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.

Table des matières

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.

A propos de l'auteur

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

Résumé

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.

Détails du produit

• Auteurs: Douglas (University of Minnesota) Arnold
• Collaboration: Douglas Arnold (Editeur), Douglas (University of Minnesota) Arnold (Editeur)
• Edition: Cambridge University Press ELT
• Langues: Anglais
• Format d'édition: Livre Relié
• Sortie: 31.01.2025
• EAN: 9781009576819
• ISBN: 978-1-0-0957681-9
• Pages: 908
• Thème: Acta Numerica
• Catégories: Sciences naturelles, médecine, informatique, technique > Mathématiques > Analyse; MATHEMATICS / Mathematical Analysis, Numerical analysis, Maths for computer scientists