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20152026
most citedOn a Refinement-Free Calderón Multiplicative Preconditioner for the Electric Field Integral Equation

27 citations · 46 across the 11 of their papers we have counts for

collaborators

13 papers

math.NA2026

Well-conditioned Electric Field Surface Integral Equations using Reflective Generalized Sources

Yossi Dahan, Suryakumar Sivakumar, Yaniv Brick +1

This work uses the generalized source approach to develop a class of well-conditioned integral operators that are free of internal resonance, without the need for combined formulat…

math.NA2026

An Explicit Higher-Order Dual Basis for a Multiplicatively Calderón Preconditioned Electric Field Integral Equation

Bernd Hofmann, Thomas F. Eibert, Francesco P. Andriulli +1

One of the most effective means to precondition the electric field integral equation (EFIE) discretized with Rao-Wilton-Glisson (RWG) functions is the multiplicative Calderón preco…

math.NA2026

A Stabilized Multilevel B-Spline-Based Fast Integral Method for the Solution of the Electric Field Integral Equation

Danijel Jukić, Bernd Hofmann, Thomas F. Eibert +1

We present a multilevel B-spline-based fast integral method for the solution of the electric field integral equation (EFIE), combining fast Fourier transformation (FFT)-compatible…

cs.CE2026

High-Frequency Preconditioners for Electromagnetic Integral Equations Based on Helmholtz Regularizations

S. Ciciriello, V. Giunzioni, A. Dély +3

The numerical solution of the Electric Field Integral Equation (EFIE) via the Boundary Element Method (BEM) can be computationally challenging due to conditioning issues arising in…

math.NA2022★ 1 cited

On a Calderón preconditioner for the symmetric formulation of the electroencephalography forward problem without barycentric refinements

Viviana Giunzioni, John E. Ortiz G., Adrien Merlini +2

We present a Calderón preconditioning scheme for the symmetric formulation of the forward electroencephalographic (EEG) problem that cures both the dense discretization and the hig…

math.NA2022

A New Refinement-Free Preconditioner for the Symmetric Formulation in Electroencephalography

Viviana Giunzioni, John E. Ortiz G., Adrien Merlini +2

Widely employed for the accurate solution of the electroencephalography forward problem, the symmetric formulation gives rise to a first kind, ill-conditioned operator ill-suited f…