Results 51 to 60 of about 7,955 (262)
A Decomposition Algorithm for the Sparse Generalized Eigenvalue Problem [PDF]
2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2019 The sparse generalized eigenvalue problem arises in a number of standard and modern statistical learning models, including sparse principal component analysis, sparse Fisher discriminant analysis, and sparse canonical correlation analysis. However, this problem is difficult to solve since it is NP-hard.
Ganzhao Yuan +2 more
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Advanced Intelligent Discovery, EarlyView.We report a novel interpretation method for deep learning models based on feature extraction and clustering. Applying this method to an atomistic line graph neural network (ALIGNN) model trained on optical absorption spectra of 2,681 inorganic compounds obtained from first‐principles calculations, we successfully identify key factors underlying ...
Akira Takahashi +3 more
wiley +1 more source
Advanced Intelligent Systems, Volume 7, Issue 3, March 2025.Quadrotor unmanned aerial vehicle control is critical to maintain flight safety and efficiency, especially when facing external disturbances and model uncertainties. This article presents a robust reinforcement learning control scheme to deal with these challenges.
Yu Cai +3 more
wiley +1 more source
Numerical enclosure for each eigenvalue in generalized eigenvalue problem
Journal of Computational and Applied Mathematics, 2012 The paper presents an algorithm for enclosing all eigenvalues in the generalized eigenvalue problem \[ Ax=\lambda Bx,\;A,B\in {\mathbb C}^{n\times n},\;\lambda\in{\mathbb C},\;x\in{\mathbb C}^n\tag{1} \] where \(\lambda\) is the eigenvalue and \(x\neq 0\) is an eigenvector corresponding to \(\lambda.\) This algorithm is applicable even if \(A\in ...
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Perturbation behavior of a multiple eigenvalue in generalized Hermitian eigenvalue problems [PDF]
BIT Numerical Mathematics, 2010 The author provides a solution to a question posed by \textit{G. W. Stewart} and \textit{J. Sun} [Matrix perturbation theory. Computer Science and Scientific Computing. Boston etc.: Academic Press, Inc. (1990; Zbl 0706.65013); p. 300] showing that a multiple eigenvalue has different sensitivities under perturbation in a generalized Hermitian eigenvalue
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General masters in parallel condensation of eigenvalue problems [PDF]
Parallel Computing, 1999 In the dynamic analysis of structures using finite element methods very often prohibitively many degrees of freedom are required to model the structure sufficiently accurate. Condensation methods are often used to reduce the number of unknowns to manageable size.
Mackens, Wolfgang, Voß, Heinrich
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Australian Journal of Social Issues, EarlyView.ABSTRACT The rapid increase in older people in prison populations worldwide is generating significant health, cost, and human rights pressures on custodial systems. Compassionate release for older, frail inmates is a potentially effective response, yet little is known about public support for this approach.
Ye In (Jane) Hwang +3 more
wiley +1 more source
Penalized Versus Constrained Generalized Eigenvalue Problems [PDF]
Journal of Computational and Graphical Statistics, 2017 18 pages, 8 ...
Gaynanova, Irina +2 more
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Humans and platyrrhines share a pattern of articular variance
The Anatomical Record, EarlyView.Abstract Previous work has identified a pattern of articular shape variation in modern human limb joints, in which convex joint surfaces exhibit constrained variance relative to their more variable concave conarticulars. This pattern is notable given that joint morphogenesis is influenced by local biomechanical environments, which vary substantially ...
Haley Horbaly, Liam Zachary
wiley +1 more source
MathematicsA generalized eigenvalue formulation is developed for the free vibration analysis of anisotropic rectangular plates with rotationally restrained edges using the finite integral transform method.
Yongming Cai +7 more
doaj +1 more source