Results 31 to 40 of about 65,242 (175)
Preconditioned Subspace Descent Method for Nonlinear Systems of Equations
Nonlinear least squares iterative solver is considered for real-valued sufficiently smooth functions. The algorithm is based on successive solution of orthogonal projections of the linearized equation on a sequence of appropriately chosen low-dimensional
Kaporin Igor
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Cross-Modal Subspace Clustering via Deep Canonical Correlation Analysis
For cross-modal subspace clustering, the key point is how to exploit the correlation information between cross-modal data. However, most hierarchical and structural correlation information among cross-modal data cannot be well exploited due to its high-dimensional non-linear property.
Quanxue Gao +3 more
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About Projections of Solutions for Fuzzy Differential Equations
In this paper we propose the concept of fuzzy projections on subspaces of , obtained from Zadeh's extension of canonical projections in , and we study some of the main properties of such projections.
Moiseis S. Cecconello +3 more
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Canonical analysis of two euclidean subspaces and its applications
The authors develop a canonical analysis both without constraints and under constraints for subspaces of Euclidean space. They essentially use operators; this functional approach is in particular justified, since canonical analysis of subspaces attains its full interest only when definitions and results are extended to the infinite dimensional case ...
Dauxois, J., Nkiet, G.M.
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Conditional Lie-Bäcklund Symmetries and Reductions of the Nonlinear Diffusion Equations with Source
Conditional Lie-Bäcklund symmetry approach is used to study the invariant subspace of the nonlinear diffusion equations with source ut=e−qx(epxP(u)uxm)x+Q(x,u), m≠1.
Junquan Song +3 more
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A Perturbation Bound on the Subspace Estimator from Canonical Projections
To appear in Proc.
Srivastava, Karan +1 more
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Blind Identification of FIR Channels in the Presence of Unknown Noise
Blind channel identification techniques based on second-order statistics (SOS) of the received data have been a topic of active research in recent years. Among the most popular is the subspace method (SS) proposed by Moulines et al. (1995).
Kon Max Wong, Xiaojuan He
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General spectral function expressions of a 1D correlated model
We introduce a method that allows the evaluation of general expressions for the spectral functions of the one-dimensional Hubbard model for all values of the on-site electronic repulsion U.
Carmelo, J. M. P., Penc, K.
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Asymptotic and Probabilistic Perturbation Analysis of Controllable Subspaces
In this paper, we consider the sensitivity of the controllable subspaces of single-input linear control systems to small perturbations of the system matrices.
Vera Angelova +2 more
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Localization in Nets of Standard Spaces [PDF]
Starting from a real standard subspace of a Hilbert space and a representation of the translation group with natural properties, we construct and analyze for each endomorphism of this pair a local, translationally covariant net of standard subspaces, on ...
Lechner, Gandalf, Longo, Roberto
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