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Table 3 Computational impact analysis for the reduced chloride ingress model.
Computational impact analyses based on deterministic methods are incapable of predicting the experimentally observed probabilistic fabric impact response.
However, computational impact sensitivity (h50) has a great derivative with experimental BAM test impact sensitivity value for recently synthesized 2-amino-5-nitrotetrazole, which is ANTz's isomer.
An analysis of the computational impact of the quality of the initial guess vs. that of the order of the method was also done, providing clues for further research and optimisations (e.g. asteroids, long period comets, multi-revolution cases).
This chapter discusses the application of computational impact biomechanics to the consequences of real world passenger car accidents on human occupants, using computer models in numerical simulations with industrial crash codes.
In this paper, AD is applied to a three-dimensional thin-layer Navier Stokes multigrid flow solver to assess the feasibility and computational impact of obtaining exact sensitivity derivatives with respect to algorithmic and physics modeling parameters typical of those needed for sensitivity analyses.
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In practical systems, the computational complexity impacts the latency, the throughput, and the power consumption of the device.
In addition, uncertainty budget would also impact computational performance of the proposed robust model.
We introduce echelon-flow-based valid inequalities and use them to explicate the extent to which problem characteristics impact computational tractability.
Our method uses the edge-indexed method for all calculations and therefore greatly reduces computational load without impact on detection performance, improves calculation accuracy especially on the mixed flow, and provides pixel-wise consistence for all calculations so that the stereo depth, the mixed flow, and the ego-motion flow can be compared pixel by pixel.
This paper presents a comprehensive survey on application of various conventional, optimization and artificial intelligence (AI) based computational techniques for impact assessment of optimally placed and coordinated control of distributed generations (DGs) and flexible AC transmission systems (FACTS) controllers in power systems (PSs).
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