Results 21 to 30 of about 1,611 (136)
Projective cluster-additive transformation for quantum lattice models
We construct a projection-based cluster-additive transformation that block-diagonalizes wide classes of lattice Hamiltonians $\mathcal{H}=\mathcal{H}_0 +V$.
Max Hörmann, Kai P. Schmidt
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Kubo-Martin-Schwinger relation for an interacting mobile impurity
In this work we study the Kubo-Martin-Schwinger (KMS) relation in the Yang-Gaudin model of an interacting mobile impurity. We use the integrability of the model to compute the dynamic injection and ejection Green's functions at finite temperatures.
Oleksandr Gamayun +2 more
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Incremental Canonical Correlation Analysis
Canonical correlation analysis (CCA) is a kind of a simple yet effective multiview feature learning technique. In general, it learns separate subspaces for two views by maximizing their correlations.
Hongmin Zhao, Dongting Sun, Zhigang Luo
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Subspace perspective on canonical correlation analysis: Dimension reduction and minimax rates [PDF]
Canonical correlation analysis (CCA) is a fundamental statistical tool for exploring the correlation structure between two sets of random variables. In this paper, motivated by recent success of applying CCA to learn low dimensional representations of high dimensional objects, we propose to quantify the estimation loss of CCA by the excess prediction ...
Ma, Zhuang, Li, Xiaodong
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Quality-Relevant Batch Process Fault Detection Using a Multiway Multi-Subspace CVA Method
For batch process fault detection, regular data-driven methods cannot distinguish quality-irrelevant faults from quality-relevant faults. To solve such problem, we propose a multiway multisubspace canonical variate analysis (MMCVA) method for the batch ...
Yuping Cao +3 more
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Discrete linear canonical wavelet transform and its applications
The continuous generalized wavelet transform (GWT) which is regarded as a kind of time-linear canonical domain (LCD)-frequency representation has recently been proposed.
Jiatong Wang +3 more
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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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How Does the Planck Scale Affect Qubits?
Gedanken experiments in quantum gravity motivate generalised uncertainty relations (GURs) implying deviations from the standard quantum statistics close to the Planck scale. These deviations have been extensively investigated for the non-spin part of the
Matthew J. Lake
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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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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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