Acta Numerica 2024: Volume 33

Acta Numerica is an annual publication containing invited survey papers by leading researchers in numerical mathematics and scientific computing. The papers present overviews of recent developments in their area and provide state-of-the-art techniques and analysis.

Inhaltsverzeichnis

1. Splitting methods for differential equations Sergio Blanes, Fernando Casas and Ander Murua; 2. Adaptive finite element methods Andrea Bonito, Claudio Canuto, Ricardo H. Nochetto and Andreas Veeser; 3. The geometry of monotone operator splitting methods Patrick L. Combettes; 4. Numerical analysis of physics-informed neural networks and related models in physics-informed machine learning Tim De Ryck and Siddhartha Mishra; 5. Optimal experimental design: Formulations and computations Xun Huan, Jayanth Jagalur and Youssef Marzouk; 6. The Moment-SOS hierarchy: applications and related topics Jean B. Lasserre.

Über den Autor / die Autorin

Douglas Arnold is McKnight Presidential Professor of Mathematics at the University of Minnesota.

Zusammenfassung

Acta Numerica is an annual publication containing invited survey papers by leading researchers in numerical mathematics and scientific computing. The papers present overviews of recent developments in their area and provide state-of-the-art techniques and analysis.

Produktdetails

• Autoren: Douglas (University of Minnesota) Arnold
• Mitarbeit: Douglas Arnold (Herausgeber), Douglas (University of Minnesota) Arnold (Herausgeber)
• Verlag: Cambridge University Press ELT
• Sprache: Englisch
• Produktform: Fester Einband
• Erschienen: 31.01.2025
• EAN: 9781009576819
• ISBN: 978-1-0-0957681-9
• Seiten: 908
• Serie: Acta Numerica
• Themen: Naturwissenschaften, Medizin, Informatik, Technik > Mathematik > Analysis; MATHEMATICS / Mathematical Analysis, Numerical analysis, Maths for computer scientists