Results 151 to 160 of about 676,778 (198)

Weighted least squares method of grid generation

AIAA Journal, 1995
We propose the creation of a grid smoother to improve the local grid distorsion, nonsmoothness, and overlapping of the transfinite interpolated grid points. The second purpose of this study is to smooth the resulting grid finding through the application of the Jeng and Liou modified multiple one-dimensional adaptive grid method.
Jeng, Yih Nen, Lin, Wu Sheng
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A weighted least-squares method for PET

1995 IEEE Nuclear Science Symposium and Medical Imaging Conference Record, 2002
In this paper, the authors present a reconstruction algorithm for positron emission tomography that minimizes a weighted least-squares (WLS) objective function. The weights are based on the covariance matrix of the model error and depend on the unknown parameters.
J.M.M. Anderson, B.A. Mair, M. Rao, C.-H. Wu   +3 more
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Weighted least-squares reconstruction methods for positron emission tomography

IEEE Transactions on Medical Imaging, 1997
We present unpenalized and penalized weighted least-squares (WLS) reconstruction methods for positron emission tomography (PET), where the weights are based on the covariance of a model error and depend on the unknown parameters. The penalty function for the latter method is chosen so that certain a priori information is incorporated.
J M, Anderson, B A, Mair, M, Rao, C H, Wu   +3 more
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Weighted least square analysis method for free energy calculations

Journal of Computational Chemistry, 2018
Free energy calculation is an efficient way for studying rare event dynamics. For a complex rare event dynamics, multiple reaction coordinates may be required to describe the transition path between equilibrium states. Theoretically, a one‐dimensional sampling along the transition path can provide sufficient information to calculate the potential of ...
Dan Hu, Xiaoqing Guan, Yukun Wang
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A mixed weighted least squares and weighted total least squares adjustment method and its geodetic applications

Survey Review, 2016
A mixed weighted least squares (WLS) and weighted total least squares (WTLS) (mixed WLS–WTLS) method is presented for an errors-in-variables (EIV) model with some fixed columns in the design matrix. The numerical computational scheme and an approximate accuracy assessment method are also provided.
Y. Zhou, X. Fang
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The Method of Fundamental Solutions: A Weighted Least-Squares Approach

BIT Numerical Mathematics, 2006
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Smyrlis, Yiorgos-Sokratis, Smyrlis, Yiorgos-Sokratis   +1 more
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System State Estimation Using Weighted Least Square Method

Proceeding International Conference on Science and Engineering, 2023
State estimation is an essential part of every energy control management system. Accurate estimation of state or operating state is essential for security control and monitoring of power systems. Power system state estimation is a procedure to estimate true state from the inexact state of a power system.
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Weighted least squares DORT method in selective focusing

2008 5th IEEE Sensor Array and Multichannel Signal Processing Workshop, 2008
The DORT (decomposition de lpsilaoperateur de retournement temporel) method is an efficient technique to focus signal on the target. The DORT method requires the measurement of the inter-element impulse responses of the propagating medium for all pairs of elements in the array.
Dinh-Quy Nguyen, Woon-Seng Gan, Yong-Kim Chong   +2 more
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Weighted least squares method for censored linear models

Journal of Nonparametric Statistics, 2009
For estimation of linear models with randomly censored data, a class of data transformations is used to construct synthetic data. It is shown that the conditional variance of the synthetic data depends on the covariates in the model regardless of the homoscedasticity of the error.
Wanrong Liu, Xuewen Lu
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Prediction-weighted partial least-squares regression method (PWPLS)

Chemometrics and Intelligent Laboratory Systems, 1997
Abstract Prediction-weighted partial least-squares (PWPLS) is a progressive approach of partial least-squares (PLS) regression. PWPLS is a simple, efficient, and evolutionary algorithm to select appropriate predictor variables, and weight each selected predictor variable for improving predictability when there is only one dependent variable.
Yukio Tominaga, Iwao Fujiwara
openaire   +1 more source