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This iterative algorithm is of low complexity, based on local optimality for each additional assignment.
DCA is a continuous primal dual subgradient approach based on local optimality and duality in DC programming for solving standard DC programs ((P_{mathrm{dc}}).) DCA's philosophy.
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Note: Percentage levels based on local currency.
** Calculation based on local currency estimates.
Local trainers refine curriculum based on local needs.
Schemes based on local resources are scarce.
Antibiotics were chosen based on local antibiograms.
Cut points based on local laboratory values.
In this paper, a general approach based on "locally penalized" D-optimality (LPD-optimality) is proposed, which simultaneously minimizes the variances of the model parameter estimators.
We use an iterative regression method, which in each iteration chooses one transcription factor based on an optimality criterion, and adds it to the non-linear regression ensemble.
Local fibre orientation angles are treated as continuous design variables, and their spatial distribution is determined based on an optimality criterion formulation for minimum compliance design.
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