The Adaptive Cross Approximation Algorithm for Accelerated Method of Moments Computations of EMC Problems
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Abstract
This paper presents the adaptive cross approximation (ACA) algorithm to reduce memory and CPU time overhead in the method of moments (MoM) solution of surface integral equations. The present algorithm is purely algebraic; hence, its formulation and implementation are integral equation kernel (Green's function) independent. The algorithm starts with a multilevel partitioning of the computational domain. The interactions of well-separated partitioning clusters are accounted through a rank-revealing LU decomposition. The acceleration and memory savings of ACA come from the partial assembly of the rank-deficient interaction submatrices. It has been demonstrated that the ACA algorithm results in O(NlogN) complexity…
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Topics
Keywords
- Algorithm
- Integral equation
- Domain decomposition methods
- Kernel (algebra)
- Mathematics
- Approximation algorithm
- Electromagnetic compatibility
- Method of moments (probability theory)
UN Sustainable Development Goals
- Affordable and clean energy
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