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• W3170605164 abstract "We propose new tensor Krylov subspace methods  for ill-posed linear tensor problems such as color or video image restoration. Those methods are based on the tensor-tensor discrete cosine transform that gives fast tensor-tensor product computations. In particular, we will focus on the tensor discrete cosine versions of GMRES, Golub-Kahan bidiagonalisation and LSQR methods. The presented numerical tests show that the methods are very fast and give good accuracies when solving some linear tensor ill-posed problems." @default.
• W3170605164 created "2021-06-22" @default.
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• W3170605164 date "2021-05-31" @default.
• W3170605164 modified "2023-09-23" @default.
• W3170605164 title "Discrete cosine transform LSQR methods for multidimensional ill-posed problems" @default.
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• W3170605164 doi "https://doi.org/10.22124/jmm.2021.19303.1659" @default.
• W3170605164 hasPublicationYear "2021" @default.
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