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Original Articles

Fast reconstruction of harmonic functions from Cauchy data using the Dirichlet-to-Neumann map and integral equations

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Pages 717-727 | Received 14 Mar 2011, Accepted 26 Mar 2011, Published online: 13 Jul 2011

Figures & data

Figure 1. The solution domain Ω with boundary Γ = ΓU ∪ ΓC given by (8) and (9). The arcs ΓU and ΓC meet at the two points γ1 and γ2. A total of 256 discretization points are constructed on Γ, 64 of which are located on ΓU. A source S1, for the generation of Cauchy data via (10), is marked by ‘*’.

Figure 1. The solution domain Ω with boundary Γ = ΓU ∪ ΓC given by (8) and (9). The arcs ΓU and ΓC meet at the two points γ1 and γ2. A total of 256 discretization points are constructed on Γ, 64 of which are located on ΓU. A source S1, for the generation of Cauchy data via (10), is marked by ‘*’.

Figure 2. Reference solutions f and g on ΓU for the problem detailed in Section 3.

Figure 2. Reference solutions f and g on ΓU for the problem detailed in Section 3.

Figure 3. Clean (no noise) Cauchy data fC and gC. Convergence of the reconstructions fU and gU with the dimension n of the monomial basis onto which fU is projected. Equations (18)–(20) are used (present). For comparison the corresponding results obtained with the method from Citation27 are included.

Figure 3. Clean (no noise) Cauchy data fC and gC. Convergence of the reconstructions fU and gU with the dimension n of the monomial basis onto which fU is projected. Equations (18)–(20) are used (present). For comparison the corresponding results obtained with the method from Citation27 are included.

Figure 4. (a) Given clean (no noise) data fC in (1) and the corresponding noisy data. (b) Reconstruction of fU via (19) and (18) for n = 2 and noisy data.

Figure 4. (a) Given clean (no noise) data fC in (1) and the corresponding noisy data. (b) Reconstruction of fU via (19) and (18) for n = 2 and noisy data.

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