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The singular value decomposition and applications in Geodesy (CROSBI ID 173363)

Prilog u časopisu | stručni rad

Zadelj-Martić, Vida The singular value decomposition and applications in Geodesy // Ekscentar, 13 (2010), 60-62

Podaci o odgovornosti

Zadelj-Martić, Vida

engleski

The singular value decomposition and applications in Geodesy

The paper considers the singular value decomposition (SVD) of a general matrix. Some immediate applications, such as determining the spectral and Frobenius norm, rank and pseudoinverse of the matrix are described. Applications also include approximating the given matrix by a matrix of a lower rank. It is also shown how to use SVD for solving the homogeneous linear system and least squares problem. The paper consists of three parts: 1.) The singular value decomposition, 2.) Some applications of the singular value decomposition, 3.) Applications in Geodesy

Singular value decoposition; Unitary matrices; Frobenius norm; Spectral norm; Pseudoinverse; Homogeneous system of linear equations; Least squares problem; Rank

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Podaci o izdanju

13

2010.

60-62

objavljeno

1331-4939

Povezanost rada

Geodezija, Matematika