deploy: 9ee31c2

Author: tlunet

references/index.html

@@ -4678,6 +4678,101 @@ <h2 id="year2024" class="year">2024 <span class="count-stat"></span></h2>
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+          HuangEtAl2024d
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+    <div class="bibtex-ref-entry">
+      <span id="HuangEtAl2024d">J. Huang and Y. Xu, “A Parareal exponential integrator finite element method for linear parabolic equations,” arXiv:2412.01138v1 [math.NA], 2024 [Online]. Available at: <a href="http://arxiv.org/abs/2412.01138v1" target="_blank">http://arxiv.org/abs/2412.01138v1</a></span>
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+            BibTeX
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+                  BibTeX entry <code>HuangEtAl2024d</code>
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+            <pre class="abstract">@unpublished{HuangEtAl2024d,
+  author = {Huang, Jianguo and Xu, Yuejin},
+  howpublished = {arXiv:2412.01138v1 [math.NA]},
+  title = {A Parareal exponential integrator finite element method for linear parabolic equations},
+  url = {http://arxiv.org/abs/2412.01138v1},
+  year = {2024}
+}
+</pre>
+          </section>
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+  <div class="modal" id="modalHuangEtAl2024dAbstract" tabindex="-1" role="dialog"
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+                  Abstract for BibTeX entry <code>HuangEtAl2024d</code>
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+          <section class="modal-card-body">
+            In this paper, for solving a class of linear parabolic equations in rectangular domains, we have proposed an efficient Parareal exponential integrator finite element method. The proposed method first uses the finite element approximation with continuous multilinear rectangular basis function for spatial discretization, and then takes the Runge-Kutta approach accompanied with Parareal framework for time integration of the resulting semi-discrete system to produce parallel-in-time numerical solution. Under certain regularity assumptions, fully-discrete error estimates in L^2-norm are derived for the proposed schemes with random interpolation nodes. Moreover, a fast solver can be provided based on tensor product spectral decomposition and fast Fourier transform (FFT), since the mass and coefficient matrices of the proposed method can be simultaneously diagonalized with an orthogonal matrix. A series of numerical experiments in various dimensions are also presented to validate the theoretical results and demonstrate the excellent performance of the proposed method.
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