EIGEN VALUE DECOMPOSITION AND ITS APPLICATIONS IN SCIENCE AND ENGINEERING

PARIPEX-INDIAN JOURNAL OF RESEARCH 2026 Open access

Read full text
Authors: Shaila Bhat, C. Anil, Bhagyalakshmi K Dr. Bhagyalakshmi K, Gurupadavva Ingalahalli
DOI: 10.36106/paripex/7902761
Cited by: 0

Abstract

Eigenvalue decomposition (EVD) is a key method for breaking down matrices in linear algebra.It is widely used in engineering, data science, and applied mathematics.This study looks at the theoretical basics and various applications of EVD.It highlights the benefits of its computation and the insights it can provide.

Fields of Study & Subjects

Matrix Theory and Algorithms Statistical Methods and Applications Mathematical and Computational Methods

Publication details

Journal / source
PARIPEX-INDIAN JOURNAL OF RESEARCH
Pages
21–21
Publication date
15 January 2026