Numerical simulations in physics often require estimating a multitude of parameters, making the process computationally expensive and complex. Researchers at University of Tsukuba have introduced a ...
OpenAI recently unveiled its latest artificial intelligence (AI) models, o1-preview and o1-mini (also referred to as “Strawberry”), claiming a significant leap in the reasoning capabilities of large ...
This study addresses the problem of parameter estimation for a one-dimensional reaction-diffusion equation, involving both unknown domain parameters and unknown boundary parameters. The proposed ...
The probability integral method is one of the most widely used methods for predicting surface subsidence induced by underground mining in China. In its parameter calculation, the least square ...
Abstract: In this paper, the parameters of the geared PMDC motor are estimated using the interior point algorithm (IPA). The problem of parameter estimation is converted to an optimization problem.
BatEst can be used to parameterise low-order battery models from time-series data. Matlab (version R2023a) Optimization Toolbox (version 9.5) System Identification Toolbox (version 10.1) Signal ...
Abstract: This document presents the implementation of a con- tinuous population genetic optimization algorithm (CGA) as a solution method to the parameter estimation problem of a diode model (SDM) of ...
PESTO is a widely applicable and highly customizable toolbox for parameter estimation in MathWorks MATLAB. It offers state-of-the art algorithms for optimization and uncertainty analysis, which work ...
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