Symmetric Near-Field Schur Complement Preconditioner for Hierarchal Electric Field Integral Equation Solve
Yoginder Kumar Negi, N. Balakrishnan, Sadasiva M. Rao

TL;DR
This paper introduces a symmetric near-field Schur complement preconditioner for Hierarchal EFIE solvers, significantly reducing memory and computation time while maintaining effectiveness, and demonstrating notable speed-ups in iterative solutions.
Contribution
It proposes a novel symmetric near-field Schur complement preconditioner that improves efficiency and reduces memory usage for Hierarchal EFIE solutions.
Findings
Achieves near-linear complexity in setup and solve times.
Reduces preconditioner setup time by half using symmetry.
Demonstrates 1.5-2.3x speed-up over existing preconditioners.
Abstract
In this paper, a robust and effective preconditioner for the fast Method of Moments(MoM) based Hierarchal Electric Field Integral Equation(EFIE) solver is proposed using symmetric near-field Schur's complement method. In this preconditioner, near-field blocks are scaled to a diagonal block matrix and these near-field blocks are replaced with the scaled diagonal block matrix which reduces the near-field storage memory and the overall matrix vector product time. Scaled diagonal block matrix is further used as a preconditioner and due to the block diagonal form of the final preconditioner, no additional fill-ins are introduced in its inverse. The symmetric property of the near-field blocks is exploited to reduce the preconditioner setup time. Near linear complexity of preconditioner set up and solve times is achieved by near-field block ordering, using graph bandwidth reduction algorithms…
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