Newton iterative shape optimization on the EFIE via BEM maximizes regularized em-chirality for tubular conductors, producing nonintuitive shapes that excite higher-order modes.
Communicationinthepres- ence of noise.Proceedings of the IRE, 37 (1):10–21, 1949
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PARCEL is a new visual tokenization architecture combining pool-anchored resampling with conditioned elastic queries to enhance performance-efficiency tradeoffs in LVLMs over prior matryoshka methods.
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Optimal Design of Tubular Perfectly Conducting Objects in Electromagnetic Chirality
Newton iterative shape optimization on the EFIE via BEM maximizes regularized em-chirality for tubular conductors, producing nonintuitive shapes that excite higher-order modes.