Some convergence results on the regularized alternating least-squares method for tensor decomposition (Q1931768)
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| Language | Label | Description | Also known as |
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| English | Some convergence results on the regularized alternating least-squares method for tensor decomposition |
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Some convergence results on the regularized alternating least-squares method for tensor decomposition (English)
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16 January 2013
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The authors analyse the convergence of the regularized alternating least-squares (RALS) algorithm for tensor decompositions. They show that given the existence of critical points of the alternating least-squares method, the limit points of the converging subsequences of the RALS are the critical points of the least squares cost functional.
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tensor decomposition
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nonlinear optimization
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convergence
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algorithm
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alternating least-squares
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