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STIMSMITH

mixed Boolean/integer variable domains

Concept

Mixed Boolean/integer variable domains are variable domains that combine Boolean and integer variables. In the cited hardware-verification work, they appear in the context of constrained random simulation, where efficient stimulus generation depends on solving constraints over such domains with good performance and solution distribution.

First seen 7/17/2026
Last seen 7/17/2026
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mixed Boolean/integer variable domains

Mixed Boolean/integer variable domains combine Boolean variables and integer variables within the same constraint-solving problem.

In the cited work on constrained random simulation for hardware verification, these domains are the setting for stimulus generation: input stimuli must be generated randomly while obeying declaratively specified input constraints. The paper frames efficient constraint solving for mixed Boolean/integer variable domains as an important part of the overall verification flow, and it presents a hybrid solver based on Markov-chain Monte Carlo methods for this purpose.

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RELATIONSHIPS

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hybrid constraint solver ← uses 1e
The hybrid constraint solver operates over mixed Boolean/integer variable domains.

CITATIONS

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3 citations — click to collapse
[1] Mixed Boolean/integer variable domains combine Boolean and integer variables and are discussed as the domain for efficient constraint solving in the cited work. Stimulus generation for constrained random simulation
[2] In constrained random simulation, input stimuli are randomly generated subject to declaratively specified input constraints. Stimulus generation for constrained random simulation
[3] The cited work states that overall efficiency depends critically on solver performance and the distribution of generated solutions, and it proposes a hybrid solver based on Markov-chain Monte Carlo methods for mixed Boolean/integer variable domains. Stimulus generation for constrained random simulation