Scientific Computing and Software, Gebunden
Scientific Computing and Software
- Go20 CSCS, Ghajnsielem, Malta, May 20-24, 2024
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- Herausgeber:
- Raymond J. Spiteri, Siqi Wei
- Verlag:
- Springer Nature Switzerland AG, 04/2026
- Einband:
- Gebunden
- Sprache:
- Englisch
- ISBN-13:
- 9783032178091
- Artikelnummer:
- 12675047
- Umfang:
- 140 Seiten
- Erscheinungstermin:
- 16.4.2026
- Serie:
- Springer Proceedings in Mathematics & Statistics
- Hinweis
-
Achtung: Artikel ist nicht in deutscher Sprache!
Weitere Ausgaben von Scientific Computing and Software |
Preis |
|---|---|
| Buch, Gebunden, Englisch | EUR 219,03* |
Klappentext
This volume presents a curated collection of contributions from the Go20 Conference on Scientific Computing and Software, held May 20--24, 2024, in Gozo, Malta. Go20 is an exclusive, invitation-only event limited to 20 participants, designed to foster deep exchange among leading experts from academia, industry, and the public sector. With no parallel sessions and 45-minute talks by every attendee, the conference offers an intensive forum for sharing cutting-edge research.
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.