Regularized Least Square: Tikhonov Regularization test for Hilbert matrix.
Version 1.0.0.0 (2.94 KB) by
Sathyanarayan Rao
Regularized Least Square and ordinary least square solution are compared.
Regularized Least Square (Tikhonov regularization) and ordinary least square solution for a system of linear equation involving Hilbert matrix is computed using Singular value decomposition and are compared. Since Hilbert matrices are inherently ill-conditioned systems, the stability of regularization over the slightly perturbed system is demonstrated.
Cite As
Sathyanarayan Rao (2026). Regularized Least Square: Tikhonov Regularization test for Hilbert matrix. (https://uk.mathworks.com/matlabcentral/fileexchange/58736-regularized-least-square-tikhonov-regularization-test-for-hilbert-matrix), MATLAB Central File Exchange. Retrieved .
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| Version | Published | Release Notes | |
|---|---|---|---|
| 1.0.0.0 |
