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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://www.mathworks.com/matlabcentral/fileexchange/58736-regularized-least-square-tikhonov-regularization-test-for-hilbert-matrix), MATLAB Central File Exchange. Retrieved .
General Information
- Version 1.0.0.0 (2.94 KB)
MATLAB Release Compatibility
- Compatible with any release
Platform Compatibility
- Windows
- macOS
- Linux
| Version | Published | Release Notes | Action |
|---|---|---|---|
| 1.0.0.0 |
