Q. Su

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We present an efficient implementation of an approximate balanced truncation model reduction technique for general large-scale RLC systems, described by a state-space model where the "C" matrix in the time-domain modified nodal analysis (MNA) circuit equation "C\dot{x}=-Gx+Bu" is not necessarily invertible. The large sizes of the models that we consider(More)
To determine whether genetic heterogeneity exists in patients with Graves' disease (GD), the cytotoxic T-lymphocyte associated 4 (CTLA-4) gene, which is implicated a susceptibility gene for GD by considerable genetic and immunological evidence, was used for association analysis in a Chinese Han cohort recruited from various geographic regions. Our(More)
We present a framework for passivity-preserving model reduction for RLC systems that includes, as a special case, the well-known PRIMA model reduction algorithm. This framework provides a new interpretation for PRIMA, and offers a qualitative explanation as to why PRIMA performs remarkably well in practice. In addition, the framework enables the derivation(More)
Prediction of the possibility for the formation of new compounds is an important problem of materials science. In the present study, different computer training methods (support vector machine; algorithm for calculating estimates; voting algorithms based on deadlock tests, logical regularities, and statistically weighted syndromes; linear machine(More)
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