NAG CL Interface
f11gec (real_symm_basic_solver)
1
Purpose
f11gec is an iterative solver for a symmetric system of simultaneous linear equations;
f11gec is the second in a suite of three functions, where the first function,
f11gdc, must be called prior to
f11gec to set up the suite, and the third function in the suite,
f11gfc, can be used to return additional information about the computation.
These three functions are suitable for the solution of large sparse symmetric systems of equations.
2
Specification
The function may be called by the names: f11gec, nag_sparse_real_symm_basic_solver or nag_sparse_sym_basic_solver.
3
Description
f11gec solves the symmetric system of linear simultaneous equations
$Ax=b$ using the preconditioned conjugate gradient method (see
Hestenes and Stiefel (1952),
Golub and Van Loan (1996),
Barrett et al. (1994) and
Dias da Cunha and Hopkins (1994)), a preconditioned Lanczos method based upon the algorithm SYMMLQ (see
Paige and Saunders (1975) and
Barrett et al. (1994)), or the MINRES algorithm (see
Paige and Saunders (1975)).
For a general description of the methods employed you are referred to
Section 3 in
f11gdc.
f11gec can solve the system after the first function in the suite,
f11gdc, has been called to initialize the computation and specify the method of solution. The third function in the suite,
f11gfc, can be used to return additional information generated by the computation during monitoring steps and after
f11gec has completed its tasks.
f11gec uses
reverse communication, i.e.,
f11gec returns repeatedly to the calling program with the argument
irevcm (see
Section 5) set to specified values which require the calling program to carry out a specific task: either to compute the matrixvector product
$v=Au$; to solve the preconditioning equation
$Mv=u$; to notify the completion of the computation; or, to allow the calling program to monitor the solution. Through the argument
irevcm the calling program can cause immediate or tidy termination of the execution. On final exit, the last iterates of the solution and of the residual vectors of the original system of equations are returned.
Reverse communication has the following advantages.

1.Maximum flexibility in the representation and storage of sparse matrices: all matrix operations are performed outside the solver function, thereby avoiding the need for a complicated interface with enough flexibility to cope with all types of storage schemes and sparsity patterns. This applies also to preconditioners.

2.Enhanced user interaction: you can closely monitor the solution and tidy or immediate termination can be requested. This is useful, for example, when alternative termination criteria are to be employed or in case of failure of the external functions used to perform matrix operations.
4
References
Barrett R, Berry M, Chan T F, Demmel J, Donato J, Dongarra J, Eijkhout V, Pozo R, Romine C and Van der Vorst H (1994) Templates for the Solution of Linear Systems: Building Blocks for Iterative Methods SIAM, Philadelphia
Dias da Cunha R and Hopkins T (1994) PIM 1.1 — the parallel iterative method package for systems of linear equations user's guide — Fortran 77 version Technical Report Computing Laboratory, University of Kent at Canterbury, Kent, UK
Golub G H and Van Loan C F (1996) Matrix Computations (3rd Edition) Johns Hopkins University Press, Baltimore
Hestenes M and Stiefel E (1952) Methods of conjugate gradients for solving linear systems J. Res. Nat. Bur. Stand. 49 409–436
Higham N J (1988) FORTRAN codes for estimating the onenorm of a real or complex matrix, with applications to condition estimation ACM Trans. Math. Software 14 381–396
Paige C C and Saunders M A (1975) Solution of sparse indefinite systems of linear equations SIAM J. Numer. Anal. 12 617–629
5
Arguments
Note: this function uses
reverse communication. Its use involves an initial entry, intermediate exits and reentries, and a final exit, as indicated by the argument
irevcm. Between intermediate exits and reentries,
all arguments other than irevcm and v must remain unchanged.

1:
$\mathbf{irevcm}$ – Integer *
Input/Output

On initial entry: ${\mathbf{irevcm}}=0$, otherwise an error condition will be raised.
On intermediate reentry: must either be unchanged from its previous exit value, or can have one of the following values.
 ${\mathbf{irevcm}}=5$
 Tidy termination: the computation will terminate at the end of the current iteration. Further reverse communication exits may occur depending on when the termination request is issued. f11gec will then return with the termination code ${\mathbf{irevcm}}=4$. Note that before calling f11gec with ${\mathbf{irevcm}}=5$ the calling program must have performed the tasks required by the value of irevcm returned by the previous call to f11gec, otherwise subsequently returned values may be invalid.
 ${\mathbf{irevcm}}=6$
 Immediate termination: f11gec will return immediately with termination code ${\mathbf{irevcm}}=4$ and with any useful information available. This includes the last iterate of the solution and, for conjugate gradient only, the last iterate of the residual vector. The residual vector is generally not available when the Lanczos method (SYMMLQ) is used. f11gec will then return with the termination code ${\mathbf{irevcm}}=4$.
Immediate termination may be useful, for example, when errors are detected during matrixvector multiplication or during the solution of the preconditioning equation.
Changing
irevcm to any other value between calls will result in an error.
On intermediate exit:
has the following meanings.
 ${\mathbf{irevcm}}=1$
 The calling program must compute the matrixvector product $v=Au$, where $u$ and $v$ are stored in u and v, respectively.
 ${\mathbf{irevcm}}=2$
 The calling program must solve the preconditioning equation $Mv=u$, where $u$ and $v$ are stored in u and v, respectively.
 ${\mathbf{irevcm}}=3$
 Monitoring step: the solution and residual at the current iteration are returned in the arrays u and v, respectively. No action by the calling program is required. To return additional information f11gfc can be called at this step.
On final exit: if
${\mathbf{irevcm}}=4$,
f11gec has completed its tasks. The value of
fail.code determines whether the iteration has been successfully completed, errors have been detected or the calling program has requested termination.
Constraint:
on initial entry,
${\mathbf{irevcm}}=0$; on reentry, either
irevcm must remain unchanged or be reset to
${\mathbf{irevcm}}=5$ or
$6$.
Note: any values you return to f11gec as part of the reverse communication procedure should not include floatingpoint NaN (Not a Number) or infinity values, since these are not handled by f11gec. If your code inadvertently does return any NaNs or infinities, f11gec is likely to produce unexpected results.

2:
$\mathbf{u}\left[\mathit{dim}\right]$ – double
Input/Output

Note: the dimension,
dim, of the array
u
must be at least
$\mathit{n}$.
On initial entry: an initial estimate, ${x}_{0}$, of the solution of the system of equations $Ax=b$.
On intermediate reentry: must remain unchanged.
On intermediate exit:
the returned value of
irevcm determines the contents of
u in the following way.
If
${\mathbf{irevcm}}=1$ or
$2$,
u holds the vector
$u$ on which the operation specified by
irevcm is to be carried out.
If
${\mathbf{irevcm}}=3$,
u holds the current iterate of the solution vector.
On final exit: if after the first call
${\mathbf{fail}}\mathbf{.}\mathbf{code}=$ NE_INT or
NE_OUT_OF_SEQUENCE, the array
u is unchanged from the initial entry to
f11gec. If after an intermediate call
${\mathbf{fail}}\mathbf{.}\mathbf{code}=$ NE_INT or
NE_OUT_OF_SEQUENCE, the array
u is unchanged from the last entry to
f11gec. Otherwise,
u holds the last iterate of the solution of the system of equations, for all returned values of
fail.code.

3:
$\mathbf{v}\left[\mathit{dim}\right]$ – double
Input/Output

Note: the dimension,
dim, of the array
v
must be at least
$\mathit{n}$.
On initial entry: the righthand side $b$ of the system of equations $Ax=b$.
On intermediate reentry: the returned value of
irevcm determines the contents of
v in the following way.
If
${\mathbf{irevcm}}=1$ or
$2$,
v must store the vector
$v$, the result of the operation specified by the value of
irevcm returned by the previous call to
f11gec.
If
${\mathbf{irevcm}}=3$,
v must remain unchanged.
On intermediate exit:
if
${\mathbf{irevcm}}=3$,
v holds the current iterate of the residual vector. Note that this is an approximation to the true residual vector. Otherwise, it does not contain any useful information.
On final exit: if after the first call
${\mathbf{fail}}\mathbf{.}\mathbf{code}=$ NE_INT or
NE_OUT_OF_SEQUENCE, the array
v is unchanged from the initial entry to
f11gec. If after an intermediate call
${\mathbf{fail}}\mathbf{.}\mathbf{code}=$ NE_INT or
NE_OUT_OF_SEQUENCE, the array
v is unchanged from the last entry to
f11gec. Otherwise,
v stores the last iterate of the residual vector unless the Lanczos method (SYMMLQ) was used and
${\mathbf{fail}}\mathbf{.}\mathbf{code}=$ NE_COEFF_NOT_POS_DEF,
NE_CONVERGENCE,
NE_PRECOND_NOT_POS_DEF,
NE_SINGULAR,
NE_USER_STOP or
NE_WEIGHT_ZERO, in which case
v is set to
$0.0$.

4:
$\mathbf{wgt}\left[\mathit{dim}\right]$ – const double
Input

Note: the dimension,
dim, of the array
wgt
must be at least
$\mathrm{max}\phantom{\rule{0.125em}{0ex}}(1,\mathit{n})$.
On entry: the usersupplied weights, if these are to be used in the computation of the vector norms in the termination criterion (see
Sections 3 and
5 in
f11gdc).
Weights are NOT used in the MINRES algorithm.
Constraint:
if weights are to be used, at least one element of
wgt must be nonzero.

5:
$\mathbf{work}\left[{\mathbf{lwork}}\right]$ – double
Communication Array

On initial entry: the array
work as returned by
f11gdc (see also
Section 5 in
f11gdc).
On intermediate reentry: must remain unchanged.

6:
$\mathbf{lwork}$ – Integer
Input

On initial entry: the dimension of the array
work (see also
Section 3 in
f11gdc).
The required amount of workspace is as follows:
Method 
Requirements 
CG 
${\mathbf{lwork}}=120+5\mathit{n}+p$. 
SYMMLQ 
${\mathbf{lwork}}=120+6\mathit{n}+p$, 
MINRES 
${\mathbf{lwork}}=120+9\mathit{n}$, 
where
 $p=2*({\mathbf{maxits}}+1)$, when an estimate of ${\sigma}_{1}\left(A\right)$ (sigmax) is computed;
 $p=0$, otherwise.
Constraint:
${\mathbf{lwork}}\ge {\mathbf{lwreq}}$, where
lwreq is returned by
f11gdc.

7:
$\mathbf{fail}$ – NagError *
Input/Output

The NAG error argument (see
Section 7 in the Introduction to the NAG Library CL Interface).
6
Error Indicators and Warnings
 NE_ACCURACY

${\mathbf{fail}}\mathbf{.}\mathbf{errnum}=1$
Userrequested termination: the required accuracy could not be obtained. However, a reasonable accuracy may have been achieved.
${\mathbf{fail}}\mathbf{.}\mathbf{errnum}=2$
The required accuracy could not be obtained. However, a reasonable accuracy may have been achieved.
 NE_ALLOC_FAIL

Dynamic memory allocation failed.
See
Section 3.1.2 in the Introduction to the NAG Library CL Interface for further information.
 NE_BAD_PARAM

On entry, argument $\u27e8\mathit{\text{value}}\u27e9$ had an illegal value.
 NE_COEFF_NOT_POS_DEF

The matrix of the coefficients $A$ appears not to be positive definite. The computation cannot continue.
 NE_CONVERGENCE

The solution has not converged after $\u27e8\mathit{\text{value}}\u27e9$ iterations.
Userrequested tidy termination. The solution has not converged after $\u27e8\mathit{\text{value}}\u27e9$ iterations.
 NE_INT

On entry,
${\mathbf{lwork}}=\u27e8\mathit{\text{value}}\u27e9$.
Constraint:
${\mathbf{lwork}}\ge {\mathbf{lwreq}}$, where
lwreq is returned by
f11gdc.
On initial entry, ${\mathbf{irevcm}}=\u27e8\mathit{\text{value}}\u27e9$.
Constraint: ${\mathbf{irevcm}}=0$.
On intermediate reentry,
${\mathbf{irevcm}}=\u27e8\mathit{\text{value}}\u27e9$.
Constraint: either
irevcm must be unchanged from its previous exit value or
${\mathbf{irevcm}}=5$ or
$6$.
 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.
See
Section 7.5 in the Introduction to the NAG Library CL Interface for further information.
 NE_NO_LICENCE

Your licence key may have expired or may not have been installed correctly.
See
Section 8 in the Introduction to the NAG Library CL Interface for further information.
 NE_OUT_OF_SEQUENCE

Either
f11gdc was not called before calling this function or it has returned an error.
f11gec has already completed its tasks. You need to set a new problem.
 NE_PRECOND_NOT_POS_DEF

The preconditioner appears not to be positive definite. The computation cannot continue.
 NE_SINGULAR

The matrix of the coefficients $A$ appears to be singular. The computation cannot continue.
 NE_USER_STOP

Userrequested immediate termination.
 NE_WEIGHT_ZERO

The weights in array
wgt are all zero.
7
Accuracy
On completion, i.e.,
${\mathbf{irevcm}}=4$ on exit, the arrays
u and
v will return the solution and residual vectors,
${x}_{k}$ and
${r}_{k}=bA{x}_{k}$, respectively, at the
$k$th iteration, the last iteration performed, unless an immediate termination was requested and the Lanczos method (SYMMLQ) was used.
On successful completion, the termination criterion is satisfied to within the userspecified tolerance, as described in
Section 3 in
f11gdc. The computed values of the left and righthand sides of the termination criterion selected can be obtained by a call to
f11gfc.
8
Parallelism and Performance
Background information to multithreading can be found in the
Multithreading documentation.
f11gec is threaded by NAG for parallel execution in multithreaded implementations of the NAG Library.
f11gec 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 function. Please also consult the
Users' Note for your implementation for any additional implementationspecific information.
The number of operations carried out by f11gec for each iteration is likely to be principally determined by the computation of the matrixvector products $v=Au$ and by the solution of the preconditioning equation $Mv=u$ in the calling program. Each of these operations is carried out once every iteration.
The number of the remaining operations in f11gec for each iteration is approximately proportional to $\mathit{n}$. Note that the Lanczos method (SYMMLQ) requires a slightly larger number of operations than the conjugate gradient method.
The number of iterations required to achieve a prescribed accuracy cannot be easily determined at the onset, as it can depend dramatically on the conditioning and spectrum of the preconditioned matrix of the coefficients $\overline{A}={E}^{1}A{E}^{\mathrm{T}}$.
Additional matrixvector products are required for the computation of
${\Vert A\Vert}_{1}={\Vert A\Vert}_{\infty}$, when this has not been supplied to
f11gdc and is required by the termination criterion employed.
The number of operations required to compute
${\sigma}_{1}\left(\overline{A}\right)$ is negligible for reasonable values of
sigtol and
maxits (see
Sections 5 and
9 in
f11gdc).
If the termination criterion
${\Vert {r}_{k}\Vert}_{p}\le \tau ({\Vert b\Vert}_{p}+{\Vert A\Vert}_{p}\times {\Vert {x}_{k}\Vert}_{p})$ is used (see
Section 3 in
f11gdc) and
$\Vert {x}_{0}\Vert \gg \Vert {x}_{k}\Vert $, so that because of loss of significant digits the required accuracy could not be obtained, the iteration is restarted automatically at some suitable point:
f11gec sets
${x}_{0}={x}_{k}$ and the computation begins again. For particularly badly scaled problems, more than one restart may be necessary. Naturally, restarting adds to computational costs: it is recommended that the iteration should start from a value
${x}_{0}$ which is as close to the true solution
$\stackrel{~}{x}$ as can be estimated. Otherwise, the iteration should start from
${x}_{0}=0$.
10
Example