arXiv (OAI Expanded)
open access
Online adaptive non-intrusive model reduction via manifold interpolation and subspace updates: application to FSI convergence acceleration
We introduce a novel online adaptive non-intrusive reduced-order modeling strategy for parameterized dynamical systems involving parameter and time-dependent reduced bases. The proposed framework is based on a unified Grassmann manifold formulation combining three key components: interpolation of lo
Conceptio Open Archive
Analyze & explore related research in Conceptio
Connect this record directly into your research workflow or AI agent. Explore citations across open repositories, query full text, and export structured proof bundles.
This document is indexed with metadata only: full text is not available in the archive for this record. Open the official source ↗
Related documents
- Non-intrusive Nonlinear Model Reduction via Machine Learning Approximations to Low-dimensional Operators#1145817
- Non-intrusive nonlinear model reduction via machine learning approximations to low-dimensional operators#1145816
- Forward-Backward Extended DMD with an Asymptotic Stability Constraint#971652
- $H_2$-Optimal Estimation of Linear Delayed and PDE Systems#153005
- Prelimit Coupling and Steady-State Convergence of Constant-stepsize Nonsmooth Contractive SA#1082910
Record · ID 1123293
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Bring this data into your agent: Connect via MCP or API · 20 free credits to start · no card required
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive