
Canonical Generalization of OBDD Cuts 45% Memory Use
UC Berkeley's canonical generalization of OBDD reduces memory by 45% and speeds verification by 32% for enterprise finance software amid BTC volatility.
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UC Berkeley's canonical generalization of OBDD reduces memory by 45% and speeds verification by 32% for enterprise finance software amid BTC volatility.

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