Newton method for estimation of the Robin coefficient
-
1419
Downloads
-
2144
Views
Authors
Yan-Bo Ma
- Department of Mathematics and Statist, Hanshan Normal University, Chaozhou, Guangdong, 521041, P. R. China.
Abstract
This paper considers estimation of Robin parameter by using measurements on partial boundary and solving
a Robin inverse problem associated with the Laplace equation. Typically, such problems are solved utilizing
a Gauss-Newton method in which the forward model constraints are implicitly incorporated. Variants
of Newton’s method which use second derivative information are rarely employed because their perceived
disadvantage in computational cost per step offsets their potential benefits of fast convergence. In this paper,
we show that by formulating the inversion as a constrained or unconstrained optimization problem, we can
carry out the sequential quadratic programming and the full Newton iteration with only a modest additional
cost. Our numerical results illustrate that Newton’s method can produce a solution in fewer iterations and,
in some cases where the data contain significant noise, requires fewer floating point operations than Gauss-
Newton methods.
Share and Cite
ISRP Style
Yan-Bo Ma, Newton method for estimation of the Robin coefficient, Journal of Nonlinear Sciences and Applications, 8 (2015), no. 5, 660--669
AMA Style
Ma Yan-Bo, Newton method for estimation of the Robin coefficient. J. Nonlinear Sci. Appl. (2015); 8(5):660--669
Chicago/Turabian Style
Ma, Yan-Bo. "Newton method for estimation of the Robin coefficient." Journal of Nonlinear Sciences and Applications, 8, no. 5 (2015): 660--669
Keywords
- Robin inverse problem
- ill-posedness
- boundary integral equations
- Newton method
- Gauss-Newton method.
MSC
References
-
[1]
G. Alessandrini, L. Del Piero, L. Rondi , Stable determination of corrosion by single electrostatic boundary measurement, Inverse Problems, 19 (2003), 973–984.
-
[2]
U. Ascher, R. Mattheij, R. Russell , Numerical Solution of Boundary Value Problems for Ordinary Differential Equations, SIAM, Philadelphia (1995)
-
[3]
K. Atkinson, The Numerical Solution of Integral Equation of Second Kind, Cambridge University Press, Cambridge (1997)
-
[4]
S. Busenberg, W. Fang, Identification of semiconductor contact resistivity, Quart. Appl. Math., 49 (1991), 639– 649.
-
[5]
S. Chaabane, C. Elhechmi, M. Jaoua, A stable recovery method for the Robin inverse problem, Math.Comput. Simulation, 66 (2004), 367–383.
-
[6]
S. Chaabane, I. Feki, N. Mars, Numerical reconstruction of a piecewise constant Robin parameter in the two- or three-dimensional case, Inverse Problems, 28 (2012), 19 pages.
-
[7]
S. Chaabane, I. Fellah, M. Jaoua, J. Leblond, Logarithmic stability estimates for a Robin coefficient in twodimensional Laplace inverse problems, Inverse Problems, 20 (2004), 47–59.
-
[8]
S. Chaabane, J. Ferchichi, K. Kunisch, Differentiability properties of \(L^1\)-tracking functional and application to the Robin inverse problem, Inverse Problems, 20 (2004), 1083–1097.
-
[9]
S. Chaabane, M. Jaoua, Identification of Robin coefficients by means of boundary measurements, Inverse Problems, 15 (1999), 1425–1438.
-
[10]
L. M. Delves, J. L. Mohamed , Computational Methods for Integral Equations, Cambridge University Press, Appendix A , Cambridge (1985)
-
[11]
J. E. Dennis, M. Heinkenschloss, L. N. Vicente, Trust-region interior-point SQP algorithms for a class of nonlinear programming problems, SIAM J. Control Optim., 36 (1998), 1750–1794.
-
[12]
W. Fang, E. Cumberbatch, Inverse problems for metal oxide semiconductor field-effect transistor contact resistivity, SIAM J. Appl. Math., 52 (1992), 699–709.
-
[13]
W. Fang, X. Zeng, A direct solution of the Robin inverse problem, J. Integral Equations Appl., 21 (2009), 545–557.
-
[14]
D. Fasino, G. Inglese, An inverse Robin problem for Laplace’s equation: theoretical results and numerical methods, Inverse Problems, 15 (1999), 41–48.
-
[15]
D. Fasino, G. Inglese, Discrete methods in the study of an inverse problem for Laplace’s equation, SIAM J. Numer. Anal., 19 (1999), 105–118.
-
[16]
E. Haber, Numerical strategies for the solution of inverse problems, PhD thesis, University of British Columbia (1998)
-
[17]
E. Haber, U. M. Ascher, D. Oldenburg, On optimization techniques for solving nonlinear inverse problems, Inverse problems, 16 (2000), 1263-1280.
-
[18]
M. Heinkenschloss, Mesh independence for nonlinear least squares problems with norm constraints, SIAM J. Optim., 3 (1993), 81–117.
-
[19]
G. Inglese, An inverse problem in corrosion detection, Inverse Problems, 13 (1997), 977–994.
-
[20]
B. Jin, Conjugate gradient method for the Robin inverse problem associated with the Laplace equation, Internat. J. Numer. Methods Engrg, 71 (2007), 433–453.
-
[21]
B. Jin, J. Zou, Inversion of Robin coefficient by a spectral stochastic finite element approach, J. Comput. Phys., 227 (2008), 3282–3306.
-
[22]
B. Jin, J. Zou, Numerical estimation of piecewise constant Robin coefficient, SIAM J. Control Optim., 48 (2009), 1977–2002.
-
[23]
P. G. Kaup, F. Santosa, Nondestructive evaluation of corrosion damage using electrostatic measurements, J. Nondestruct. Eval., 14 (1995), 127–136.
-
[24]
R. Kress, Linear Integral Equations, Springer, New York (1999)
-
[25]
F. Lin, W. Fang, A linear integral equation approach to the Robin inverse problem, Inverse Problems, Appendix A , 21 (2005), 1757–1772.
-
[26]
W. H. Loh, K. Saraswat, R. W. Dutton, Analysis and scaling of Kelvin resistors for extraction of specific contact resistivity, IEEE Electron. Device Lett., 1985 (6), 105–108.
-
[27]
W. H. Loh, S. E. Swirhun, T. A. Schreyer, R. M. Swanson, K. C. Saraswat, Modeling and measurement of contact resistances, IEEE Transac. Elect. Dev., 34 (1987), 512–524.
-
[28]
V. G. Maz’ya, Boundary integral equations analysis IV, Springer, New York (1991)
-
[29]
J. Nocedal, S. Wright , Numerical Optimization, Springer, New York (2006)
-
[30]
F. Santosa, M. Vogelius, J. M. Xu, An effective nonlinear boundary condition for corroding surface identification of damage based on steady state electric data , Z. Angew. Math. Phys., 49 (1998), 656–679.