Approximating Sets of Symmetric and Positive-Definite Matrices by Geodesics

Joint Authors

Machado, L.
Leite, F. Silva

Source

Conference Papers in Mathematics

Issue

Vol. 2013, Issue 2013 (31 Dec. 2013), pp.1-7, 7 p.

Publisher

Hindawi Publishing Corporation

Publication Date

2013-08-26

Country of Publication

Egypt

No. of Pages

7

Main Subjects

Mathematics

Abstract EN

We formulate a generalized version of the classical linear regression problem on Riemannian manifolds and derive the counterpart to the normal equations for the manifold of symmetric and positive definite matrices, equipped with the only metric that is invariant under the natural action of the general linear group.

American Psychological Association (APA)

Machado, L.& Leite, F. Silva. 2013. Approximating Sets of Symmetric and Positive-Definite Matrices by Geodesics. Conference Papers in Mathematics،Vol. 2013, no. 2013, pp.1-7.
https://search.emarefa.net/detail/BIM-471189

Modern Language Association (MLA)

Machado, L.& Leite, F. Silva. Approximating Sets of Symmetric and Positive-Definite Matrices by Geodesics. Conference Papers in Mathematics No. 2013 (2013), pp.1-7.
https://search.emarefa.net/detail/BIM-471189

American Medical Association (AMA)

Machado, L.& Leite, F. Silva. Approximating Sets of Symmetric and Positive-Definite Matrices by Geodesics. Conference Papers in Mathematics. 2013. Vol. 2013, no. 2013, pp.1-7.
https://search.emarefa.net/detail/BIM-471189

Data Type

Journal Articles

Language

English

Notes

Includes bibliographical references

Record ID

BIM-471189