Results 21 to 30 of about 10,133,028 (343)
Solution for Second-Order Differential Equation Using Least Square Method
Eurasian Journal of Science and Engineering, 2022 This paper studies the numerical method for solving differential equations. The continuous least square method (CLSM) is used to obtain the explicit solution for solving ordinary differential equations (ODEs), partial differential equations (PDEs), and ...
Salisu Ibrahim, Abdulnasir Isah
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A Frequency-domain Correlation Distributed Diffusion Least Mean Square Algorithm [PDF]
Jisuanji gongcheng, 2022 Least Mean Square(LMS) adaptive filtering algorithms with mean square error as the cost function have the advantages of simple structure, easy implementation, low computational complexity, and good stability.During estimation of the impulse response of ...
CHEN Huang, CHEN Rui, KUANG Zhufang, HUANG Huajun
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Partial least square regression applied to the QTLMAS 2010 dataset [PDF]
, 2010 Detection of genomic regions affecting traits is a goal in many genetic studies. Studies applying distinct methods for detection of these regions, called quantitative trait loci (QTL), have been described, ranging from single marker regression [1] to ...
Calus, M.P.L. +3 more
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The Conjugate Gradient Least Square Algorithm in Terahertz Tomography
IEEE Access, 2021 Terahertz tomography allows for non-contact tomographic inspection of dielectric materials without the need for radiation protection measures. Terahertz tomography offers the opportunity to inspect such objects from multiple angles not only by measuring ...
Karl H. May +3 more
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Ridge Shrinkage Estimators in Finite Mixture of Generalized Estimating Equations. [PDF]
Mathematics and Modeling in Finance, 2022 The paper considers the problem of estimation of the parameters in nite mixture models.In this article, a new method is proposed for of estimation of the parameters in nite mixture models. Traditionally, the parameter estimation in nite mixture models
Sajad Nezamdoust, Farzad Eskandari
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Least Orthogonal Distance Estimator and Total Least Square for Simultaneous Equation Models
Statistica, 2014 Least Orthogonal Distance Estimator (LODE) of Simultaneous Equation Models’ structural parameters is based on minimizing the orthogonal distance between Reduced Form (RF) and the Structural Form (SF) parameters.
Alessia Naccarato +2 more
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Gated Dehazing Network via Least Square Adversarial Learning
Sensors, 2020 In a hazy environment, visibility is reduced and objects are difficult to identify. For this reason, many dehazing techniques have been proposed to remove the haze.
Eunjae Ha, Joongchol Shin, Joonki Paik
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Least squares auto-tuning [PDF]
Engineering Optimization, 2020 Least squares is by far the simplest and most commonly applied computational method in many fields. In almost all applications, the least squares objective is rarely the true objective. We account for this discrepancy by parametrizing the least squares problem and automatically adjusting these parameters using an optimization algorithm.
Shane T. Barratt, Stephen P. Boyd
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Energies, 2019 With the popularity of electric vehicles, lithium-ion batteries as a power source are an important part of electric vehicles, and online identification of equivalent circuit model parameters of a lithium-ion battery has gradually become a focus of ...
Xiangdong Sun +4 more
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Maximally selected chi-square statistics for at least ordinal scaled variables [PDF]
, 2005 The association between a binary variable Y and a variable X with an at least ordinal measurement scale might be examined by selecting a cutpoint in the range of X and then performing an association test for the obtained 2x2 contingency table using the ...
Boulesteix, Anne-Laure
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