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Merge pull request #1090 from Parallel-in-Time/bibtex-bibbot-1089-79bda7a
pint.bib updates
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_bibliography/pint.bib

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@@ -6396,18 +6396,6 @@ @article{DajanaEtAl2023
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year = {2023},
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}
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@report{DrewsEtAl2023,
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author = {Drews, Wiebke and Turek, Stefan and Lohmann, Christoph},
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doi = {10.17877/DE290R-23990},
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journal = {Ergebnisberichte des Instituts für Angewandte Mathematik;668},
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keywords = {convection-diffusion equations, variational multiscale methods, multigrid waveform relaxation, 610},
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language = {en},
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publisher = {TU Dortmund},
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title = {Numerical Analysis of a Time-Simultaneous Multigrid Solver for Stabilized Convection-Dominated Transport Problems in 1D},
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url = {https://eldorado.tu-dortmund.de/handle/2003/42157},
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year = {2023},
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}
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@unpublished{Erlangga2023,
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abstract = {This paper presents a parallel-in-time multilevel iterative method for solving differential algebraic equation, arising from a discretization of linear time-dependent partial differential equation. The core of the method is the multilevel Krylov method, introduced by Erlangga and Nabben~{\it [SIAM J. Sci. Comput., 30(2008), pp. 1572--1595]}. In the method, special time restriction and interpolation operators are proposed to coarsen the time grid and to map functions between fine and coarse time grids. The resulting Galerkin coarse-grid system can be interpreted as time integration of an equivalent differential algebraic equation associated with a larger time step and a modified $\theta$-scheme. A perturbed coarse time-grid matrix is used on the coarsest level to decouple the coarsest-level system, allowing full parallelization of the method. Within this framework, spatial coarsening can be included in a natural way, reducing further the size of the coarsest grid problem to solve. Numerical results are presented for the 1- and 2-dimensional heat equation using {\it simulated} parallel implementation, suggesting the potential computational speed-up of up to 9 relative to the single-processor implementation and the speed-up of about 3 compared to the sequential $\theta$-scheme.},
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author = {Yogi A. Erlangga},
@@ -6973,18 +6961,6 @@ @article{DravinsEtAl2024
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year = {2024},
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}
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@report{DrewsEtAl2024,
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author = {Drews, Wiebke and Turek, Stefan and Lohmann, Christoph},
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doi = {10.17877/DE290R-24129},
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journal = {Ergebnisberichte des Instituts für Angewandte Mathematik;670},
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keywords = {610},
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language = {en},
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publisher = {TU Dortmund},
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title = {Improving Convergence of Time-Simultaneous Multigrid Methods for Convection-Dominated Problems using VMS Stabilization Techniques},
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url = {https://eldorado.tu-dortmund.de/handle/2003/42293},
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year = {2024},
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}
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@article{DrewsEtAl2024b,
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author = {Drews, Wiebke and Turek, Stefan and Lohmann, Christoph},
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doi = {10.5772/acrt.37},
@@ -8610,18 +8586,6 @@ @article{DurastanteEtAl2026
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year = {2026},
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}
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@report{DünnebackeEtAl2026,
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author = {Dünnebacke, Jonas and Lohmann, Christoph and Turek, Stefan},
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doi = {10.17877/DE290R-26640},
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journal = {Ergebnisberichte des Instituts für Angewandte Mathematik; 686},
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keywords = {610, Navier-Stokes-Gleichung, Reynolds-Zahl, Krylov-Verfahren, Polymerschmelze, Simulation},
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language = {en},
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publisher = {TU Dortmund},
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title = {A Parallel-in-Time Navier-Stokes Solver Using Augmented Lagrangian Acceleration and Space-Time Multigrid Methods},
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url = {https://eldorado.tu-dortmund.de/handle/2003/44875},
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year = {2026},
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}
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@article{EngwerEtAl2026,
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author = {Engwer, Christian and Schell, Alexander and Dreier, Nils-Arne},
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doi = {10.1007/s13137-025-00283-2},
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year = {2026},
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}
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@article{SunEtAl2026,
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author = {Sun, Chengwei and Zuo, Lili and Nogueira, Idelfonso},
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doi = {10.1016/j.jpse.2026.100538},
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issn = {2667-1433},
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journal = {Journal of Pipeline Science and Engineering},
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month = {May},
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pages = {100538},
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publisher = {Elsevier BV},
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title = {An Efficient Transient Simulation Framework for Natural Gas Networks Using Time-Iterative Decoupling},
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url = {http://dx.doi.org/10.1016/j.jpse.2026.100538},
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year = {2026},
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}
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@article{WangEtAl2026,
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author = {Wang, Sihao and Cao, Hui and Ma, Ruolong},
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doi = {10.3390/app16031161},

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