nag_zero_nonlin_eqns_rcomm (c05qdc) (PDF version)
c05 Chapter Contents
c05 Chapter Introduction
NAG Library Manual

NAG Library Function Document

nag_zero_nonlin_eqns_rcomm (c05qdc)

+ Contents

    1  Purpose
    7  Accuracy

1  Purpose

nag_zero_nonlin_eqns_rcomm (c05qdc) is a comprehensive reverse communication function that finds a solution of a system of nonlinear equations by a modification of the Powell hybrid method.

2  Specification

#include <nag.h>
#include <nagc05.h>
void  nag_zero_nonlin_eqns_rcomm (Integer *irevcm, Integer n, double x[], double fvec[], double xtol, Integer ml, Integer mu, double epsfcn, Nag_ScaleType scale_mode, double diag[], double factor, double fjac[], double r[], double qtf[], Integer iwsav[], double rwsav[], NagError *fail)

3  Description

The system of equations is defined as:
fi x1,x2,,xn = 0 ,   i= 1, 2, , n .
nag_zero_nonlin_eqns_rcomm (c05qdc) is based on the MINPACK routine HYBRD (see Moré et al. (1980)). It chooses the correction at each step as a convex combination of the Newton and scaled gradient directions. The Jacobian is updated by the rank-1 method of Broyden. At the starting point, the Jacobian is approximated by forward differences, but these are not used again until the rank-1 method fails to produce satisfactory progress. For more details see Powell (1970).

4  References

Moré J J, Garbow B S and Hillstrom K E (1980) User guide for MINPACK-1 Technical Report ANL-80-74 Argonne National Laboratory
Powell M J D (1970) A hybrid method for nonlinear algebraic equations Numerical Methods for Nonlinear Algebraic Equations (ed P Rabinowitz) Gordon and Breach

5  Arguments

Note: this function uses reverse communication. Its use involves an initial entry, intermediate exits and re-entries, and a final exit, as indicated by the argument irevcm. Between intermediate exits and re-entries, all arguments other than fvec must remain unchanged.
1:     irevcmInteger *Input/Output
On initial entry: must have the value 0.
On intermediate exit: specifies what action you must take before re-entering nag_zero_nonlin_eqns_rcomm (c05qdc) with irevcm unchanged. The value of irevcm should be interpreted as follows:
Indicates the start of a new iteration. No action is required by you, but x and fvec are available for printing.
Indicates that before re-entry to nag_zero_nonlin_eqns_rcomm (c05qdc), fvec must contain the function values fix .
On final exit: irevcm=0 , and the algorithm has terminated.
Constraint: irevcm=0, 1 or 2.
2:     nIntegerInput
On entry: n, the number of equations.
Constraint: n>0 .
3:     x[n]doubleInput/Output
On initial entry: an initial guess at the solution vector.
On intermediate exit: contains the current point.
On final exit: the final estimate of the solution vector.
4:     fvec[n]doubleInput/Output
On initial entry: need not be set.
On intermediate re-entry: if irevcm=1 , fvec must not be changed.
If irevcm=2 , fvec must be set to the values of the functions computed at the current point x.
On final exit: the function values at the final point, x.
5:     xtoldoubleInput
On initial entry: the accuracy in x to which the solution is required.
Suggested value: ε, where ε is the machine precision returned by nag_machine_precision (X02AJC).
Constraint: xtol0.0 .
6:     mlIntegerInput
On initial entry: the number of subdiagonals within the band of the Jacobian matrix. (If the Jacobian is not banded, or you are unsure, set ml=n-1 .)
Constraint: ml0 .
7:     muIntegerInput
On initial entry: the number of superdiagonals within the band of the Jacobian matrix. (If the Jacobian is not banded, or you are unsure, set mu=n-1 .)
Constraint: mu0 .
8:     epsfcndoubleInput
On initial entry: the order of the largest relative error in the functions. It is used in determining a suitable step for a forward difference approximation to the Jacobian. If epsfcn is less than machine precision (returned by nag_machine_precision (X02AJC)) then machine precision is used. Consequently a value of 0.0 will often be suitable.
Suggested value: epsfcn=0.0 .
9:     scale_modeNag_ScaleTypeInput
On initial entry: indicates whether or not you have provided scaling factors in diag.
If scale_mode=Nag_ScaleProvided the scaling must have been supplied in diag.
Otherwise, if scale_mode=Nag_NoScaleProvided, the variables will be scaled internally.
Constraint: scale_mode=Nag_NoScaleProvided or Nag_ScaleProvided.
10:   diag[n]doubleInput/Output
On entry: if scale_mode=Nag_ScaleProvided, diag must contain multiplicative scale factors for the variables.
If scale_mode=Nag_NoScaleProvided, diag need not be set.
Constraint: if scale_mode=Nag_ScaleProvided, diag[i-1]>0.0 , for i=1,2,,n.
On exit: the scale factors actually used (computed internally if scale_mode=Nag_NoScaleProvided).
11:   factordoubleInput
On initial entry: a quantity to be used in determining the initial step bound. In most cases, factor should lie between 0.1 and 100.0. (The step bound is factor×diag×x2  if this is nonzero; otherwise the bound is factor.)
Suggested value: factor=100.0 .
Constraint: factor>0.0 .
12:   fjac[n×n]doubleInput/Output
Note: the i,jth element of the matrix is stored in fjac[j-1×n+i-1].
On initial entry: need not be set.
On intermediate exit: must not be changed.
On final exit: the orthogonal matrix Q produced by the QR  factorization of the final approximate Jacobian.
13:   r[n×n+1/2]doubleInput/Output
On initial entry: need not be set.
On intermediate exit: must not be changed.
On final exit: the upper triangular matrix R produced by the QR  factorization of the final approximate Jacobian, stored row-wise.
14:   qtf[n]doubleInput/Output
On initial entry: need not be set.
On intermediate exit: must not be changed.
On final exit: the vector QTf .
15:   iwsav[17]IntegerCommunication Array
16:   rwsav[4×n+10]doubleCommunication Array
The arrays iwsav and rwsav MUST NOT be altered between calls to nag_zero_nonlin_eqns_rcomm (c05qdc).
17:   failNagError *Input/Output
The NAG error argument (see Section 3.6 in the Essential Introduction).

6  Error Indicators and Warnings

On entry, argument value had an illegal value.
On entry, scale_mode=Nag_ScaleProvided and diag contained a non-positive element.
On entry, irevcm=value.
Constraint: irevcm=0, 1 or 2.
On entry, ml=value.
Constraint: ml0.
On entry, mu=value.
Constraint: mu0.
On entry, n=value.
Constraint: n>0.
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.
The iteration is not making good progress, as measured by the improvement from the last value iterations.
The iteration is not making good progress, as measured by the improvement from the last value Jacobian evaluations.
On entry, factor=value.
Constraint: factor>0.0.
On entry, xtol=value.
Constraint: xtol0.0.
No further improvement in the solution is possible. xtol is too small: xtol=value.

7  Accuracy

If x^  is the true solution and D denotes the diagonal matrix whose entries are defined by the array diag, then nag_zero_nonlin_eqns_rcomm (c05qdc) tries to ensure that
D x-x^ 2 xtol × D x^ 2 .
If this condition is satisfied with xtol = 10-k , then the larger components of Dx  have k significant decimal digits. There is a danger that the smaller components of Dx  may have large relative errors, but the fast rate of convergence of nag_zero_nonlin_eqns_rcomm (c05qdc) usually obviates this possibility.
If xtol is less than machine precision and the above test is satisfied with the machine precision in place of xtol, then the function exits with fail.code= NE_TOO_SMALL.
Note:  this convergence test is based purely on relative error, and may not indicate convergence if the solution is very close to the origin.
The convergence test assumes that the functions are reasonably well behaved. If this condition is not satisfied, then nag_zero_nonlin_eqns_rcomm (c05qdc) may incorrectly indicate convergence. The validity of the answer can be checked, for example, by rerunning nag_zero_nonlin_eqns_rcomm (c05qdc) with a lower value for xtol.

8  Parallelism and Performance

nag_zero_nonlin_eqns_rcomm (c05qdc) is threaded by NAG for parallel execution in multithreaded implementations of the NAG Library.
nag_zero_nonlin_eqns_rcomm (c05qdc) 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 Users' Note for your implementation for any additional implementation-specific information.

9  Further Comments

The time required by nag_zero_nonlin_eqns_rcomm (c05qdc) to solve a given problem depends on n, the behaviour of the functions, the accuracy requested and the starting point. The number of arithmetic operations executed by nag_zero_nonlin_eqns_rcomm (c05qdc) to process the evaluation of functions in the main program in each exit is approximately 11.5×n2. The timing of nag_zero_nonlin_eqns_rcomm (c05qdc) is strongly influenced by the time spent evaluating the functions.
Ideally the problem should be scaled so that, at the solution, the function values are of comparable magnitude.
The number of function evaluations required to evaluate the Jacobian may be reduced if you can specify ml and mu accurately.

10  Example

This example determines the values x1 , , x9  which satisfy the tridiagonal equations:
3-2x1x1-2x2 = -1, -xi-1+3-2xixi-2xi+1 = -1,  i=2,3,,8 -x8+3-2x9x9 = -1.

10.1  Program Text

Program Text (c05qdce.c)

10.2  Program Data


10.3  Program Results

Program Results (c05qdce.r)

nag_zero_nonlin_eqns_rcomm (c05qdc) (PDF version)
c05 Chapter Contents
c05 Chapter Introduction
NAG Library Manual

© The Numerical Algorithms Group Ltd, Oxford, UK. 2014