Abstract: The inverse dynamics of the six degree-of-freedom (6-DOF) parallel robot (PR) presents an inherent complexity due to the closed-loop kinematic chains. To derive computational efficient ...
The numerical integration of stiff equations is a challenging problem that needs to be approached by specialized numerical methods. Exponential integrators form a popular class of such methods since ...
ABSTRACT: In this paper, we investigate a meshless approximation, the interpolating element-free Galerkin method, for an optimal control problem governed by fourth-order parabolic partial differential ...
Whenever a new AI tool comes out, thousands of users rush to test it, trip it up, and figure out what it’s capable of. This week, it’s Google’s turn, as members test out various tiers and features of ...
Analysis and numerical approximation of the fractional-order two-dimensional diffusion-wave equation
Non-local fractional derivatives are generally more effective in mimicking real-world phenomena and offer more precise representations of physical entities, such as the oscillation of earthquakes and ...
Transformer architectures have demonstrated impressive performance improvements since their introduction in 2017 and are now the standard in the natural language processing and computer vision ...
In machine learning, the scale of our features is a key component in building models. When we work with data from applications, we have to accept it as it is. In most cases, we cannot control where ...
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