Acta Numerica 2024: Volume 33
portes grátis
Acta Numerica 2024: Volume 33
Arnold, Douglas
Cambridge University Press
11/2024
908
Dura
9781009576819
Pré-lançamento - envio 15 a 20 dias após a sua edição
Descrição não disponível.
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.
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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.
Este título pertence ao(s) assunto(s) indicados(s). Para ver outros títulos clique no assunto desejado.
