Time parallel time integration:
Predicting the future is a difficult task but, as with the weather, it is possible with good models. But how does one predict the far future before the near future is known? Time parallel time integration, also known as PinT (Parallel-in-Time) methods, aims to predict the near and far future simulta...
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| Main Authors: | , |
|---|---|
| Format: | Electronic eBook |
| Language: | English |
| Published: |
Philadelphia
SIAM, Society for Industrial and Applied Mathematics
[2024]
|
| Series: | CBMS-NSF regional conference series in applied mathematics
99 |
| Online Access: | DE-91 DE-20 DE-29 Volltext |
| Summary: | Predicting the future is a difficult task but, as with the weather, it is possible with good models. But how does one predict the far future before the near future is known? Time parallel time integration, also known as PinT (Parallel-in-Time) methods, aims to predict the near and far future simultaneously. In this self-contained book, the first on the topic, readers will find a comprehensive and up-to-date description of methods and techniques that have been developed to do just this. An ideal introduction to this exciting and very active research field, Time Parallel Time Integration can be used for independent study or for a graduate course. |
| Physical Description: | 1 Online-Ressource (xii, 260 Seiten) |
| ISBN: | 9781611978025 |
| DOI: | 10.1137/1.9781611978025 |
Staff View
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| id | DE-604.BV049920726 |
| illustrated | Not Illustrated |
| indexdate | 2025-05-30T12:00:26Z |
| institution | BVB |
| isbn | 9781611978025 |
| language | English |
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| physical | 1 Online-Ressource (xii, 260 Seiten) |
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| publisher | SIAM, Society for Industrial and Applied Mathematics |
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| series | CBMS-NSF regional conference series in applied mathematics |
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| spelling | Gander, Martin J. (DE-588)1052609600 aut Time parallel time integration Martin J. Gander ; Thibaut Lunet Philadelphia SIAM, Society for Industrial and Applied Mathematics [2024] © 2024 1 Online-Ressource (xii, 260 Seiten) txt rdacontent c rdamedia cr rdacarrier CBMS-NSF regional conference series in applied mathematics 99 Predicting the future is a difficult task but, as with the weather, it is possible with good models. But how does one predict the far future before the near future is known? Time parallel time integration, also known as PinT (Parallel-in-Time) methods, aims to predict the near and far future simultaneously. In this self-contained book, the first on the topic, readers will find a comprehensive and up-to-date description of methods and techniques that have been developed to do just this. An ideal introduction to this exciting and very active research field, Time Parallel Time Integration can be used for independent study or for a graduate course. Lunet, Thibaut aut Erscheint auch als Druck-Ausgabe 978-1-61197-801-8 Erscheint auch als Druck-Ausgabe 978-1-61197-802-5 CBMS-NSF regional conference series in applied mathematics 99 (DE-604)BV046682627 99 https://doi.org/10.1137/1.9781611978025 Verlag URL des Erstveröffentlichers Volltext |
| spellingShingle | Gander, Martin J. Lunet, Thibaut Time parallel time integration CBMS-NSF regional conference series in applied mathematics |
| title | Time parallel time integration |
| title_auth | Time parallel time integration |
| title_exact_search | Time parallel time integration |
| title_full | Time parallel time integration Martin J. Gander ; Thibaut Lunet |
| title_fullStr | Time parallel time integration Martin J. Gander ; Thibaut Lunet |
| title_full_unstemmed | Time parallel time integration Martin J. Gander ; Thibaut Lunet |
| title_short | Time parallel time integration |
| title_sort | time parallel time integration |
| url | https://doi.org/10.1137/1.9781611978025 |
| volume_link | (DE-604)BV046682627 |
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