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FACTORIZATION OF THE MATRIX OF ORTHOGONAL PROJECTOR ON A SUBSPACE. / Малоземов, Василий Николаевич; Тамасян, Григорий Шаликович.

In: Journal of Mathematical Sciences, Vol. 273, No. 4, 22.06.2023, p. 485-491.

Research output: Contribution to journal › Article › peer-review

Harvard

Малоземов, ВН & Тамасян, ГШ 2023, 'FACTORIZATION OF THE MATRIX OF ORTHOGONAL PROJECTOR ON A SUBSPACE', Journal of Mathematical Sciences, vol. 273, no. 4, pp. 485-491. https://doi.org/10.1007/s10958-023-06515-w

APA

Малоземов, В. Н., & Тамасян, Г. Ш. (2023). FACTORIZATION OF THE MATRIX OF ORTHOGONAL PROJECTOR ON A SUBSPACE. Journal of Mathematical Sciences, 273(4), 485-491. https://doi.org/10.1007/s10958-023-06515-w

Vancouver

Малоземов ВН, Тамасян ГШ. FACTORIZATION OF THE MATRIX OF ORTHOGONAL PROJECTOR ON A SUBSPACE. Journal of Mathematical Sciences. 2023 Jun 22;273(4):485-491. https://doi.org/10.1007/s10958-023-06515-w

Author

Малоземов, Василий Николаевич ; Тамасян, Григорий Шаликович. / FACTORIZATION OF THE MATRIX OF ORTHOGONAL PROJECTOR ON A SUBSPACE. In: Journal of Mathematical Sciences. 2023 ; Vol. 273, No. 4. pp. 485-491.

BibTeX

@article{9d6809c73c704f98883dd9129877be9b,
title = "FACTORIZATION OF THE MATRIX OF ORTHOGONAL PROJECTOR ON A SUBSPACE",
abstract = "A deep factorization of the orthogonal projection matrix onto a subspace is obtained. The LQ decomposition is used. For construction of an orthogonal matrix Q the method of successive rank reduction is applied.",
author = "Малоземов, {Василий Николаевич} and Тамасян, {Григорий Шаликович}",
year = "2023",
month = jun,
day = "22",
doi = "10.1007/s10958-023-06515-w",
language = "English",
volume = "273",
pages = "485--491",
journal = "Journal of Mathematical Sciences",
issn = "1072-3374",
publisher = "Springer Nature",
number = "4",

}

RIS

TY - JOUR

T1 - FACTORIZATION OF THE MATRIX OF ORTHOGONAL PROJECTOR ON A SUBSPACE

AU - Малоземов, Василий Николаевич

AU - Тамасян, Григорий Шаликович

PY - 2023/6/22

Y1 - 2023/6/22

N2 - A deep factorization of the orthogonal projection matrix onto a subspace is obtained. The LQ decomposition is used. For construction of an orthogonal matrix Q the method of successive rank reduction is applied.

AB - A deep factorization of the orthogonal projection matrix onto a subspace is obtained. The LQ decomposition is used. For construction of an orthogonal matrix Q the method of successive rank reduction is applied.

UR - https://www.mendeley.com/catalogue/bd27bda3-0053-3446-b90d-7a1937b957f7/

U2 - 10.1007/s10958-023-06515-w

DO - 10.1007/s10958-023-06515-w

M3 - Article

VL - 273

SP - 485

EP - 491

JO - Journal of Mathematical Sciences

JF - Journal of Mathematical Sciences

SN - 1072-3374

IS - 4

ER -

ID: 106680578