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    <title>American Journal of Numerical Analysis</title>
    <link>http://www.sciepub.com/journal/AJNA</link>
    <description>American Journal of Numerical Analysis is a peer-reviewed, open access journal that publishes original research articles and review articles in all areas of numerical analysis. Numerical Analysis is called the Mathematics of Scientific Computing. More specifically, Numerical Analysis involves the study, development and analysis of methods for obtaining approximate solutions to mathematical problems. This definition does pinpoint some of the key issues in Numerical Analysis, namely, approximate solution, mathematical problems, the study, development and analysis of methods. The methods invariably are destined for use on high-speed computers and therefore three major sources of error (discretization error, approximation error, rounding error) are present in the study of numerical methods. Underlying all these sources is the general question of the stability of the solution of the problem to be solved and of the discrete ill-posedness of the problem.</description>
    <dc:publisher>Science and Education Publishing</dc:publisher>
		<dc:language>en</dc:language>
		<dc:rights>2013 Science and Education Publishing Co. Ltd All rights reserved.</dc:rights>
		<prism:publicationName>American Journal of Numerical Analysis</prism:publicationName>
		7
		1
		January 2023
		<prism:copyright>2013 Science and Education Publishing Co. Ltd All rights reserved.</prism:copyright>
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<title>
Cascadic Tensor Multigrid Method and Economic Cascadic Tensor Multigrid Method for Image Restoration Problems
</title>
<link>http://pubs.sciepub.com/ajna/7/1/1</link>
<description>
<![CDATA[A cascadic tensor multigrid method and an economic cascadic tensor multigrid method is presented for solving the image restoration models. The methods use quadratic interpolation as prolongation operator to provide more accurate initial values for the next fine grid level, and constructs a preserving-edge-denoising operator to obtain better edges and remove noise. The experimental results show that the new methods not only improves computational efficiency but also achieve better restoration quality.]]>
</description>
<dc:creator>
Ziqi  Yan, Chenliang  Li, Yuhan  Chen
</dc:creator>
<dc:date>2023-10-29</dc:date>
<dc:publisher>Science and Education Publishing</dc:publisher>
<prism:publicationDate>2023-10-29</prism:publicationDate>
<prism:number>1</prism:number>
<prism:volume>7</prism:volume>
<prism:startingPage>1</prism:startingPage>
<prism:endingPage>8</prism:endingPage>
<prism:doi>10.12691/ajna-7-1-1</prism:doi>
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