A family of direct (noniterative) solvers with reduced computational complexity is proposed for solving problems involving resonant or near-resonant structures. Based on the recursive interaction matrix algorithm, the solvers exploit the aggregation concept of the recursive aggregate T-matrix algorithm to accelerate the solution. Direct algorithms are developed to compute the scattered field and the current coefficient, and invert the impedance matrix. Computational complexities of these algorithms are expressed in terms of the number of harmonics P required to express the scattered field of a larger scatterer made up of N scatterers. The exact P-N relation is determined by the geometry
In the first phase of our work, we have concentrated on laying the foundation to develop fast algori...
Efficient and fast recursive algorithms for both the spectral-domain and the space-domain solutions ...
In general, to solve problems with N parameters, the optimal computational complexity is linear comp...
A family of direct (noniterative) solvers with reduced computational complexity is proposed for solv...
An algorithm based on the recursive operator algorithm is proposed to solve for the scattered field ...
Various methods for efficiently solving electromagnetic problems are presented. Electromagnetic scat...
Computational electromagnetics plays an important role in the study of wave scattering and radiation...
. We describe the iterative solution of dense linear systems arising from a surface integral equatio...
A direct (noniterative) algorithm for the solution of the electromagnetic scattering from three-dime...
We report the solution of extremely large integral-equation problems involving electromagnetic scatt...
A review on the progress in the field of fast integral equations solvers meant for solving computati...
Cataloged from PDF version of article.A direct (noniterative) algorithm for the solution of the ele...
A fast recursive algorithm has been developed to solve for the scattering solution of a large 2-D in...
Among existing computational electromagnetic methods, volume integral equation (VIE) based methods h...
This work presents a fast direct solver strategy for electromagnetic integral equations in the high-...
In the first phase of our work, we have concentrated on laying the foundation to develop fast algori...
Efficient and fast recursive algorithms for both the spectral-domain and the space-domain solutions ...
In general, to solve problems with N parameters, the optimal computational complexity is linear comp...
A family of direct (noniterative) solvers with reduced computational complexity is proposed for solv...
An algorithm based on the recursive operator algorithm is proposed to solve for the scattered field ...
Various methods for efficiently solving electromagnetic problems are presented. Electromagnetic scat...
Computational electromagnetics plays an important role in the study of wave scattering and radiation...
. We describe the iterative solution of dense linear systems arising from a surface integral equatio...
A direct (noniterative) algorithm for the solution of the electromagnetic scattering from three-dime...
We report the solution of extremely large integral-equation problems involving electromagnetic scatt...
A review on the progress in the field of fast integral equations solvers meant for solving computati...
Cataloged from PDF version of article.A direct (noniterative) algorithm for the solution of the ele...
A fast recursive algorithm has been developed to solve for the scattering solution of a large 2-D in...
Among existing computational electromagnetic methods, volume integral equation (VIE) based methods h...
This work presents a fast direct solver strategy for electromagnetic integral equations in the high-...
In the first phase of our work, we have concentrated on laying the foundation to develop fast algori...
Efficient and fast recursive algorithms for both the spectral-domain and the space-domain solutions ...
In general, to solve problems with N parameters, the optimal computational complexity is linear comp...