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The equifugacity equation is reformulated through global fixed-point homotopy.
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Sun et al. argue that DRR should be place- and age-responsive, and their study shows how the concept and contents of DRR may be reformulated through applying a collaborative place audit (CPA) and social vulnerability index (SVI).
Through an application of Karush-Kuhn-Tucker conditions, the problem is reformulated as a convex one.
Specifically, Problem (2.1) is reformulated as (2.3).
If, then (1.4) is reformulated as (1.7).
then system (1.3) is reformulated as: (4.2).
The problem is reformulated in terms of reinforcement learning.
DRR is reformulated to be place- and age-responsive.
Therefore, the MMSE detector in (37) is reformulated as (45).
In that case, the initial query is reformulated.
The problem is reformulated in dimension-free quantities.
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