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To tackle this fair minimum cost allocation problem we analyze and solve it in two parts using two novel polynomial-time algorithms.
We show that despite the new fairness criterion, the proposed algorithms can solve the fair minimum cost allocation problem optimally in polynomial-time.
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We applied a simulation-optimization approach for i) evaluation of retention forestry practices applied in the region, ii) creation of forest reserves with a minimum eligible area for biodiversity conservation and establishing a connecting corridor with minimum cost, and iii) allocation of deadwood islands inside the connecting corridor with minimum cost.
Ideally, indirect costs should be allocated based on cost drivers that cause the minimum amount of distortion in cost allocation.
Dorndorf et al. [6] studied the optimal allocation of static machine error around the minimum cost, in which considering the probability characteristics of the errors.
First, the administrator of the river basin calculates an optimal pollutant reduction allocation for the whole basin that meets water quality standards at the minimum cost to the environment.
They can be used for generating plans for energy resource/electricity/heat allocation and capacity expansion and help decision makers identify desired regional electricity and heat supply which need minimum cost under various standards of pollutants emission reduction control.
Total minimum cost: $16,000.
Minimum cost, $1,230 for two lines.
The minimum cost of an order is $40.
A liberal group, Citizens for Tax Justice, pegs the minimum cost at $4.8 trillion.
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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