Eig-PIELM: A Mesh-Free Approach for Efficient Eigen-Analysis with Physics-Informed Extreme Learning Machines

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Title: Eig-PIELM: A Mesh-Free Approach for Efficient Eigen-Analysis with Physics-Informed Extreme Learning Machines
Category: general
UUID: 6b5a3d56862b48ec8baf7421b947a452

Source URL: https://wsai.iitm.ac.in/preprints/eig-pielm-a-mesh-free-approach-for-efficient-e...
Parent URL: https://wsai.iitm.ac.in/preprints/
Crawl Time: 2026-03-23T19:09:53+00:00

# Eig-PIELM: A Mesh-Free Approach for Efficient Eigen-Analysis with Physics-Informed Extreme Learning Machines

**Source**: https://wsai.iitm.ac.in/preprints/eig-pielm-a-mesh-free-approach-for-efficient-eigen-analysis-with-physics-informed-extreme-learning-machines-47/
**Parent**: https://wsai.iitm.ac.in/preprints/

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## Eig-PIELM: A Mesh-Free Approach for Efficient Eigen-Analysis with Physics-Informed Extreme Learning Machines

<https://doi.org/10.48550/arXiv.2508.15343>

Authors

Mishra, Rishi
,
Smriti
,
Krishnamurthi, Ganapathy
,
Srinivasan, Balaji
,
Natarajan, Sundararajan

Preprint Server

arXiv

Rishi Mishra, Smriti, Ganapathy Krishnamurthi, Balaji Srinivasan, Sundararajan Natarajan, Eig-PIELM: A Mesh-Free Approach for Efficient Eigen-Analysis with Physics-Informed Extreme Learning Machines

Preprint link: <https://arxiv.org/abs/2508.15343>