Time Parallel Time Integration

·
· CBMS-NSF Regional Conference Series in Applied Mathematics 99-р ном · SIAM
Электрон ном
270
Хуудас
Боломжит
Үнэлгээ болон шүүмжийг баталгаажуулаагүй  Нэмэлт мэдээлэл авах

Энэ электрон номын тухай

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.

The authors describe the four main classes of PinT methods: shooting-type methods, waveform relaxation methods, time parallel multigrid methods, and direct time parallel methods. In addition, they provide historical background for each of the method classes, complete convergence analyses for the most representative variants of the methods in each class, and illustrations and runnable MATLAB code.

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.

Зохиогчийн тухай

Martin J. Gander is a professor of mathematics at the University of Geneva and was previously a professor of mathematics at McGill University. He has held many visiting professor positions, including the Jean Morlet Chair of the CIRM in fall 2022 and the FSMP Chair in Paris in 2023. He became a SIAM Fellow in 2020. His research interests are numerical analysis and scientific computing, numerical linear algebra and parallel computing, iterative methods and preconditioning, and time parallel time integration.

Thibaut Lunet is a postdoctoral fellow at Hamburg University of Technology. After completing his Ph.D. on time parallelization strategies for numerical simulation of turbulent flows at ISAE-SUPAERO and CERFACS (Toulouse University, France, 2018), he was a postdoctoral fellow with Martin Gander, which led to the genesis of this book. His research interests focus on numerical methods for time integration and parallel computing, numerical analysis and scientific computing, and computational fluid dynamics.

Энэ электрон номыг үнэлэх

Санал бодлоо хэлнэ үү.

Унших мэдээлэл

Ухаалаг утас болон таблет
Андройд болон iPad/iPhoneGoogle Ном Унших аппыг суулгана уу. Үүнийг таны бүртгэлд автоматаар синк хийх бөгөөд та хүссэн газраасаа онлайн эсвэл офлайнаар унших боломжтой.
Зөөврийн болон ердийн компьютер
Та компьютерийн веб хөтчөөр Google Play-с авсан аудио номыг сонсох боломжтой.
eReaders болон бусад төхөөрөмжүүд
Kobo Цахим ном уншигч гэх мэт e-ink төхөөрөмжүүд дээр уншихын тулд та файлыг татаад төхөөрөмж рүүгээ дамжуулах шаардлагатай болно. Файлуудаа дэмжигддэг Цахим ном уншигч руу шилжүүлэхийн тулд Тусламжийн төвийн дэлгэрэнгүй зааварчилгааг дагана уу.