2017
DOI: 10.1007/s11464-017-0662-z
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Linear homotopy method for computing generalized tensor eigenpairs

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Cited by 11 publications
(4 citation statements)
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“…In this situation, the Power-type methods can be slow. The algorithms proposed in this paper and in [6,7] show that the homotopy techniques are very useful for computing tensor eigenvalues. An interesting direction for future research is to apply a homotopy approach to compute extreme Z-eigenvalues for nonnegative tensors.…”
Section: Discussionmentioning
confidence: 91%
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“…In this situation, the Power-type methods can be slow. The algorithms proposed in this paper and in [6,7] show that the homotopy techniques are very useful for computing tensor eigenvalues. An interesting direction for future research is to apply a homotopy approach to compute extreme Z-eigenvalues for nonnegative tensors.…”
Section: Discussionmentioning
confidence: 91%
“…An attractive class of methods for solving polynomial systems is the homotopy continuation methods, see for example, [1,11,21]. Recently, the homotopy techniques have been successfully used to compute generalized eigenpairs of a tensor in [6,7]). However, the homotopy methods of [6,7] are not suitable for finding the Perron pair of a large size irreducible nonnegative tensor because those methods are designed to find all (real and complex) eigenpairs.…”
Section: Introductionmentioning
confidence: 99%
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“…Chen et al in [4] proposed two homotopy continuation type algorithms to solve tensor eigenproblems. Chen et al in [5] proposed a linear homotopy method for computing generalized tensor eigenpairs and proved that this method finds all isolated B-eigenpairs.…”
mentioning
confidence: 99%