Spectral projected gradient methods for generalized tensor eigenvalue complementarity problems
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Publication:1736403
DOI10.1007/s11075-018-0522-2OpenAlexW2963519034MaRDI QIDQ1736403
Yisheng Song, Yi Xu, Zefeng Yu, Gaohang Yu
Publication date: 26 March 2019
Published in: Numerical Algorithms (Search for Journal in Brave)
Full work available at URL: https://arxiv.org/abs/1601.01738
tensorprojected gradient methodeigenvalue complementarity problemPareto eigenvaluePareto eigenvector
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A nonmonotone spectral projected gradient method for tensor eigenvalue complementarity problems ⋮ A class of second-order cone eigenvalue complementarity problems for higher-order tensors ⋮ A semidefinite relaxation method for second-order cone tensor eigenvalue complementarity problems ⋮ A sequential partial linearization algorithm for the symmetric eigenvalue complementarity problem ⋮ Modified spectral PRP conjugate gradient method for solving tensor eigenvalue complementarity problems ⋮ An alternating direction method of multipliers for the eigenvalue complementarity problem ⋮ Pareto eigenvalue inclusion intervals for tensors
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Cites Work
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