Scientific Computing and Software
Go20 CSCS, Ghajnsielem, Malta, May 20-24, 2024
Springer
ISBN 978-3-032-17809-1
Standardpreis
Bibliografische Daten
Fachbuch
Buch. Hardcover
2026
20 s/w-Abbildungen, 10 Farbabbildungen.
Umfang: ii, 140 S.
Format (B x L): 15,5 x 23,5 cm
Verlag: Springer
ISBN: 978-3-032-17809-1
Weiterführende bibliografische Daten
Das Werk ist Teil der Reihe: Springer Proceedings in Mathematics & Statistics
Produktbeschreibung
All papers included in this proceedings underwent rigorous peer review. The topics reflect the forefront of scientific computing, emphasizing both theoretical advances and their realization in software—bridging abstract algorithms with practical implementation. Areas of focus include:
- Perturbations and backward error analysis
- Domain decomposition techniques
- Superconvergence of non-stiffly accurate implicit Runge–Kutta methods for index-2 DAEs
- Parallel-in-time spectral deferred correction and collocation methods
- Computational approaches for physiological dysfunctions and clinical medicine
- Parameter estimation for multidimensional stochastic differential equations
- Novel operator-splitting and fractional-step methods for real and complex PDEs
These contributions advance the rapidly evolving field of scientific computing, addressing challenges with profound societal impact—from healthcare and medicine to climate modeling and data-driven decision-making. By highlighting the interplay between theory and software, this book serves as a valuable resource for researchers seeking insight into state-of-the-art methods and their practical applications.
Researchers and practitioners in scientific computing, numerical analysis, and applied mathematics—both academic and non-academic—will find this volume an essential reference for the latest developments in algorithms and software for differential equations and linear systems.
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