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Commercial properties, which account for most of the tax refunds, entail another set of valuation complexities.
"This rotation appears to have been partially unwound in the recent rally, but has left a set of valuation relationships, which, in our view, are unsustainable".
Stated preference researchers have previously demonstrated that a good's placement among a sequence of goods in a set of valuation questions (i.e. proximal order effects) can have a substantial impact on people's valuations of these different goods.
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Predicate derived based on a selected set of valuations.
For x ∈ X, R x ⊆ R denotes the set of input parameters and D Rx denotes the set of valuations of the parameters over the set R x.
Reachability Valuation Defines the set of valuations of the input variables that trigger the execution of expression, where can be a condition, decision, or a basic block.
Defines the set of valuations of the input variables that have been generated with structural code coverage analysis done at source-code level.
Consider an abstraction M B for B and P x, here we consider three ways for constructing and adding to the set B a new predicate B′ so that a refined abstraction M D is derived using D = B ∪ B′ and P x. (1) Predicate derived based on a selected set of valuations Consider the sets of configurations C′ and C′′ with their corresponding sets of valuations V t and V r, respectively.
Let V ′ ⊂ D V be a selected set of valuations, construct a predicate B ′ ∉ B such that for every valuation v ∈ V ′, v | = B ′ and for every v ∈ D V V ′, v | ≠ B ′, and derive an FSM abstraction M D using D = {B 1, B 2} ∪ {B ′}.
For (s in k^{times }), we let (V^k(s)) denote the finite set ({ v in V^k{setminus }V_{infty }^k vert v(s) ne 0 }.) Let us fix a finite set of valuations (S subset V^k) containing (V_{infty }^k cup V^k(2) cup V^k(delta )), as well as all those nonarchimedean (v in V^k) for which at least one of (alpha, beta, gamma ) has a negative value.
In any case, the set of valuations (V) for which one can prove the finiteness of (_nmathrm{Br}(K _V) is rather special and arises from geometric considerations; at the same time, one can relate the size of (mathbf{gen}(D)) to that of (_nmathrm{Br}(K _V) in a much more general context (which is our main motivation for separating the two parts of the argument).
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Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.

Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com