Metadata
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
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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/

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