Results 1 to 10 of about 1,012,781 (161)
Computation of distribution of relaxation times by Tikhonov regularization for Li ion batteries: usage of L-curve method [PDF]
Scientific Reports, 2021 In this paper, the distribution of relaxation times (DRTs) functions are calculated numerically in Matlab for synthetic impedance data from single parallel $$RC$$ RC circuit and two parallel $$RC$$ RC circuits connected in series, experimental impedance ...
T. Paul +3 more
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Regularized Cubic B-Spline Collocation Method With Modified L-Curve Criterion for Impact Force Identification [PDF]
IEEE Access, 2020 The time history of the impact force, especially for the peak force, is vital to monitor the performance of mechanical products over the life-time. However, considering the limitation of sensing technology and inaccessibility of installing, it is always ...
Jie Liu +3 more
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A Mathematical Analysis of New L-curve to Estimate the Parameters of Regularization in TSVD Method [PDF]
پژوهشهای ریاضی, 2015 A new technique to find the optimization parameter in TSVD regularization method is based on a curve which is drawn against the residual norm [5]. Since the TSVD regularization is a method with discrete regularization parameter, then the above-mentioned ...
A.R. Keshvari, S.M Hosseni
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Determination of Smoothing Factor for the Inversion of Co-seismic Slip Distribution [PDF]
Journal of Geodesy and Geoinformation Science, 2020 For the determination of the smoothing factor (also known as the regularization parameter) in the co-seismic slip distribution inversion, the compromise curve between the model roughness and the data fitting residual is generally used to determine (in ...
Leyang WANG,Xiong ZHAO
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A simplified L-curve method as error estimator [PDF]
ETNA - Electronic Transactions on Numerical Analysis, 2020 The L-curve method is a well-known heuristic method for choosing the regularization parameter for ill-posed problems by selecting it according to the maximal curvature of the L-curve. In this article, we propose a simplified version that replaces the curvature essentially by the derivative of the parameterization on the $y$-axis.
Stefan Kindermann 0001, Kemal Raik
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Observation Selection, Total Variation, and L-Curve Methods for LiDAR Data Denoising [PDF]
Advances in Meteorology, 2022 In this article, we propose a light detection and ranging (LiDAR) data denoising scheme for wind profile observation as a part of quality control procedure for wind velocity monitoring and windshear detection. The proposed denoising scheme consists of several components.
Jie Zhang, Pak Wai Chan, Michael K. Ng
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An Improved Tikhonov-Regularized Variable Projection Algorithm for Separable Nonlinear Least Squares
Axioms, 2021 In this work, we investigate the ill-conditioned problem of a separable, nonlinear least squares model by using the variable projection method. Based on the truncated singular value decomposition method and the Tikhonov regularization method, we propose ...
Hua Guo, Guolin Liu, Luyao Wang
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Determination of uric acid in human serum by an enzymatic method using N-methyl-N-(4-aminophenyl)-3-methoxyaniline reagent [PDF]
Journal of the Serbian Chemical Society, 2003 In this work a new enzymatic method for the determination of uric acid in human serum has been developed. The method is based on the oxidative coupling reaction between the N-methyl-N-(4-aminophenyl)-3-methoxyaniline (NCP) reagent and the hydrogen ...
Jelikić-Stankov Milena D. +2 more
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Remote Sensing, 2020 Various types of heterogeneous observations can be combined within a parameter estimation process using spherical radial basis functions (SRBFs) for regional gravity field refinement.
Qing Liu +3 more
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Applied Bionics and Biomechanics, 2022 Objective. The objective of this study is to explore the risk factors of cardiovascular and cerebrovascular events (CCE) in patients with diabetic nephropathy (DN) receiving maintenance hemodialysis, and to establish a nomogram model on this basis ...
Xiaobing Liu +3 more
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