arXiv (All)
open access
A Tree-Based Localized Reduced Basis Method for Parametrized Parabolic PDEs
We propose a localized reduced basis method for parametrized parabolic partial differential equations based on an adaptive partitioning of the parameter domain using hierarchical binary trees. A POD-Greedy procedure is employed to construct reduced spaces associated with each parameter subdomain. A
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
- Comparison of Numerical Solvers for Differential Equations for Holonomic Gradient Method in Statistics#128248
- Di-BiLPS: Denoising induced Bidirectional Latent-PDE-Solver under Sparse Observations#180650
- High order biorthogonal functions for the discrete de Rham complex on simplices*#1064948
- Decoupled energy-stable Runge-Kutta schemes of arbitrary order for the anisotropic phase-field dendritic crystal growth model#1076104
- Picard-Based Acceleration of Newton Continuation for Mean Field Game PDE Systems#1123227
Record · ID 1130983
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