deploy: 4df3f3c

Author: pancetta

references/index.html

@@ -218,6 +218,101 @@ <h2>Statistics</h2>
 <h2 id="year2025" class="year">2025 <span class="count-stat"></span></h2>
 
 <ol class="bibliography"><li><div class="bibtex-entry-container">
+  <div>
+    <div class="col-md-3 col-sm-12 bibtex-ref-meta hidden">
+      <div class="row">
+        <div class="col-md-12 ref-label label label-default">
+          BossuytEtAl2025
+        </div>
+      </div>
+    </div>
+
+    <div class="bibtex-ref-entry">
+      <span id="BossuytEtAl2025">I. Bossuyt, G. Samaey, and S. Vandewalle, “Convergence of the micro-macro Parareal Method for a Linear Scale-Separated Ornstein-Uhlenbeck SDE: extended version,” arXiv:2501.19210v1 [math.NA], 2025 [Online]. Available at: <a href="http://arxiv.org/abs/2501.19210v1" target="_blank">http://arxiv.org/abs/2501.19210v1</a></span>
+    </div>
+
+
+    <div class="row mt-4">
+      <div class="btn-group btn-group-xs btn-group-justified" role="group">
+        <div class="btn-group btn-group-xs" role="group">
+          
+          <button class="button" data-toggle="modal" data-target="#modalBossuytEtAl2025Bibtex" aria-expanded="false"
+                  aria-controls="modalBossuytEtAl2025Bibtex">
+            BibTeX
+          </button>
+          
+        </div>
+        <div class="btn-group btn-group-xs" role="group">
+          
+          <button class="button" data-toggle="modal" data-target="#modalBossuytEtAl2025Abstract" aria-expanded="false"
+                  aria-controls="modalBossuytEtAl2025Abstract">
+            Abstract
+          </button>
+          
+        </div>
+      </div>
+    </div>
+  </div>
+  
+  <div class="modal" id="modalBossuytEtAl2025Bibtex" tabindex="-1" role="dialog"
+    aria-labelledby="modalBossuytEtAl2025BibtexTitle" aria-hidden="true">
+    <div class="modal-background">
+      <div class="modal-card">
+        <div class="modal-content">
+          <header class="modal-card-head">
+            <div class="modal-card-head-content">
+              <div>
+                <p class="modal-card-title" id="modalBossuytEtAl2025BibtexTitle">
+                  BibTeX entry <code>BossuytEtAl2025</code>
+                </p>
+              </div>
+              <button type="button" class="delete" data-dismiss="modal" aria-label="Close"><span
+                  aria-hidden="true">&times;</span></button>
+            </div>
+          </header>
+          <section class="modal-card-body">
+            <pre class="abstract">@unpublished{BossuytEtAl2025,
+  author = {Bossuyt, Ignace and Samaey, Giovanni and Vandewalle, Stefan},
+  howpublished = {arXiv:2501.19210v1 [math.NA]},
+  title = {Convergence of the micro-macro Parareal Method for a Linear Scale-Separated Ornstein-Uhlenbeck SDE: extended version},
+  url = {http://arxiv.org/abs/2501.19210v1},
+  year = {2025}
+}
+</pre>
+          </section>
+        </div>
+      </div>
+    </div>
+  </div>
+  
+  
+  <div class="modal" id="modalBossuytEtAl2025Abstract" tabindex="-1" role="dialog"
+       aria-labelledby="modalBossuytEtAl2025AbstractTitle" aria-hidden="true">
+    <div class="modal-background">
+      <div class="modal-card">
+        <div class="modal-content">
+          <header class="modal-card-head">
+            <div class="modal-card-head-content">
+              <div>
+                <p class="modal-card-title" id="modalBossuytEtAl2025AbstractTitle">
+                  Abstract for BibTeX entry <code>BossuytEtAl2025</code>
+                </p>
+              </div>
+              <button type="button" class="delete" data-dismiss="modal" aria-label="Close"><span
+                      aria-hidden="true">&times;</span></button>
+            </div>
+          </header>
+          <section class="modal-card-body">
+            Time-parallel methods can reduce the wall clock time required for the accurate numerical solution of differential equations by parallelizing across the time-dimension. In this paper, we present and test the convergence behavior of a multiscale, micro-macro version of a Parareal method for stochastic differential equations (SDEs). In our method, the fine propagator of the SDE is based on a high-dimensional slow-fast microscopic model; the coarse propagator is based on a model-reduced version of the latter, that captures the low-dimensional, effective dynamics at the slow time scales. We investigate how the model error of the approximate model influences the convergence of the micro-macro Parareal algorithm and we support our analysis with numerical experiments. This is an extended and corrected version of [Domain Decomposition Methods in Science and Engineering XXVII. DD 2022, vol 149 (2024), pp. 69-76, Bossuyt, I., Vandewalle, S., Samaey, G.].
+          </section>
+        </div>
+      </div>
+    </div>
+  </div>
+  
+</div>
+</li>
+<li><div class="bibtex-entry-container">
   <div>
     <div class="col-md-3 col-sm-12 bibtex-ref-meta hidden">
       <div class="row">