Image-Edge-Detection-with-Taylor-Series-and-Finite-Difference This Python project implements Taylor series derivatives and finite difference methods to detect edges in images, efficiently highlighting ...
First-order derivatives: n additional function calls are needed. Second-order derivatives based on gradient calls, when the "grd" module is specified (Dennis and Schnabel 1983): n additional gradient ...
This repository contains the code base for the FEniCSx finite-element implementation of the large deformation theory we developed for electro-magneto-elasticity in the eddy current approximation. This ...
The FD= and FDHESSIAN= options specify the use of finite difference approximations of the derivatives. The FD= option specifies that all derivatives are approximated using function evaluations, and ...
Abstract: Differential microphone arrays (DMAs) have demonstrated great advantages in high-fidelity acoustic signal acquisition and enhancement due to their capability to capture both the acoustic ...
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