Results 31 to 40 of about 1,509,637 (194)
New Possibilities and Applications of the Least Squares Collocation Method
EPJ Web of Conferences, 2018 Least squares collocation method (LSC) is a versatile numerical method for solving boundary value problems for PDE. The present article demonstrates the abilities of LSC to solve various problems – in particular, calculations of bending of isotropic ...
Shapeev Vasiliy +3 more
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A robust partial least squares method with applications [PDF]
, 2007 Partial least squares regression (PLS) is a linear regression technique developed to relate many regressors to one or several response variables. Robust methods are introduced to reduce or remove the effect of outlying data points.
González, Javier +2 more
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Identification of the Fractional-Order Systems: A Frequency Domain Approach [PDF]
Acta Montanistica Slovaca, 2011 The paper deals with a comparison of different optimization methods to identification of fractional order dynamical systems.The fractional models of the examples of physical systems - ultracapacitors - are established.
Andrzej Dzieliński +5 more
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A Note on Separable Nonlinear Least Squares Problem
, 2011 Separable nonlinear least squares (SNLS)problem is a special class of nonlinear least squares (NLS)problems, whose objective function is a mixture of linear and nonlinear functions.
Al-Mushayt, Omar Saeed, Gharibi, Wajeb
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Adaptive Phasor Estimation Algorithm Based on a Least Squares Method
Energies, 2019 This paper proposes an adaptive phasor estimation algorithm based on a least square method that can suppress the adverse effect of an exponentially decreasing DC offset component in a phasor estimation process. The proposed algorithm is composed of three
Woo-Joong Kim +2 more
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Dual system least squares finite element method for the Helmholtz equation
Results in Applied Mathematics, 2021 This paper uses LL∗method to solve Helmholtz equation in case when the frequency parameter is large. The Helmholtz equation is reformulated to the first order system by introducing a new variable and then the corresponding dual problem is considered. The
Nuree Song, Eunjung Lee
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A Proximal-Gradient Homotopy Method for the Sparse Least-Squares Problem [PDF]
, 2012 We consider solving the $\ell_1$-regularized least-squares ($\ell_1$-LS) problem in the context of sparse recovery, for applications such as compressed sensing. The standard proximal gradient method, also known as iterative soft-thresholding when applied
Xiao, Lin, Zhang, Tong
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On-line nonparametric regression to learn state-dependent disturbances [PDF]
, 2003 A combination of recursive least squares and weighted least squares is made which can adapt its structure such that a relation between in- and output can he approximated, even when the structure of this relation is unknown beforehand.\ud This method can ...
Kruif, Bas J. de, Vries, Theo J.A. de
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LEAST – SQUARES METHOD FOR ESTIMATING DIFFUSION COEFFICIENT
International Journal of Industrial Engineering and Production Research, 2007 Determining the diffusion coefficient based on the solution of the linear inverse problem of the parameter estimation by using the Least-square method is presented.
Abdolsadeh Neisy
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Least – Squares Method For Estimating Diffusion Coefficient
International Journal of Industrial Engineering and Production Research, 2008 : Determination of the diffusion coefficient on the base of solution of a linear inverse problem of the parameter estimation using the Least-square method is presented in this research.
A. Neisy
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