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The current paper first examines weighted additive performance of two-stage process and then extends the methodology to examine general network structures.
This framework is based on the concept of nested quantum walks recently proposed by Jeffery, Kothari and Magniez (2013) [12], and extends the methodology designed by Lee, Magniez and Santha (2013) [18] for similar problems over graphs.
In particular, this study confronts critical problems of practical interest and extends the methodology to address the inclusion of nonlinear coupled systems in which the parameters of interest can be frequency-dependent.
This paper extends the methodology for treating the resonance self-shielding effect of doubly heterogeneous (DH) tristructural-isotropic fuel particles to take the coating layers of fuel grains into account.
The paper extends the methodology of "kriging" (linear estimation theory applied to random functions) to simulation of a local field of earthquake ground motions, consistent with given information about the motions' frequency content and space-time correlation, at an arbitrary set of locations on the free-field surface.
In this section, we derive an alternative distributed PF based on random information dissemination that extends the methodology in[2] to a Monte Carlo framework.
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We also extend the methodology to the discussion of alternative profitable scenarios and their associated risk.
Then, we extend the methodology to analyze the seepage characteristics of slug flow in fractal porous media.
Here we extend the methodology to demonstrate that the same approach can be used to study clinical pain states.
Polynomial approximation based on Legendre polynomials is used to extend the methodology to a more general class of nonlinear systems.
We extend the methodology to take advantage of this development and show details of the implementation of each method in a commercial computational fluid dynamics code.
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