Results 11 to 20 of about 1,028,789 (292)
Operator compression with deep neural networks [PDF]
Advances in Continuous and Discrete Models, 2022 Abstract This paper studies the compression of partial differential operators using neural networks. We consider a family of operators, parameterized by a potentially high-dimensional space of coefficients that may vary on a large range of scales.
Kröpfl, Fabian +2 more
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The induced generalized OWA operator (WP) [PDF]
, 2013 [spa] Se presenta el operador OWA generalizado inducido (IGOWA). Es un nuevo operador de agregación que generaliza al operador OWA a través de utilizar las principales características de dos operadores muy conocidos como son el operador OWA generalizado ...
Merigó Lindahl, José M. +1 more
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Compressions of Multiplication Operators and Their Characterizations [PDF]
Results in Mathematics, 2020 AbstractDual truncated Toeplitz operators and other restrictions of the multiplication by the independent variable $$M_z$$ M z on the classical $$L^2$$ L 2 space on the unit circle are investigated. Commutators are calculated and commutativity is characterized.
Câmara, M. +3 more
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Mixed operators in compressed sensing [PDF]
2010 44th Annual Conference on Information Sciences and Systems (CISS), 2010 Applications of compressed sensing motivate the possibility of using different operators to encode and decode a signal of interest. Since it is clear that the operators cannot be too different, we can view the discrepancy between the two matrices as a perturbation.
Matthew A. Herman, Deanna Needell
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Sparse Compression of Expected Solution Operators [PDF]
SIAM Journal on Numerical Analysis, 2020 We show that the expected solution operator of prototypical linear elliptic PDEs with random coefficients is well approximated by a computable sparse matrix. This result is based on a random localized orthogonal multiresolution decomposition of the solution space that allows both the sparse approximate inversion of the random operator represented in ...
Michael Feischl, Daniel Peterseim
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Compressive identification of linear operators [PDF]
2011 IEEE International Symposium on Information Theory Proceedings, 2011 To be presented at IEEE Int. Symp. Inf.
Reinhard Heckel, Helmut Bölcskei
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LIE operators for compressive sensing [PDF]
2014 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2014 We consider the efficient acquisition, parameter estimation, and recovery of signal ensembles that lie on a low-dimensional manifold in a high-dimensional ambient signal space. Our particular focus is on randomized, compressive acquisition of signals from the manifold generated by the transformation of a base signal by operators from a Lie group.
Chinmay Hegde +2 more
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Compression of quantum-measurement operations [PDF]
Physical Review A, 2001 We generalize recent work of Massar and Popescu dealing with the amount of classical data that is produced by a quantum measurement on a quantum state ensemble. In the previous work it was shown how spurious randomness generally contained in the outcomes can be eliminated without decreasing the amount of knowledge, to achieve an amount of data equal to
Winter, Andreas, Massar, Serge
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Extremal compressions of closed operators [PDF]
Proceedings of the American Mathematical Society, 1992 Let X X be a Banach space, A
Förster, K.-H., Jahn, K.
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ON FINE SPECTRA AND SUBSPECTRUM (APPROXIMATE POINT, DEFECT AND COMPRESSION) OF OPERATOR WITH PERIODIC COEFFICIENTS [PDF]
, 2017 The main purpose of this work is to determine of fine spectra and subspectra such as approximate point spectrum, defect spectrum and compression spectrum of the difference operator with periodic coefficients over the sequence spaces l(1)
Manafov, Manaf Dzh. +2 more
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