Results 81 to 90 of about 5,012,670 (186)
Interlacing inequalities for generalized singular values [PDF]
, 1987 A generalization of the concept of singular value of a complex matrix introduced by J. F. Maitre and N. Huu Vinh is considered. We give the relation between the singular values of two matrices and the singular values of their sum, and we find Cauchy ...
Sodupe, María-José
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Spectral norm and energy of a digraph with respect to a VDB topological index
HeliyonThe set of singular values of a digraph with respect to a vertex-degree based topological index is the set of all singular values of its general adjacency matrix.
Carlos Espinal, Juan Monsalve, Juan Rada
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State dependent predictability: impact of uncertainty dynamics, uncertainty structure and model inadequacies [PDF]
Nonlinear Processes in Geophysics, 2004 The implications of state dependent, finite time error growth has been studied using singular values in a chaotic 2-dimensional map. Earlier studies have demonstrated the superiority of the singular values over the Lyapunov number in ...
V. M. Khade, J. A. Hansen
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On Singular Interval-Valued Iteration Groups [PDF]
Frontiers in Applied Mathematics and Statistics, 2016 Let I=(a,b) and L be a nowhere dense perfect set containing the ends of the interval I and let varphi:Ito mathbb R be a non-increasing continuoussurjection constant on the components of Isetminus L and the closures of these components be the maximal intervals of constancy of varphi .
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Singular vector expansion functions for finite methods [PDF]
, 2005 This paper describes the fundamental properties of new singular vector bases that incorporate the edge conditions in curved triangular elements. The bases are fully compatible with the interpolatory or hierarchical high-order regular vector bases used in
Graglia, Roberto, Lombardi, Guido
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Singular Value and Structured Singular Value Bounds in Parameter Space [PDF]
, 2002 This contribution discusses the mapping of singular value (sigma-) bounds and structured singuar value (mu-) bounds into parameter space. The sigma- and mu- mapping problem is defined to enclose robut design and analysis in parameter space. Real, complex and mixed uncertainty structures are considered.
Bajcinca, N., Muhler, M.
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Image Denoising Using Sparsifying Transform Learning and Weighted Singular Values Minimization. [PDF]
Comput Intell Neurosci, 2020 Zhao Y, Yang P, Guan Q, Zheng J, Wang W.
europepmc +1 more source
Differentiable Singular Value Decomposition
CoRRSingular value decomposition is widely used in modal analysis, such as proper orthogonal decomposition and resolvent analysis, to extract key features from complex problems. SVD derivatives need to be computed efficiently to enable the large scale design optimization.
Rohit Kanchi, Sicheng He
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The predictability of large-scale wind-driven flows [PDF]
Nonlinear Processes in Geophysics, 2001 The singular values associated with optimally growing perturbations to stationary and time-dependent solutions for the general circulation in an ocean basin provide a measure of the rate at which solutions with nearby initial conditions begin to ...
A. Mahadevan +4 more
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