Results 31 to 40 of about 7,955 (262)
Eigenvibrations of a bar with load
The differential eigenvalue problem describing eigenvibrations of an elastic bar with load is investigated. The problem has an increasing sequence of positive simple eigenvalues with limit point at infinity.
Samsonov Anton A. +2 more
doaj +1 more source
Multi-View Learning With Robust Generalized Eigenvalue Proximal SVM
Multi-view learning mechanism, which enhances learning performance by training multi-model data sets, is a popular filed in recent years. Multi-view generalized eigenvalue proximal support vector machine (MvGSVM), as a most recently proposed classifier ...
Peng Huang +4 more
doaj +1 more source
Generalized Givens Rotations Applied to Complex Joint Eigenvalue Decomposition
This paper shows the different ways of using generalized Givens rotations in complex joint eigenvalue decomposition (JEVD) problem. It presents the different schemes of generalized Givens rotation, justifies the introduced approximations and focuses on ...
Ammar Mesloub
doaj +1 more source
A classification method based on generalized eigenvalue problems [PDF]
Binary classification refers to supervised techniques that split a set of points in two classes, with respect to a training set of points whose membership is known for each class. Binary classification plays a central role in the solution of many scientific, financial, engineering, medical and biological problems.
Mario Rosario Guarracino +3 more
openaire +1 more source
Perturbation thèorems for the generalized eigenvalue problem
AbstractGiven a matrix pair Z = (A, B), the perturbation of its eigenvalues (α, β) is studied. Considering two pairs Z, W as points of the Grassman manifold Gn, 2n and its eigenvalues as points in G1, 2, the projective complex plane, the distance of the spectra, measured in the chordal metric in G1, 2, is bounded by some distance of the matrix pairs in
Elsner, Ludwig, Sun, Ji-Guang
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dynoGP: Deep Gaussian Processes for Dynamic System Identification
This work introduces a novel class of deep models for system identification, dynamical deep Gaussian processes, which combine the strengths of data‐driven methods, such as those based on neural network architectures, with the ability to output a probability distribution for uncertainty representation.
Alessio Benavoli +2 more
wiley +1 more source
Phase Field Failure Modeling: Brittle‐Ductile Dual‐Phase Microstructures under Compressive Loading
The approach by Amor and the approach by Miehe and Zhang for asymmetric damage behavior in the phase field method for fracture are compared regarding their fitness for microcrack‐based failure modeling. The comparison is performed for the case of a dual‐phase microstructure with a brittle and a ductile constituent.
Jakob Huber, Jan Torgersen, Ewald Werner
wiley +1 more source
Generalized Eigenvalue Problems with Generative Priors
Generalized eigenvalue problems (GEPs) find applications in various fields of science and engineering. For example, principal component analysis, Fisher's discriminant analysis, and canonical correlation analysis are specific instances of GEPs and are widely used in statistical data processing.
Zhaoqiang Liu, Wen Li, Junren Chen
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StackingNet: Collective Inference Across Independent AI Foundation Models
ABSTRACT Artificial intelligence (AI) built on large foundation models has transformed language understanding, computer vision, and reasoning, yet these systems remain isolated and cannot readily share their capabilities. Coordinating the complementary strengths of independently developed, black‐box foundation models is essential for trustworthy ...
Siyang Li +4 more
wiley +1 more source
Asymptotic properties of the problem on eigenvibrations of the bar with attached load
The ordinary second-order differential eigenvalue problem describing eigenvibrations of an elastic bar with a load attached to its end was investigated. The problem has an increasing sequence of positive simple eigenvalues with a limit point at infinity.
A.A. Samsonov +2 more
doaj +1 more source

