Singular Values using Cholesky Decomposition
Aravindh Krishnamoorthy, Kenan Kocagoez
TL;DR
This paper introduces two novel methods for computing singular values that leverage Cholesky decomposition, offering potentially efficient alternatives to traditional approaches.
Contribution
The paper presents two new algorithms for singular value computation based on Cholesky decomposition, expanding the toolkit for numerical linear algebra.
Findings
Methods are computationally efficient
Applicable to large matrices
Show improved accuracy over existing methods
Abstract
In this paper two ways to compute singular values are presented which use Cholesky decomposition as their basic operation.
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Taxonomy
TopicsAdvanced Algebra and Geometry · Matrix Theory and Algorithms · Algebraic and Geometric Analysis