Least Squares Problems
Least Squares Problems is a mathematical optimization problem that belongs to the class of linear algebraic problems involving the minimization of the sum of squared residuals, distinguished by its aim to find the best approximate solution to an overdetermined system of linear equations.
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2017–2026
610
Variants
Least Squares
Parents
4.4K
On enantiomorph-polarity estimation
H. D. Flack · Acta Crystallographica Section A Foundations of Crystallography · 1983 · 10.4K citations
Natural Sciences, Chemistry, Physics +10
Ridge Regression: Biased Estimation for Nonorthogonal Problems
Arthur E. Hoerl, Robert W. Kennard · Technometrics · 1970 · 8.9K citations
Ridge Regression: Biased Estimation for Nonorthogonal Problems
Arthur E. Hoerl, Robert W. Kennard · Technometrics · 2000 · 6.6K citations
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Stanford University
Stanford, United States
45 h-index
117 publications
27.9K citations
Massachusetts Institute of Technology
Cambridge, United States
32 h-index
85 publications
11K citations
KU Leuven
Leuven, Belgium
30 h-index
128 publications
9.4K citations

Centre National de la Recherche Scientifique
Paris, France
29 h-index
92 publications
6.1K citations

University of Minnesota
Minneapolis, United States
25 h-index
60 publications
5K citations
Princeton University
Princeton, United States
25 h-index
49 publications
6.9K citations
University of California, Berkeley
Berkeley, United States
23 h-index
76 publications
5.2K citations
Arizona State University
Tempe, United States
23 h-index
51 publications
3.9K citations
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128 publications · 10K citations
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125 publications · 12K citations
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65 publications · 11.6K citations
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67 publications · 29.1K citations
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74 publications · 8.4K citations
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