This repository is provided as a tutorial for the implementation of integration algorithms of first and second order ODEs through recurrent neural networks in Python. The first order example ...

where Niare the interpolation functions, and d' i represent it the nodal displacement rates (Thomton etal., 1990, Bass and Oden , 1987). Using the strain-displacement equations in the rate form, the ...

Kidney function was similar across trials (with median eGFR ranging from 74 to 80 mL/min per m 2). Median HbA 1c was lowest in REWIND and ELIXA (7·1% and 7·7%, respectively) and highest in LEADER, ...

This paper proposes a new Kalman-filter-based recursive frequency estimator for discrete-time multicomponent sinusoidal signals whose frequencies may be time-varying. The frequency estimator is based ...

Transform your text processing workflows with industry-leading performance: AI Researchers: Accelerate RAG document preprocessing by 150x Bioinformaticians: Process genome-scale datasets at 32+ GB/s ...

Two novel methods for implementing recursively the convolution between the electric field and a time dependent electric susceptibility function in the finite-difference time domain (FDTD) method are ...