Results 181 to 190 of about 221 (205)
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Linearity preserving modified LDA methods for unsteady advection-diffusion problems
Computers & Mathematics with Applications, 2023zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Hossain Chizari +2 more
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A HUA TYPE THEOREM AND LINEAR PRESERVER PROBLEMS
Mathematical Proceedings of the Royal Irish Academy, 2009In this interesting paper, the author studies linear maps \(\phi:\mathcal A\to \mathcal B\) between Banach algebras \(\mathcal A,\mathcal B\) that strongly preserve different sorts of invertibility, such as generalized invertibility, group invertibility, Drazin invertibility, Moore-Penrose invertibility, and invertibility.
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Mathematics and Computers in Simulation, 2022
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Cheng Dong, Tong Kang
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zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Cheng Dong, Tong Kang
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Journal of Computational Physics, 2012
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Jiming Wu, Zhiming Gao, Zihuan Dai
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Jiming Wu, Zhiming Gao, Zihuan Dai
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Preservation of local linearity by neighborhood subspace scaling for solving the pre-image problem
Journal of Zhejiang University SCIENCE C, 2014An important issue involved in kernel methods is the pre-image problem. However, it is an ill-posed problem, as the solution is usually nonexistent or not unique. In contrast to direct methods aimed at minimizing the distance in feature space, indirect methods aimed at constructing approximate equivalent models have shown outstanding performance.
Sheng-kai Yang +2 more
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On some linear and nonlinear preserver problems
p.Dhifaoui, Kawther, Mabrouk, Mohamed
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A convexity problem and a new proof for linearity preserving additions of fuzzy intervals
Fuzzy Sets and Systems, 2008zbMATH Open Web Interface contents unavailable due to conflicting licenses.
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Linear theory of boundary preserving regularization of low-level vision problems
Annual Meeting Optical Society of America, 1987Many problems in low-level vision are ill-posed in the sense that their solution does not exist, is not unique, or does not depend continuously on the data. Following the ideas of Poggio and Torre1, we approach such problems by using the Tikhonov and Arsenin2 regularization.
David Shulman, John Aloimonos
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