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We also discuss the design of efficient regularization methods for ill-conditioned reconstruction problems.
In this article, some efficient regularization BEM, RBM, CHIEF and hypersingular formulation, in conjunction with SVD technique, are employed to study and cope with the rank-deficiency problem numerically.
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This paper investigates accurate and efficient ℓ1 regularization methods for generating synthetic aperture radar (SAR) images.
We are mostly motivated by the efficient performance of these regularization terms in image denoising and restoration problems (for instance, [4] applies these regularization terms to image processing problems).
The technique also decreases the number of adjustable parameters to be determined by data reduction, by using an efficient experimental and mathematical regularization strategy to find their values.
A widely used and efficient method is the regularization method introduced by Liskovets [7] using the perturbative mixed variational inequality: (6).
Meanwhile, numerical examples verify that the Landweber iterative regularization method is efficient and accurate.
We can draw the conclusion from the above computational results: the proposed hybrid splitting method is valid and efficient for the smoothing Tikhonov regularization problem.
The results indicated that the new regularization method was efficient in overcoming the ill-posedness of the inverse heat conduction problem and improving the stability and accuracy of the solutions.
To cope with the inherent lack of continuity and the high computational burden when dealing with high-dimensional data sets, this article introduces a convex regularization approach enabling efficient and continuous estimation of TV-AR models.
Here we provide a parameter estimation strategy which combines efficient global optimization with a regularization scheme.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com