This work presents two new methods for the calculation of node signal probabilities in combinational networks that improve the state of the art by providing a better accuracy than existing algorithms and a deeper insight in the effects of first order correlations due to multiple fan-out reconvergencies. The proposed algorithms are shown to favorable compare with existing procedures in the analysis of significant benchmarks.
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