Abstract: In this work, a new method is proposed to derive the initial approximate model for a multifidelity (MF) surrogate optimization. Specifically, the proposed method is trained using a set of ...
Python library for simulating dynamics and Koopman-based learning of dynamical models. The code in this repository was prepared to implement the methodologies described in C. Folkestad, D. Pastor, I.
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Abstract: We have identified a general class of nonlinear stochastic optimal control problems which can be reduced to computing the principal eigenfunction of a linear operator. Here we develop ...
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Comparative DFT computations were studied between Paracetamol (PA) and its analogues such as p-nitroace- tanilide (PA-NO2), p-bromoacetanilide (PA-Br) and N-acetylanthranilic acid (NAA) which can be ...
A question that arises often when discussing the optimal role of science in medicine is the precise role of plausibility, or prior probability. This is, in fact, the central concept that separates ...