Parallel in Time Integration Methods 9th (14 results)

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Parallel-in-time Integration Methods : 9th Parallel-in-time Workshop, June 8?12, 2020
Ong, Benjamin (EDT); Schroder, Jacob (EDT); Shipton, Jemma (EDT); Friedhoff, Stephanie (EDT)
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Parallel-in-time Integration Methods : 9th Parallel-in-time Workshop, June 8-12, 2020
Ong, Benjamin (EDT); Schroder, Jacob (EDT); Shipton, Jemma (EDT); Friedhoff, Stephanie (EDT)
Language: English
Published by Springer, 2022
Series: Springer Proceedings in Mathematics & Statistics, Book 355 of 464. Book 355 of 464 - Springer Proceedings in Mathematics & Statistics
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Taschenbuch. Condition: Neu. Parallel-in-Time Integration Methods | 9th Parallel-in-Time Workshop, June 8-12, 2020 | Benjamin Ong (u. a.) | Taschenbuch | Springer Proceedings in Mathematics & Statistics | ix | Englisch | 2022 | Springer | EAN 9783030759353 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr.… 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu.

Parallel-in-time Integration Methods : 9th Parallel-in-time Workshop, June 8?12, 2020
Ong, Benjamin (EDT); Schroder, Jacob (EDT); Shipton, Jemma (EDT); Friedhoff, Stephanie (EDT)
Language: English
Published by Springer, 2021
Series: Springer Proceedings in Mathematics & Statistics, Book 355 of 464. Book 355 of 464 - Springer Proceedings in Mathematics & Statistics
- Hardcover
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Parallel-in-time Integration Methods : 9th Parallel-in-time Workshop, June 8-12, 2020
Ong, Benjamin (EDT); Schroder, Jacob (EDT); Shipton, Jemma (EDT); Friedhoff, Stephanie (EDT)
Language: English
Published by Springer, 2022
Series: Springer Proceedings in Mathematics & Statistics, Book 355 of 464. Book 355 of 464 - Springer Proceedings in Mathematics & Statistics
- Softcover
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Published by Springer International Publishing, 2021
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Buch. Condition: Neu. Druck auf Anfrage Neuware - Printed after ordering - This volume includes contributions from the 9th Parallel-in-Time (PinT) workshop, an annual gathering devoted to the field of time-parallel methods, aiming to adapt existing computer models to next-generation machines by adding a new dimension of scalabil…ity. As the latest supercomputers advance in microprocessing ability, they require new mathematical algorithms in order to fully realize their potential for complex systems. The use of parallel-in-time methods will provide dramatically faster simulations in many important areas, including biomedical (e.g., heart modeling), computational fluid dynamics (e.g., aerodynamics and weather prediction), and machine learning applications. Computational and applied mathematics is crucial to this progress, as it requires advanced methodologies from the theory of partial differential equations in a functional analytic setting, numerical discretization and integration, convergence analyses of iterative methods, and the development and implementation of new parallel algorithms. Therefore, the workshop seeks to bring together an interdisciplinary group of experts across these fields to disseminate cutting-edge research and facilitate discussions on parallel time integration methods.

Language: English
Published by Springer International Publishing, 2022
Series: Springer Proceedings in Mathematics & Statistics, Book 355 of 464. Book 355 of 464 - Springer Proceedings in Mathematics & Statistics
- Softcover
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Taschenbuch. Condition: Neu. Druck auf Anfrage Neuware - Printed after ordering - This volume includes contributions from the 9th Parallel-in-Time (PinT) workshop, an annual gathering devoted to the field of time-parallel methods, aiming to adapt existing computer models to next-generation machines by adding a new dimension of s…calability. As the latest supercomputers advance in microprocessing ability, they require new mathematical algorithms in order to fully realize their potential for complex systems. The use of parallel-in-time methods will provide dramatically faster simulations in many important areas, including biomedical (e.g., heart modeling), computational fluid dynamics (e.g., aerodynamics and weather prediction), and machine learning applications. Computational and applied mathematics is crucial to this progress, as it requires advanced methodologies from the theory of partial differential equations in a functional analytic setting, numerical discretization and integration, convergence analyses of iterative methods, and the development and implementation of new parallel algorithms. Therefore, the workshop seeks to bring together an interdisciplinary group of experts across these fields to disseminate cutting-edge research and facilitate discussions on parallel time integration methods.

Language: English
Published by Springer, 2021
Series: Springer Proceedings in Mathematics & Statistics, Book 355 of 464. Book 355 of 464 - Springer Proceedings in Mathematics & Statistics
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