An automated parameter domain decomposition approach for gravitational wave surrogates using hp-greedy refinement

DOI10.1088/1361-6382/acf4e7arXiv2212.08554MaRDI QIDQ6078177

Unnamed Author, Manuel Tiglio, J. Andrés Díaz Pace

Publication date: 27 September 2023

Published in: Classical and Quantum Gravity (Search for Journal in Brave)

Full work available at URL: https://arxiv.org/abs/2212.08554

zbMATH Keywords

gravitational wavesmachine learningreduced basisnumerical relativity

Mathematics Subject Classification ID

Black holes (83C57) Computational methods for problems pertaining to relativity and gravitational theory (83-08) Gravitational waves (83C35)

Cites Work

• Unnamed Item
• Iterative algorithms for Gram-Schmidt orthogonalization
• Continuum and discrete initial-boundary value problems and Einstein's field equations
• Greedy algorithms for reduced bases in Banach spaces
• Two-step greedy algorithm for reduced order quadratures
• A prioriconvergence of the Greedy algorithm for the parametrized reduced basis method
• Reduced basis representations of multi-mode black hole ringdown gravitational waves
• Certified Reduced Basis Methods for Parametrized Partial Differential Equations
• Certified Reduced Basis Methods and Output Bounds for the Harmonic Maxwell's Equations
• Convergence Rates for Greedy Algorithms in Reduced Basis Methods
• Spectral Methods for Time-Dependent Problems
• The condition of gram matrices and related problems
• An Introduction to Statistical Learning
• An "$hp$" Certified Reduced Basis Method for Parametrized Elliptic Partial Differential Equations
• Black hole mergers and unstable circular orbits
• On exact values of \(n\)-widths in a Hilbert space

This page was built for publication: An automated parameter domain decomposition approach for gravitational wave surrogates using hp-greedy refinement