Matrix LSQR algorithm for structured solutions to quaternionic least squares problem
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Publication:2203782
DOI10.1016/j.camwa.2018.10.023zbMath1442.65102OpenAlexW2899544094WikidataQ128963440 ScholiaQ128963440MaRDI QIDQ2203782
Publication date: 2 October 2020
Published in: Computers \& Mathematics with Applications (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1016/j.camwa.2018.10.023
real representationquaternionic least squares\(\eta\)-Hermitian matrixmatrix LSQR algorithmstructured preconditioner
Numerical mathematical programming methods (65K05) Quadratic programming (90C20) Matrix equations and identities (15A24) Hermitian, skew-Hermitian, and related matrices (15B57)
Related Items (3)
An efficient real representation method for least squares problem of the quaternion constrained matrix equation AXB + CY D = E ⋮ Least-squares bihermitian and skew bihermitian solutions of the quaternion matrix equationAXB = C ⋮ A complex structure-preserving algorithm for computing the singular value decomposition of a quaternion matrix and its applications
Uses Software
Cites Work
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