Modified gradient dynamic approach to the tensor complementarity problem
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Publication:5210745
DOI10.1080/10556788.2019.1578766zbMath1432.37105arXiv1808.03021OpenAlexW2915529134WikidataQ128336673 ScholiaQ128336673MaRDI QIDQ5210745
Liqun Qi, Yi-Min Wei, Mao-Lin Che, Xue-Zhong Wang
Publication date: 21 January 2020
Published in: Optimization Methods and Software (Search for Journal in Brave)
Full work available at URL: https://arxiv.org/abs/1808.03021
Numerical computation of eigenvalues and eigenvectors of matrices (65F15) Simulation of dynamical systems (37M05) Multilinear algebra, tensor calculus (15A69)
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Cites Work
- Unnamed Item
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- Positive-definite tensors to nonlinear complementarity problems
- Tensor complementarity problem and semi-positive tensors
- Global uniqueness and solvability for tensor complementarity problems
- Properties of solution set of tensor complementarity problem
- The sparsest solutions to \(Z\)-tensor complementarity problems
- Formulating an \(n\)-person noncooperative game as a tensor complementarity problem
- Global exponential convergence and stability of gradient-based neural network for online matrix inversion
- ``Neural computation of decisions in optimization problems
- A semismooth equation approach to the solution of nonlinear complementarity problems
- A neural network for the linear complementarity problem
- \(\mathrm{P}\)-tensors, \(\mathrm{P}_0\)-tensors, and their applications
- An iterative method for finding the least solution to the tensor complementarity problem
- Tensor absolute value equations
- Properties of some classes of structured tensors
- A homotopy method for solving multilinear systems with M-tensors
- A mixed integer programming approach to the tensor complementarity problem
- Gradient-based identification methods for Hammerstein nonlinear ARMAX models
- Nonlinear vibration analysis of micro-plates based on strain gradient elasticity theory
- Eigenvalues of a real supersymmetric tensor
- Exceptionally regular tensors and tensor complementarity problems
- A New Merit Function For Nonlinear Complementarity Problems And A Related Algorithm
- A special newton-type optimization method
- Properties of Tensor Complementarity Problem and Some Classes of Structured Tensors
- Tensor complementarity problems: the GUS-property and an algorithm
- Solving nonlinear complementarity problems with neural networks: A reformulation method approach