From 0a2df34a772228833d2ecd6710461a0fe6bbb1e3 Mon Sep 17 00:00:00 2001
From: pancetta <7158893+pancetta@users.noreply.github.com>
Date: Mon, 15 Jun 2026 06:18:27 +0000
Subject: [PATCH 1/2] updated pint.bib using arxivbot

---
 _bibliography/pint.bib | 16 ++++++++++------
 1 file changed, 10 insertions(+), 6 deletions(-)

diff --git a/_bibliography/pint.bib b/_bibliography/pint.bib
index 68a9466f..7594bba0 100644
--- a/_bibliography/pint.bib
+++ b/_bibliography/pint.bib
@@ -8533,12 +8533,16 @@ @unpublished{AntonucciEtAl2026
 	year = {2026},
 }
 
-@unpublished{AraujoEtAl2026,
-	abstract = {Standard gradient-based iteration algorithms for optimization, such as gradient descent and its various proximal-based extensions to nonsmooth problems, are known to converge slowly for ill-conditioned problems, sometimes requiring many tens of thousands of iterations in practice. Since these iterations are computed sequentially, they may present a computational bottleneck in large-scale parallel simulations. In this work, we present a "parallel-in-iteration" framework that allows one to parallelize across these iterations using multiple processors with the objective of reducing the wall-clock time needed to solve the underlying optimization problem. Our methodology is based on re-purposing parallel time integration algorithms for time-dependent differential equations, motivated by the fact that optimization algorithms often have interpretations as discretizations of time-dependent differential equations (such as gradient flow). Specifically in this work, we use the parallel-in-time method of multigrid reduction-in-time (MGRIT), but note that our approach permits in principle the use of any other parallel-in-time method. We numerically demonstrate the efficacy of our approach on two different model problems, including a standard convex quadratic problem and the nonsmooth elastic obstacle problem in one and two spatial dimensions. For our model problems, we observe fast MGRIT convergence analogous to its prototypical performance on partial differential equations of diffusion type. Some theory is presented to connect the convergence of MGRIT to the convergence of the underlying optimization algorithm. Theoretically predicted parallel speedup results are also provided.},
-	author = {G. H. M. Araújo and O. A. Krzysik and H. De Sterck},
-	howpublished = {arXiv:2603.20879v1 [math.NA]},
-	title = {Parallel-in-iteration optimization using multigrid reduction-in-time},
-	url = {https://arxiv.org/abs/2603.20879v1},
+@article{AraújoEtAl2026,
+	author = {Araújo, G. H. M. and Krzysik, O. A. and De Sterck, H.},
+	doi = {10.1553/etna_vol66s32},
+	issn = {1068-9613},
+	journal = {ETNA - Electronic Transactions on Numerical Analysis},
+	pages = {32–63},
+	publisher = {Osterreichische Akademie der Wissenschaften, Verlag},
+	title = {Parallel-in-iteration optimization using multigrid reduction in time},
+	url = {http://dx.doi.org/10.1553/etna_vol66s32},
+	volume = {66},
 	year = {2026},
 }
 

From d3269d26c412982da2f696a333244b63856fd975 Mon Sep 17 00:00:00 2001
From: Robert Speck <pancetta@users.noreply.github.com>
Date: Mon, 15 Jun 2026 08:19:44 +0200
Subject: [PATCH 2/2] Fix author's last name in bibliography entry

Corrected the spelling of the author's last name in the citation.
---
 _bibliography/pint.bib | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/_bibliography/pint.bib b/_bibliography/pint.bib
index 7594bba0..a322e2a5 100644
--- a/_bibliography/pint.bib
+++ b/_bibliography/pint.bib
@@ -8533,7 +8533,7 @@ @unpublished{AntonucciEtAl2026
 	year = {2026},
 }
 
-@article{AraújoEtAl2026,
+@article{AraujoEtAl2026,
 	author = {Araújo, G. H. M. and Krzysik, O. A. and De Sterck, H.},
 	doi = {10.1553/etna_vol66s32},
 	issn = {1068-9613},