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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 ...
runge_kutta_example is a complete implementation of a Runge-Kutta integrator including model training and prediction; runge_kutta_save_training trains the trainable coefficients on the training data ...
🔥 Rankify: A Comprehensive Python Toolkit for Retrieval, Re-Ranking, and Retrieval-Augmented Generation 🔥. Our toolkit integrates 40 pre-retrieved benchmark datasets and supports 7+ retrieval ...
A Runge–Kutta type four-step method with vanished phase-lag and its first and second derivatives for each level for the numerical integration of the Schrödinger equation. Ibraheem Alolyan and T. E.
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