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Merge pull request #1052 from Parallel-in-Time/bibtex-bibbot-1051-199adbe
pint.bib updates
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@@ -8583,6 +8583,15 @@ @article{GaraiEtAl2026
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year = {2026},
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}
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@unpublished{GaraiEtAl2026b,
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abstract = {This paper introduces Exp-ParaDiag, a novel time-parallel method that combines the strength of exponential integrators into the ParaDiag framework. We develop and analyze Exp-ParaDiag based on first and second order accurate exponential integrators. We establish the convergence of the proposed methods both as preconditioned fixed-point iterations and as precon- ditioners within the GMRES framework. Furthermore, we extend the Exp-ParaDiag formulation to achieve sixth-order temporal accuracy using exponential integrators. The proposed approach is also generalized to nonlinear problems, for which convergence is rigorously demonstrated. A series of numerical experiments is presented to validate the theoretical results and to illustrate the robustness and efficiency of the developed methods.},
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author = {Gobinda Garai and Nagaiah Chamakuri},
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howpublished = {arXiv:2603.04350v1 [math.NA]},
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title = {Exp-ParaDiag: Time-Parallel Exponential Integrators for Parabolic PDEs},
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url = {https://arxiv.org/abs/2603.04350v1},
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year = {2026},
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}
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@article{HeEtAl2026,
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author = {He, Tingting and Zhai, Tianle and Huang, Xuhang and Li, Min},
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doi = {10.1016/j.cnsns.2025.109183},

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