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Runge-Kutta methods are widely used and popular solutions method for scientific simulations based on differential equations and, thus, their efficient execution is crucial for many applications. Today ...
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 ...
To investigate the aerothermoelastic behavior of the plate, the 4 th order Runge-Kutta numerical method has been utilized. The evaluation of the obtained results in comparison with those available in ...
An interactive visualization of the SEIR (Susceptible-Exposed-Infectious-Recovered) model using Matplotlib. The simulation allows real-time parameter adjustments via sliders and text boxes, making it ...
Keywords: Runge–Kutta–Nyström methods phase-fitted amplification-fitted integrals Schrödinger phase-lag infinity PACS: 0.260, 95.10.E ...
The Taguchi method is a quality control approach in engineering that emphasizes product design and development to ensure efficiency, consistency, and reliability. Developed by Genichi Taguchi, the ...
Pseudospectral Time Domain Method Implementation Using Finite Difference Time Stepping - IEEE Xplore
The higher order time derivative methods slow down the computation speed at each step by several folds. In this letter, we show that central finite differences can be used for implementation of time ...
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