Introduction to Linear Least Squares Estimation and Ill-Posed Problems for Experimental Data Processing

2011 ◽  
pp. 247-296
Keyword(s):  
Experimental Data ◽  
Data Processing ◽  
Least Squares ◽  
Least Squares Estimation ◽  
Linear Least Squares ◽  
Experimental Data Processing ◽  
Ill Posed

EAST-NBI experimental data processing method based on improved OPTICS algorithm

2021 ◽  
Vol 172 ◽  
pp. 112737
Author(s):  
Jinxin Wang ◽  
Zhimin Liu ◽  
Yuanzhe Zhao ◽  
Yahong Xie ◽  
Yuanlai Xie
Keyword(s):  
Experimental Data ◽  
Data Processing ◽  
Processing Method ◽  
Experimental Data Processing ◽  
Data Processing Method

scholarly journals ANTS2 package: simulation and experimental data processing for Anger camera type detectors

2016 ◽  
Vol 11 (04) ◽  
pp. P04022-P04022 ◽  
Author(s):  
A. Morozov ◽  
V. Solovov ◽  
R. Martins ◽  
F. Neves ◽  
V. Domingos ◽  
...  
Keyword(s):  
Experimental Data ◽  
Data Processing ◽  
Experimental Data Processing

scholarly journals METHOD OF FORECASTING THE TERMS OF SETTLING OF STRUCTURES ON SOILS WITH SILT LAYERS

2019 ◽  
Vol 2 (53) ◽  
pp. 107-114
Author(s):  
Yevhen Oksen
Keyword(s):  
Experimental Data ◽  
Data Processing ◽  
Least Squares ◽  
Method Of Least Squares ◽  
Filtration Consolidation

The method of forecasting the size and timing of sedimentation of structures on soils with silt layers, based on the results offield observations, has been developed. It is suggested to use a set of exponential dependencies with a constant component.The algorithm and software for calculation of the envelope by experimental data by a stepwise approximation are developed.The process of consolidation of soils is considered as a combination of simultaneous and independent flow of phases of primary filtration consolidation and secondary consolidation of creep. According to the results of data processing of observations by direct iterative calculations by finding the minimum nonconnectedness by the method of least squares.

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