We consider solving an ill-conditioned linear operator equation, where the operator is not modeled by physical laws but is specified via training pairs (consisting of images and data) of the input–output relation of the operator. The proposed method for computing the operator from training pairs consists of a Gram–Schmidt orthonormalization of images ...
Aspri, Andrea +2 more
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Lossless and Lossy Characterization of the State of Perturbed Anharmonic Diatomics: An Information-Theoretic Compaction of Quantum Dynamics. [PDF]
Hamilton JR, Levine RD.
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Numerical Analysis 2000 Vol. III: Linear Algebra
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Robustness of Topological Phases on Aperiodic Lattices. [PDF]
Li Y.
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Critical points and syzygies for Feynman integrals. [PDF]
Page B, Song Q.
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Linear convergence of the NQZ algorithm for finding the H-spectral radius of nonnegative tensors. [PDF]
Lv H, Chen M.
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Data-driven p-norms for estimating transmission loss coefficients in power systems. [PDF]
Montoya OD +2 more
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Predictive modeling for physicochemical properties of β-lactam antibiotics through eigenvalue based topological indices and non linear regression techniques. [PDF]
Yuvaraj A +4 more
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Algebraic Approach to Maximum Likelihood Factor Analysis. [PDF]
Fukasaku R +3 more
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Numerical analysis, spectral graph theory, orthogonal polynomials and quantum algorithms. [PDF]
Minenkova A, Mograby G, Zhan H.
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