Area-preservation Simplification of Polygonal Boundaries by the Use of the Structured Total Least Squares Method with Constraints

2015 ◽  
Vol 19 (5) ◽  
pp. 780-799 ◽  
Author(s):  
Xiaohua Tong ◽  
Yanmin Jin ◽  
Lingyun Li ◽  
Tinghua Ai
Keyword(s):  
Least Squares ◽  
Least Squares Method ◽  
Total Least Squares ◽  
Structured Total Least Squares

Total Variation Structured Total Least Squares Method for Image Restoration

2013 ◽  
Vol 35 (6) ◽  
pp. B1304-B1320 ◽  
Author(s):  
Xi-Le Zhao ◽  
Wei Wang ◽  
Tie-Yong Zeng ◽  
Ting-Zhu Huang ◽  
Michael K. Ng
Keyword(s):  
Image Restoration ◽  
Least Squares ◽  
Total Variation ◽  
Least Squares Method ◽  
Total Least Squares ◽  
Structured Total Least Squares

TOTAL LEAST SQUARES FOR ESTIMATION OF THE GROSS OUTPUT VECTOR

2020 ◽  
Author(s):  
Dmitriy Vladimirovich Ivanov ◽  
Keyword(s):  
Least Squares ◽  
Least Squares Method ◽  
Direct Costs ◽  
Total Least Squares ◽  
Test Cases ◽  
Output Vector ◽  
Final Consumption ◽  
The Matrix

The article proposes the estimation of the gross output vector in the presence of errors in the matrix of direct costs and the final consumption vector. The article suggests the use of the total least squares method for estimating the gross output vector. Test cases showed that the accuracy of the proposed estimates of the gross output vector is higher than the accuracy of the estimates obtained using the classical least squares method (OLS).

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