Results 81 to 90 of about 32,855 (298)
Contour Integration for Eigenvector Nonlinearities [PDF]
, 2022 Rob Claes, Karl Meerbergen, Simon Telen
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Eigenvectors of Tensors—A Primer [PDF]
Acta Applicandae Mathematicae, 2018 We give an introduction to the theory and to some applications of eigenvectors of tensors (in other words, invariant one-dimensional subspaces of homogeneous polynomial maps), including a review of some concepts that are useful for their discussion. The intent is to give practitioners an overview of fundamental notions, results and techniques.
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Advanced Intelligent Systems, EarlyView.This review explores how shape‐changing structures—origami, bistable, and laminate structures—enable multifunctionality in soft robotics and metamaterials. Starting from structural design, it examines core principles, real‐world applications, and ongoing challenges.
Lingchen Kong, Yaoyao Fiona Zhao
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Characteristically Near Stable Vector Fields in the Polar Complex Plane
Communications in Advanced Mathematical SciencesThis paper introduces results for characteristically proximal vector fields that are stable or non-stable in the polar complex plane $\mathbb{C}$. All characteristic vectors (aka eigenvectors) emanate from the same fixed point in $\mathbb{C}$, namely, 0.
Enze Cui, James F. Peters
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Observations on the Computation of Eigenvalue and Eigenvector Jacobians
Algorithms, 2019 Many scientific and engineering problems benefit from analytic expressions for eigenvalue and eigenvector derivatives with respect to the elements of the parent matrix.
Andrew J. Liounis +2 more
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Advanced Intelligent Systems, EarlyView.This paper presents a degeneracy‐aware light detection and ranging (LiDAR)‐inertial framework that enhances LiDAR simultaneous localization and mapping performance in challenging environments. The proposed system integrates a dual‐layer robust odometry frontend with a Scan‐Context‐based loop‐closure detection backend.
Haoming Yang +4 more
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Fast and backward stable computation of the eigenvalues and eigenvectors of matrix polynomials [PDF]
, 2016 Jared L. Aurentz +4 more
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Eigenvector Continuation with Subspace Learning
Physical Review Letters, 2018 Version to appear in Physical Review Letters, 4 + 6 pages (main + supplemental materials), 1 + 6 figures (main + supplemental materials)
Frame, Dillon +5 more
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Advanced Intelligent Systems, EarlyView.Adaptive multi‐indicator contrastive predictive coding is introduced as a self‐supervised pretraining framework for multivariate EHR time series. An adaptive sliding‐window algorithm and 2D convolutional neural network encoder capture localized temporal patterns and global indicator dependencies, enabling label‐efficient disease prediction that ...
Hongxu Yuan +3 more
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Scientia Agricola, 2008 Some techniques of multivariate statistical analysis can only be conducted on a complete data matrix, but the process of data collection often misses some elements. Imputation is a technique by which the missing elements are replaced by plausible values,
Genevile Carife Bergamo +2 more
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