arXiv (All)
open access
Convergence Analysis of Variable-Separation-Based Model Reduction for Linear Parametric Partial Differential Equations
This paper analyzes the convergence of a variable-separation (VS) model reduction method that successively constructs separated approximations to the solutions of linear parametric partial differential equations (PDEs) by solving residual problems at sampled parameter values. We prove that the resul
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
- Exact model reduction by Lie symmetry groups#1402018
- Decoupled flux limiting high order finite difference methods for hyperbolic conservation laws#628732
- An implicit multiscale solver for steady kinetic equations based on wave-particle decomposition#1355649
- A Robust ADI-Based Direct Discontinuous Galerkin Method for Two-Dimensional Singularly Perturbed Parabolic PDEs#1458813
- High-Order Discontinuous Cut Finite Element Methods for Scalar Hyperbolic Conservation Laws#986505
Record · ID 1456962
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