Fast interval-valued statistical interconnect modeling and reduction

  title={Fast interval-valued statistical interconnect modeling and reduction},
  author={James D. Z. Ma and Rob A. Rutenbar},
Correlated interval representations of range uncertainty offer an attractive solution for approximating computations on statistical quantities. The key idea is to use finite intervals to approximate the essential mass of a pdf as it moves through numerical operators; the resulting compact interval-valued solution can be easily interpreted as a statistical distribution and efficiently sampled. This paper describes improved interval-valued algorithms for AWE/PRIMA model order reduction for tree… CONTINUE READING
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RICE 5: Rapid interconnect circuit evaluation version 5

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Highly Influential
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