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Let R r (n 1,…,n k,f) be the number of ranked trees resolving a constraint tree defined by the tuple (n 1,…,n k,f).
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We say that a ranked X‐tree T 1 = (T 1, h 1 ) resolves a constraint X‐tree T 2 = (T 2, h 2 ) if there is an isomorphic embedding of T 2 into T 1, i.e., there is an injective mapping f:V 2 →V 1 such that ● ϕ 1 (x)=f(ϕ 2 (x)) for each x∈X, ● v ≤ T 2 u iff f (v ) ≤ T 1 f (u ) for each u,v∈V 2, and ● h 2 (v ≤h 2 (u) implies h 1 (f v))≤h 1 (f u)) for each u, v ∈ V 2 ∘.
The number of trees in each group is the number of trees that resolve a constraint tree defined by (2,3,{(2,1)}) and shown on the right of Figure 5.
It is possible that the high concentration of mate constraints, or the combination of mate distances, enabled CABOG to resolve a single-scaffold assembly.
The ResolverImpl class which has more than 2,000 lines of code is an important class responsible for resolving the constraints of the bundles (JAR components) in a system that follows the OSGi standard (Tavares and Valente 2008).
Resolve a problem?
We wish to calculate the number of ranked trees that resolve a given constraint tree T = (T, ϕ, h ).
Complementary strategies for resolving these constraints for perennial crop breeding are therefore required.
After resolving the constraints derived from the interaction effects, we identified 114 possible regulatory functions for c-di-GMP and 2 for MlrA.
Next, we extend the ESPC to constraint-partitioned MINLPs and propose a partition-and-resolve strategy for resolving violated global constraints across subproblems.
A variety of ways for resolving constraints currently exist.
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