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In our experiments we make comparative evaluation between the two cost frameworks.
This suggests that the additive rule that we used in both the cost frameworks, and the technique to estimate the node and edge weights, renders the efficacy of the partitioning algorithm sensitive to the properties of the LP graph.
As seen in Figure 3, the optimum values of μ for the two cost frameworks are different: about 100 for the first method and about 1000 for the second method.
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The issue is examined principally around the transaction cost framework.
In this work we focus on the additive cost framework described in (Kurve et al. 2011a) (See Appendix Appendix B: a local cost function) and the alternative cost framework (See Appendix Appendix C: an alternate cost framework).
that is used to support the arguments why the COST framework is important to the ERA.
The partition refinement algorithm utilizes the cost framework developed in the game theoretic study.
The cost framework provides a useful tool for determining opportunities for cost minimization.
This cost framework can be extended to SOFC power systems involving gas turbine combined cycles as well.
In synchronous transfers which we refer to as a refinement step, LPs take turns to evaluate their costs and the prospective new machine based on the cost framework.
In order to obtain accurate costing, it is necessary to establish a thoughtful cost framework based on the critical parameters of the facility.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com