A modified Newton's method for best rank-one approximation to tensors
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Publication:979270
DOI10.1016/j.amc.2009.12.019zbMath1226.65031OpenAlexW2072422975MaRDI QIDQ979270
Yannan Chen, Jingya Chang, Wen-Yu Sun
Publication date: 25 June 2010
Published in: Applied Mathematics and Computation (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1016/j.amc.2009.12.019
global convergencenumerical experimentsalternating least squares algorithmmodified Newton's methodtensor computationGRQ-Newton methodJacobi-Gauss-Newton algorithmprojective directionrank-one approximation
Numerical solutions to overdetermined systems, pseudoinverses (65F20) Numerical mathematical programming methods (65K05) Methods of quasi-Newton type (90C53) Vector and tensor algebra, theory of invariants (15A72)
Related Items
Algorithms for structure preserving best rank-one approximations of partially symmetric tensors, Successive unconstrained dual optimization method for~rank-one approximation to tensors, A locally convergent Jacobi iteration for the tensor singular value problem
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