A fast algorithm for particle simulations
Journal of Computational Physics
The reduced basis method for incompressible viscous flow calculations
SIAM Journal on Scientific and Statistical Computing
On the theory and error estimation of the reduced basis method for multi-parameter problems
Nonlinear Analysis: Theory, Methods & Applications
A reduced-order method for simulation and control of fluid flows
Journal of Computational Physics
Natural Boundary Element Methods for the Electric Field Integral Equation on Polyhedra
SIAM Journal on Numerical Analysis
Journal of Scientific Computing
Discrete Fredholm properties and convergence estimates for the electric field integral equation
Mathematics of Computation
Certified Reduced Basis Methods and Output Bounds for the Harmonic Maxwell's Equations
SIAM Journal on Scientific Computing
An "$hp$" Certified Reduced Basis Method for Parametrized Elliptic Partial Differential Equations
SIAM Journal on Scientific Computing
A reduced basis method for electromagnetic scattering by multiple particles in three dimensions
Journal of Computational Physics
Hi-index | 31.45 |
We introduce the reduced basis method (RBM) as an efficient tool for parametrized scattering problems in computational electromagnetics for problems where field solutions are computed using a standard Boundary Element Method (BEM) for the parametrized electric field integral equation (EFIE). This combination enables an algorithmic cooperation which results in a two step procedure. The first step consists of a computationally intense assembling of the reduced basis, that needs to be effected only once. In the second step, we compute output functionals of the solution, such as the Radar Cross Section (RCS), independently of the dimension of the discretization space, for many different parameter values in a many-query context at very little cost. Parameters include the wavenumber, the angle of the incident plane wave and its polarization.