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    • On the Adaptive Cross Approximation for the Magnetic Field Integral Equation

    Joshua M. Tetzner,Simon B. Adrian

    IEEE TRANSACTIONS ON ANTENNAS AND PROPAGATION（2024）

    Univ Rostock

    Cited 0|Views2
    Abstract
    We present an adaptive cross approximation (ACA) strategy for the magnetic field integral equation (MFIE), where an application of the standard ACA strategy can suffer from early convergence, in particular, due to block-structured interaction matrices associated with well-separated domains of the expansion and testing functions. Our scheme relies on a combination of three pivoting strategies, where the active strategy is determined by a convergence criterion that extends the standard criterion with a mean-based random-sampling criterion; the random samples give rise to one of the pivoting strategies, while the other two are based on (standard) partial pivoting and a geometry-based pivoting. In contrast to other techniques, the purely algebraic nature and the quasi-linear complexity of the ACA for electrically small problems are maintained. Numerical results show the effectiveness of our approach.
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    Key words
    Convergence,Antennas and propagation,Matrix decomposition,Testing,Transmission line matrix methods,Standards,Integral equations,Complexity theory,Switches,Reliability,Adaptive cross approximation (ACA),boundary element method (BEM),fast solvers,fill distance,magnetic field integral equation (MFIE),pivoting,random sampling
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