Dictionary:Singular-value decomposition (SVD)

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Solving the matrix A for the positive square roots of the eigenvalues of AFile:Bstarf-script.gifA where AFile:Bstarf-script.gif is the adjoint of the matrix A. A common and precise way of solving linear least-squares problems, similar to principal-component analysis and the Karhunen-Loeve transform. See[1].


References

[2]
[3]
[4]


External links

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Singular-value decomposition (SVD)
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  1. Lines, L. R; Treitel, S (1984). Tutorial: A review of least-squares inversion and its application to geophysical problems. 32. pp. 159-186. doi:10.1111/j.1365-2478.1984.tb00726.x.
  2. Whaley, J., 2017, Oil in the Heart of South America, https://www.geoexpro.com/articles/2017/10/oil-in-the-heart-of-south-america], accessed November 15, 2021.
  3. Wiens, F., 1995, Phanerozoic Tectonics and Sedimentation of The Chaco Basin, Paraguay. Its Hydrocarbon Potential: Geoconsultores, 2-27, accessed November 15, 2021; https://www.researchgate.net/publication/281348744_Phanerozoic_tectonics_and_sedimentation_in_the_Chaco_Basin_of_Paraguay_with_comments_on_hydrocarbon_potential
  4. Alfredo, Carlos, and Clebsch Kuhn. “The Geological Evolution of the Paraguayan Chaco.” TTU DSpace Home. Texas Tech University, August 1, 1991. https://ttu-ir.tdl.org/handle/2346/9214?show=full.