Simple Randomized Cur Algorithms for Method of Moments Matrix Compression

The Method of Moments (MoM) discretization of electromagnetic scattering problems modeled with Integral Equations [1] results in systems of equations with a vast number of unknowns, demanding significant computational resources. Over the past three decades, substantial research has produced highly efficient algorithms [2], termed “Fast Solvers”, with reduced storage requirements and computational complexity, enabling iterative solutions on personal computers with millions of unknowns and even billions on supercomputers.

Authors

Institutions

Publication Details

Published
2024-09-02
DOI
https://doi.org/10.1109/iceaa61917.2024.10701993
Primary Topic
Neural Networks and Applications
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Simple Randomized Cur Algorithms for Method of Moments Matrix Compression

A. Heldring, Juan M. Rius, Eduard Úbeda
Neural Networks and Applications
article

Simple Randomized Cur Algorithms for Method of Moments Matrix Compression

A. Heldring, Juan M. Rius, Eduard Úbeda
article en

Abstract

The Method of Moments (MoM) discretization of electromagnetic scattering problems modeled with Integral Equations [1] results in systems of equations with a vast number of unknowns, demanding significant computational resources. Over the past three decades, substantial research has produced highly efficient algorithms [2], termed “Fast Solvers”, with reduced storage requirements and computational complexity, enabling iterative solutions on personal computers with millions of unknowns and even billions on supercomputers.

Universitat Politècnica de Catalunya (ES)
Openalex Percentile: Top 85%
Neural Networks and Applications
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.