl and/or
nmesh then you should consider whether there is a more fundamental difficulty. For example, the problem is illposed or the functions in
(1) are not sufficiently smooth.
10
Example
In this example we solve the following integral equations
with the solution
$y\left(t\right)=\sqrt{t}$, and
with the solution
$y\left(t\right)=\left(1t\right)\sqrt{t}$. In the above examples, the fourthorder BDF is used, and
nmesh is set to
${2}^{6}+7$.
10.1
Program Text
Program Text (d05bdfe.f90)
10.2
Program Data
None.
10.3
Program Results
Program Results (d05bdfe.r)