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        <identifier>oai:kanazawa-u.repo.nii.ac.jp:00011120</identifier>
        <datestamp>2024-05-20T03:10:53Z</datestamp>
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          <dc:title>Numerical methods for 1-D hyperbolic-type problems with free boundary</dc:title>
          <dc:creator>赤川, 佳穂</dc:creator>
          <dc:creator>86029</dc:creator>
          <dc:creator>20881650</dc:creator>
          <dc:creator>Faizal, Makhrus</dc:creator>
          <dc:creator>17367</dc:creator>
          <dc:creator>Akagawa, Yoshiho</dc:creator>
          <dc:creator>86030</dc:creator>
          <dc:creator>20881650</dc:creator>
          <dc:creator>Alvi, Syahrini</dc:creator>
          <dc:creator>17369</dc:creator>
          <dc:subject>hyperbolic free boundary problem</dc:subject>
          <dc:subject>ﬁxed domain method</dc:subject>
          <dc:subject>ﬁnite element method</dc:subject>
          <dc:subject>discrete Morse ﬂow</dc:subject>
          <dc:description>We study a 1-D hyperbolic-type problem with free boundary which describes the motion of a piece of tape being peeled off from a surface. The graph of the solution represents the shape of the tape, which displays contact angle dynamics at the free bound-ary (the location of peeling). The contact angle dynamics lead to singularities located on the free boundary, which cause a slight difﬁculty. Under some assumptions, this problem can be solved numerically by a so-called ﬁxed domain method. This method is a numer-ical method which transforms the domain of the positive part of the solution into a ﬁxed domain using a change of variables and solves the problem in that domain. Although this method has a high accuracy, it can not be applied in some cases. Hence other numer-ical methods are chosen for solving a regularized problem, i.e., the singularities on the free boundary are regularized by a smoothing function. The numerical methods are: two types of ﬁnite difference methods, the ﬁnite element method and discrete Morse ﬂow. In this paper, the error of solving the regularized problem instead of the original problem is calculated. Since the choice of the parameter for smoothing function is important for the accuracy, we propose a formula to estimate the optimal parameter in order to mini-mize the error. This formula is veriﬁed by numerical experiments and we ﬁnd that it can estimate the optimal parameter. In addition, based on comparisons between the numeri-cal methods, we ﬁnd that the ﬁnite difference methods have better performance than the other methods.</dc:description>
          <dc:description>departmental bulletin paper</dc:description>
          <dc:publisher>Institute of Science and Engineering, Kanazawa University = 金沢大学</dc:publisher>
          <dc:date>2015-01-01</dc:date>
          <dc:type>VoR</dc:type>
          <dc:format>application/pdf</dc:format>
          <dc:identifier>The science reports of the Kanazawa University = 金沢大学理科報告</dc:identifier>
          <dc:identifier>59</dc:identifier>
          <dc:identifier>27</dc:identifier>
          <dc:identifier>50</dc:identifier>
          <dc:identifier>AA00835991</dc:identifier>
          <dc:identifier>0022-8338</dc:identifier>
          <dc:identifier>https://kanazawa-u.repo.nii.ac.jp/record/11120/files/AA00835991-59_27-50.pdf</dc:identifier>
          <dc:identifier>https://doi.org/10.24517/00011107</dc:identifier>
          <dc:identifier>http://hdl.handle.net/2297/44682</dc:identifier>
          <dc:identifier>https://kanazawa-u.repo.nii.ac.jp/records/11120</dc:identifier>
          <dc:language>eng</dc:language>
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