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Designing algorithms capable of efficiently constructing minimal models of Conjunctive Normal Form theories (CNFs) is an important task in AI.
( (p :{mathcal {X}}rightarrow T)) is a flat family in a given category (a smooth family for the case of minimal models of surfaces of general type).
Topological maps correspond to the minimal models of an axiomatic theory describing the relationships between the different sources of information explained by a map.
Computational studies employing minimal models of the catalytically active sites, suggest how the Brønsted acidity may lead to these detrimental pathways.
This parameterization provides an excellent starting point for construction of minimal models of these proteins as well as the de novo design of proteins with novel functions.
The situation for the minimal models of surfaces of general type is different, because then the subset of the moduli space where one has a fixed differentiable type is not closed, as showed in [33].
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I think it's important to teach the IS-LM model as a starting point, because done right, it makes it clear that what we're basically doing is the minimal model that has goods, bonds, and money — that there is nothing arbitrary about the whole thing, that this is basically what you have to do if you want a minimal model of the things that matter for short-run macro.
Therefore, a minimal model of disk brake squeal must contain at least two degrees of freedom.
This model is obtained by considering an adjustment of the minimal model of Bergman.
The schema generalizes the Elimination Algorithm (EA) [5], which computes a minimal model of positive head-cycle-free (HCF CNFF theories.
An algorithmic schema, called the Generalized Elimination Algorithm (GEA) is presented, that computes a minimal model of any positive CNF.
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