
Binary Decision Diagrams (BDDs) are a representation for Boolean formulas which makes many operations, in particular tautology - checking, surprisingly efficient in important practical cases. In contrast to such custom decision procedures, the HOL theorem prover expands all proofs out to a sequence of extremely simple primitive inferences. In this paper we describe how the BDD algorithm may be adapted to comply with such strictures, helping us to understand the strengths and limitations of the HOL approach.
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 18 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Average | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Top 10% | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |
