<title>Practical configurations to recover the regularized least-squares solution</title>

Efficient architectures to recover the regularized least squares solution

IEEE Transactions on Circuits and Systems II Analog and Digital Signal Processing ◽

10.1109/82.769793 ◽

1999 ◽

Vol 46 (6) ◽

pp. 828-831 ◽

Cited By ~ 5

Author(s):

R. Sundaram

Keyword(s):

Least Squares ◽

Regularized Least Squares ◽

Least Squares Solution

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A uniqueness result concerning a robust regularized least-squares solution

Systems & Control Letters ◽

10.1016/s0167-6911(02)00160-3 ◽

2002 ◽

Vol 46 (5) ◽

pp. 361-369 ◽

Cited By ~ 7

Author(s):

Ali H. Sayed ◽

Hong Chen

Keyword(s):

Least Squares ◽

Uniqueness Result ◽

Regularized Least Squares ◽

Least Squares Solution

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Efficient retrieval of the regularized least-squares solution

Optical Engineering ◽

10.1117/1.601965 ◽

1998 ◽

Vol 37 (4) ◽

pp. 1283 ◽

Cited By ~ 4

Author(s):

Ramakrishnan Sundaram

Keyword(s):

Least Squares ◽

Regularized Least Squares ◽

Least Squares Solution ◽

Efficient Retrieval

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Hybrid Fast Least-Squares Solution-Seeker Algorithm with Partial Channel-Knowledge for Precoding in MIMO Systems

IEICE Transactions on Communications ◽

10.1587/transcom.e96.b.569 ◽

2013 ◽

Vol E96.B (2) ◽

pp. 569-576

Author(s):

Ulises PINEDA-RICO ◽

Enrique STEVENS-NAVARRO

Keyword(s):

Least Squares ◽

Mimo Systems ◽

Least Squares Solution ◽

Channel Knowledge ◽

Partial Channel

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A nonlinear least-squares solution with causality constraints applied to transmission line permittivity and permeability determination

IEEE Transactions on Instrumentation and Measurement ◽

10.1109/19.177336 ◽

1992 ◽

Vol 41 (5) ◽

pp. 646-652 ◽

Cited By ~ 72

Author(s):

J. Baker-Jarvis ◽

R.G. Geyer ◽

P.D. Domich

Keyword(s):

Transmission Line ◽

Least Squares ◽

Nonlinear Least Squares ◽

Least Squares Solution ◽

Permittivity And Permeability

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Feature selection for regularized least-squares: New computational short-cuts and fast algorithmic implementations

2010 IEEE International Workshop on Machine Learning for Signal Processing ◽

10.1109/mlsp.2010.5589210 ◽

2010 ◽

Cited By ~ 2

Author(s):

Tapio Pahikkala ◽

Antti Airola ◽

Tapio Salakoski

Keyword(s):

Feature Selection ◽

Least Squares ◽

Regularized Least Squares ◽

Selection For

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Sparse identification of nonlinear dynamical systems via reweighted ℓ1-regularized least squares

Computer Methods in Applied Mechanics and Engineering ◽

10.1016/j.cma.2020.113620 ◽

2021 ◽

Vol 376 ◽

pp. 113620 ◽

Cited By ~ 1

Author(s):

Alexandre Cortiella ◽

Kwang-Chun Park ◽

Alireza Doostan

Keyword(s):

Dynamical Systems ◽

Least Squares ◽

Nonlinear Dynamical Systems ◽

Nonlinear Dynamical ◽

Regularized Least Squares

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The least-squares solution of inverse problems for symmetric orthogonal antisymmetric matrices on the linear manifold

2005 International Conference on Machine Learning and Cybernetics ◽

10.1109/icmlc.2005.1527163 ◽

2005 ◽

Author(s):

Yan-Ping Sheng ◽

Lai-Sheng Wang

Keyword(s):

Inverse Problems ◽

Least Squares ◽

Linear Manifold ◽

Least Squares Solution

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A Fast Active Set Block Coordinate Descent Algorithm for $\ell_1$-Regularized Least Squares

SIAM Journal on Optimization ◽

10.1137/141000737 ◽

2016 ◽

Vol 26 (1) ◽

pp. 781-809 ◽

Cited By ~ 11

Author(s):

Marianna De Santis ◽

Stefano Lucidi ◽

Francesco Rinaldi

Keyword(s):

Least Squares ◽

Coordinate Descent ◽

Block Coordinate Descent ◽

Active Set ◽

Descent Algorithm ◽

Regularized Least Squares ◽

Coordinate Descent Algorithm

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Note on the least squares solution for the method of successive categories

Psychometrika ◽

10.1007/bf02289124 ◽

1957 ◽

Vol 22 (3) ◽

pp. 231-240 ◽

Cited By ~ 5

Author(s):

R. Darrell Bock

Keyword(s):

Least Squares ◽

Least Squares Solution ◽

Method Of Successive Categories

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