Digital Commons @ Michigan Tech
metadata only
Operator Inference for Elliptic Eigenvalue Problems
Efficient computation of elliptic eigenvalue problems is critical in science and engineering. In this paper, we propose a novel operator learning framework that directly maps arbitrary domains to their associated eigenvalues and eigenfunctions. Our approach employs a hybrid architecture combining Co
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
- An eigenvalue problem for a generalized polyharmonic operator in Orlicz-Sobolev spaces without the $Δ_2$-condition#1084133
- Pólya's conjecture for higher-dimensional Neumann balls#1062976
- An endpoint exception to a conjectured equality characterization for Laplacian eigenvalue products#1110442
- QCommute: a tool for symbolic computation of nested commutators in quantum many-body spin-1/2 systems#1412506
- Exact-curved Lagrange finite elements for the Poisson problem in two dimensions#1387079
Record · ID 1422210
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