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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.

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Updated 16 Aug 2016

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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.

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Sathyanarayan Rao (2020). 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 .

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Jason Wang

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Created with R2015a
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