With the market intelligence above, I’m looking for NFLX stock to reach roughly $1,236 in short order. If the bulls maintain ...

Proteins mediate their functions through chemical interactions; modeling these interactions, which are typically through sidechains, is an important need in protein design. However, constructing an ...

3) Estimates of discretization errors are of an a posteriori type and are based on Richardson extrapolation (Richardson, 1910; Roache, 1994; Blottner, 1990; Oberkampf and Trucano, 2002), which uses ...

One-dimensional (1D) spatial discretization of the SOFC is carried out along the gas flow direction, and the mass and energy conservation equations for each small-volume element are separately ...

LFD is a data-driven discretization technique that does not require any user input. LFD uses low frequency values as cut points and thus reduces the information loss due to discretization.

Most supervised discretization methods rely on category labels. However, in practical applications, supervisory information is not always category labels, it may also be continuous variables. Existing ...

Here, we introduce a quantum algorithm that quadratically improves spatial discretization within these constraints. Implemented in the quantum software library Pennylane, our algorithm bridges the gap ...

Based on a proposed surface-independent discretization approach, the present study investigates how unsought gaps affect the response of boundary element models of linear elasticity problems. The ...

ABSTRACT: This paper is concerned with the discretization of the fractional-order differentiator and integrator, which is the foundation of the digital realization of fractional order controller.