|
ABSTRACT
Cubicaliy convergent iterative methods for the solution of nonlinear systems of the multivariate Halley method, require first and second partial derivatives of the of the functions comprising the system. Automatic differentiation is used to automate the Halley method, HESSIAN and routines for the required operators and functions. A Pascal-SC which implements this method in a single-step iteration mode. The program nonlinear systems, and the results are compared with Newton's method.
REFERENCES
Note: OCR errors may be found in this Reference List extracted from the full text article. ACM has opted to expose the complete List rather than only correct and linked references.
| |
1
|
BOHLENDER, G., C, RUNER, K., KAUCHER, E., KLATTE, R., KRAMER, W., KULISCH, U. W., RUMP, S. M., ULLRICH, C. WOLFF VON GUDENBERG, J., AND MIRANKER, W. L. PASCAL-SC: A PASCAL for contemporary scientific computation. Res. Rep. RC 9009, IBM Thomas J. Watson Research Center, Yorktown Heights, N.Y., 1981.
|
| |
2
|
CUYT, A. A.M. Abstract Pad6 approximants for operators: Theory and applications. Lecture Notes in Mathematics, vol 1065, Springer-Verlag, New York, 1984.
|
| |
3
|
CURT, A. A. M. Numerical stability of the Halley-iteration for the solution of a system of nonlinear equations. Math. Comput. 38 (1982), 171-179.
|
| |
4
|
CUYT, A. A. M., AND VAN DER CRUYSSEN, P. Abstract Pad~ approximants for the solution of a system of nonlinear equations. Rep. 80-17, University of Antwerp UIA, Antwerp, Belgium, 1980.
|
| |
5
|
GRAY, J. H., AND RALL, L.B. NEWTON: A general purpose program for solving nonlinear systems. In Proceedings of the I967 Army Numerical Analysis Conference. U. S. Army Research Office, Durham, N.C., 1967, pp. 11-59.
|
 |
6
|
|
| |
7
|
KUBA, D., AND RALL, L.B. A UNIVAC 1108 program for obtaining rigorous error estimates for approximate solutions of systems of equations. Tech. Summary Rep. 1168, Mathematics Research Center, University of Wisconsin--Madison, 1972.
|
| |
8
|
|
| |
9
|
|
| |
10
|
|
| |
11
|
MOORE, R.E. Interval Analysis. Prentice-Hall, Englewood Cliffs, N. J., 1966.
|
| |
12
|
MOORE, R.E. Techniques and Applications of Interval Analysis, vol. 2, SIAM Studies in Applied Mathematics. SIAM, Philadelphia, Pa., 1979.
|
| |
13
|
NEAC, A, M. P ascal-SC Language Description and Programming Guide {German). Department of Computer Science, University of Kaiserslautern, Kaiserslautern, W. Germany, 1982.
|
| |
14
|
|
| |
15
|
RALL, L.B. Computational Solution of Nonlinear Operator Equations. Krieger, Huntington, N. Y., 1979.
|
| |
16
|
RALL, L.B. Applications of software for automatic differentiation in numerical computation. Computing, Suppl. 2 {1980), 141-156.
|
| |
17
|
RALL, L.B. Automatic Differentiation: Techniques and Applications, Lecture Notes in Computer Science, vol. 120. Springer-Verlag, Berlin, Heidelberg, New York, 1981.
|
| |
18
|
|
| |
19
|
RALL, L. B. Representations of intervals and optimal error bounds. Math. Comput. 4I, 163 (1983), 219-227.
|
 |
20
|
|
| |
21
|
|
| |
22
|
WOLFF VON GUDENBERG, J. Complete Arithmetic of the PASCAL-SC Computer: User Handbook (German). Institute for Applied Mathematics, University of Karlsruhe, Karlsruhe, W. Germany, 1981.
|
REVIEW
"Donald G. M. Anderson : Reviewer"
There are several extensions of Newton's method for univariate zero-finding
problems which involve the use of second, as well as first, derivative
information. Some of them have analogues for multivariate zero-finding problems,
but these are rar
more...
|