TY - JOUR
T1 - Method of fundamental solutions with regularization techniques for Cauchy problems of elliptic operators
AU - Wei, Ting
AU - Hon, Y. C.
AU - Ling, Leevan
PY - 2007/4
Y1 - 2007/4
N2 - In this paper we combine the method of fundamental solutions with various regularization techniques to solve Cauchy problems of elliptic differential operators. The main idea is to approximate the unknown solution by a linear combination of fundamental solutions whose singularities are located outside the solution domain. To solve effectively the discrete ill-posed resultant matrix, we use three regularization strategies under three different choices for the regularization parameter. Several examples on problems with smooth and non-smooth geometries in 2D and 3D spaces using under-, equally, and over-specified Cauchy data on an accessible boundary are given. Numerical results indicate that the generalized cross-validation and L-curve choice rulers for Tikhonov regularization and damped singular value decomposition strategy are most effective when using the same numbers of collocation and source points. It has also been observed that the use of more Cauchy data will greatly improve the accuracy of the approximate solution. © 2006.
AB - In this paper we combine the method of fundamental solutions with various regularization techniques to solve Cauchy problems of elliptic differential operators. The main idea is to approximate the unknown solution by a linear combination of fundamental solutions whose singularities are located outside the solution domain. To solve effectively the discrete ill-posed resultant matrix, we use three regularization strategies under three different choices for the regularization parameter. Several examples on problems with smooth and non-smooth geometries in 2D and 3D spaces using under-, equally, and over-specified Cauchy data on an accessible boundary are given. Numerical results indicate that the generalized cross-validation and L-curve choice rulers for Tikhonov regularization and damped singular value decomposition strategy are most effective when using the same numbers of collocation and source points. It has also been observed that the use of more Cauchy data will greatly improve the accuracy of the approximate solution. © 2006.
KW - Cauchy problems
KW - Inverse problems
KW - Method of fundamental solutions
KW - Regularization methods
UR - http://www.scopus.com/inward/record.url?scp=33847032040&partnerID=8YFLogxK
UR - https://www.scopus.com/record/pubmetrics.uri?eid=2-s2.0-33847032040&origin=recordpage
U2 - 10.1016/j.enganabound.2006.07.010
DO - 10.1016/j.enganabound.2006.07.010
M3 - RGC 21 - Publication in refereed journal
SN - 0955-7997
VL - 31
SP - 373
EP - 385
JO - Engineering Analysis with Boundary Elements
JF - Engineering Analysis with Boundary Elements
IS - 4
ER -