In this paper, we present a new formulation, based on the arc-chain representation, for optimally routing the specified traffic over a given logical topology to minimize the congestion of the network.
An optimization strategy is presented and optimally controlled unit operations are specified through minimization and allocation of exergy costs.
Two types of receiver faults have been assumed in discussions on the spatial correlation between the ΔCFF due to large earthquakes and the subsequent aftershock distribution: a specified receiver fault and an optimally oriented receiver fault.
In this work, an artificial neural network approach is employed to determine implicit limit state functions for reliability evaluations in performance-based design and to optimally evaluate a set of design variables under specified performance criteria and corresponding desired reliability levels in design.
Measures of neuropsychological outcome are optimally characterized as they relate to behavioral domains specified in terms of the competencies of infants and children of different ages; relevant information is derived from demographic, socioeconomic, medical, developmental, and educational sources, as well as from detailed observational data and performance on psychological tests.
However, how to optimally place multi-parts (with same or different geometries) into a specified build space or onto the build platform with respect to user-defined objectives is a complex NP-hard problem.
We explicitly specified that our simulations were based on the assumption of "optimally titrated CPAP use".
A few studies take on the more challenging task of determining the optimally cost-efficient strategy at a certain budget, on the basis of specified costs for collecting data at different stages, and specified sizes of the corresponding variance components.
Another way is to assume optimally oriented receiver faults, which are determined so as to maximize the ΔCFF under the specified local/regional stress field (King et al. 1994).
In the sensitivity analysis part, the weightage of the PDAs were systematically varied within a specified range to assess the response of different friction materials so as to optimally design materials for varied friction applications.
