Results 31 to 40 of about 419,205 (270)
A Least-Squares Method for Sparse Low Rank Approximation of Multivariate Functions [PDF]
SIAM/ASA Journal on Uncertainty Quantification, 2015 In this paper, we propose a low-rank approximation method based on discrete least-squares for the approximation of a multivariate function from random, noisy-free observations. Sparsity inducing regularization techniques are used within classical algorithms for low-rank approximation in order to exploit the possible sparsity of low-rank approximations.
M. Chevreuil, R. Lebrun, A. Nouy, P. Rai
openaire +4 more sources
SensorsIn this paper, the optimal approximation algorithm is proposed to simplify non-linear functions and/or discrete data as piecewise polynomials by using the constrained least squares.
Jieun Song, Bumjoo Lee
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Coding Prony’s method in MATLAB and applying it to biomedical signal filtering
BMC Bioinformatics, 2018 Background The response of many biomedical systems can be modelled using a linear combination of damped exponential functions. The approximation parameters, based on equally spaced samples, can be obtained using Prony’s method and its variants (e.g.
A. Fernández Rodríguez +5 more
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AIMS Mathematics, 2020 This paper proposes novel single and double integral inequalities with arbitrary approximation order by employing shifted Legendre polynomials and Cholesky decomposition, and these inequalities could significantly reduce the conservativeness in stability
Deren Gong +4 more
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Mathematics, 2023 In order to obtain the numerical results of 3D convection-diffusion-reaction problems with variable coefficients efficiently, we select the improved element-free Galerkin (IEFG) method instead of the traditional element-free Galerkin (EFG) method by ...
Heng Cheng, Zebin Xing, Yan Liu
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A Robust Method for Gaussian Profile Estimation in the Case of Overlapping Objects
IEEE Access, 2021 The precise stellar object identification is one of the major research fields in astronomy. In astronomical images, the 2D Gaussian function provides a good approximation of stellar objects.
Anita Gribl, Davor Petrinovic
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Empirical Likelihood Confidence Region for Parameters in Semi-linear Errors-in-Variables Models [PDF]
, 2006 This paper proposes a constrained empirical likelihood confidence region for a parameter in the semi-linear errors-in-variables model. The confidence region is constructed by combining the score function corresponding to the squared orthogonal distance
Cui, Hengjian, Kong, Efang
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Therapeutic Apheresis and Dialysis, EarlyView.ABSTRACT Background Chronic kidney disease is a growing public health problem worldwide, and the number of patients requiring renal replacement therapy is steadily increasing. Türkiye has experienced a similar rise in both the incidence and prevalence of renal replacement therapy over the past decades; however, national‐level projections of future ...
Arzu Akgül +2 more
wiley +1 more source
Labor-capital relations in the construction sector in Poland [PDF]
Urbanism. Arhitectura. Constructii, 2015 The aim of this paper is to estimate the Cobb-Douglas production function and the CES (constant elasticity of substitution) function for the construction sector in Poland. The period since 2002 is analyzed.
Krzysztof Drachal
doaj
A computationally efficient non‐iterative four‐parameter sine fitting method
IET Signal Processing, 2021 A computationally efficient four‐parameter least squares (LS) sine fitting method in the time domain is presented here. Unlike the most widespread procedure defined in the relevant IEEE standard, the proposed fitting is non‐iterative. This is achieved by
Balázs Renczes, Vilmos Pálfi
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