.../ ), which permits unrestricted reuse, distribution, and reproduction in any medium, provided the original work is properly cited. Abstract Acquiring aerodynamic coefficients of a high-speed train considering its shape parameters and environmental yaw angles typically requires resource-intensive model tests...

... Carlo (MC) and Multilevel Monte Carlo (MLMC) methods applied to partial differential equations with random coefficients. These arise, for example, in groundwater flow modelling, where a commonly used model for the unknown parameter is a random field. We use the circulant embedding procedure for sampling...

... PDE with smooth coefficients and right-hand side, and prove that it contains high-order approximations of all smooth PDE solutions. While the definition and the approximation properties of this space only require the governing PDE to have -smooth coefficients and right-hand side, being...

... To investigate the hydrodynamic coefficients of the fully appended DARPA SUBOFF model under various motion modes, this study develops user-defined functions within a computational fluid dynamics (CFD) model to simulate sting-supported planar motion mechanism tests. A dimensionless yawing velocity (r...

... to incorporate time-varying covariates with time-varying coefficients. Since backwards recurrence survival methods are a function of mean survival, computational difficulties arise in formulating mean survival when fertility treatment is unobserved, i.e. when TTFT is censored. We address these challenges...

... measures of infection activity to estimate excess deaths. Particularly, the inclusion of time-varying coefficients allows us to better characterize associations between infection activity and mortality counts time series. Software to implement this method is available in the R package NBRegAD . Applying...

... as catalyst. Table 2 shows values for forward and backward reaction activation energies as well as frequency factors in both directions. In addition, it gives coefficient of determination for palmitic acid esterification with different FILs as catalyst. The activation energy of forward reaction for palmitic...

... Abbreviations: CV, coefficients of variation; EIA, enzyme immunoassay; fGCM, faecal glucocorticoid metabolite; GC, glucocorticoid; GCM, glucocorticoid metabolite; HMC, human–mugger conflict; LME, linear mixed effect; OD, optical density Island Foundation, USA URBSASE20B2/FC/20-21/02_RG Rufford Small...

... and conversion coefficients (CCs), in terms of absorbed organ dose per unit patient air kerma area product (P_KA), as reported by the x-ray system, to the operator’s eye lens ^29–31 and brain, ³² as well. Other studies derived CC: s for estimating the dose to the brain...

... related to the F-statistics draw from studies of the partitioning of variation, identity coefficients, and diversity measures. Relationships between the first two approaches have recently been clarified and unified. This essay addresses the third pillar of the discussion: Nei’s G S T...

... low-frequency seismic attenuation and the influence of fluid saturation on frequency-dependent reflections. Among present methods for the numerical solution of the corresponding DV wave equation, the finite-difference frequency-domain (FDFD) method with complex-valued adaptive coefficients (CVAC) has...

...) and F₀F₁-ATP synthase lactate and lactic acid biomass yield coefficients based on ATP Nath’s two-ion theory of energy coupling and torsional mechanism of ATP synthesis Nath’s unified theory of ATP synthesis/hydrolysis Warburg-Nath ratio; Nath-Warburg number, NaWa; metabolic regulation based on ATP...

...Zhaolin Zhu; Guoning Wu; Yaxin Gu; Jinliang Huang; Zhihao Chen; Haotian Lu Abstract The discrete cosine transform is a commonly used technique in the field of signal processing that employs cosine basis functions for signal analysis. Traditionally, the regression coefficients of the cosine basis...

... (WR: 65.97%, WL: 68.38%, and SG: 4.12%). Additionally, optimal retention of optical and mechanical properties was achieved in the coated samples exposed to the 40 °Brix-40 °C condition. Graphical Abstract Graphical Abstract Effective diffusion coefficients mass transfer optical and mechanical...

... (SDEs) with super-linearly growing coefficients. Following Milstein’s weak error analysis on the one-step approximation of SDEs, we prove a general result on weak convergence of the one-step discretization of the SDEs mentioned above. As applications, we show the weak convergence rates for several...

...Weiting Peng; Jianping Huang; Yi Shen Corresponding author: Jian-ping Huang. E-mail: [email protected] 07 06 2023 31 01 2023 01 06 2023 23 08 2023 optimal finite-difference coefficients low-wavenumber dispersion error Lagrange dual problem Polit National Laboratory for Marine...

... Nu_F. is two-phase frictional multiplier, H(ε) is a function of void fraction ε, Ga is a Galieo number, and Ja is a Jacob number. Where n is the number of data points, α_p is the predicted heat transfer coefficient and α_m...

... performance. nonconvex optimization nonasymptotic estimates artificial neural networks ReLU activation function taming technique super-linearly growing coefficients discontinuous stochastic gradient In this paper, we focus on nonconvex stochastic optimization problems. More precisely, for positive...

... preconditioners designed for elliptic problems with highly heterogeneous coefficients, and the subdomain interactions are via the interface problem. The interface problem has two components, a local one with degrees of freedom on the interface of the subdomains and a global one based on a few generalized...

... estimation with different time windows. The data used in these plots are collected from 10 simulations, each with a different set of selection coefficients. Fig. 3. Estimated covariance can improve inference of selection coefficients with ample data. (a) Spearman’s rank correlation coefficients and (b) MAE...