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Subspace Recycling--Based Regularization Methods [PDF]

open access: yesSIAM Journal on Matrix Analysis and Applications, 2021
Subspace recycling techniques have been used quite successfully for the acceleration of iterative methods for solving large-scale linear systems. These methods often work by augmenting a solution subspace generated iteratively by a known algorithm with a fixed subspace of vectors which are ``useful'' for solving the problem.
Ramlau, Ronny   +2 more
openaire   +2 more sources

Optimizing Tree-Based Contrast Subspace Mining Using Genetic Algorithm

open access: yesInternational Journal of Computational Intelligence Systems, 2022
Mining contrast subspace is a task of finding contrast subspace where a given query object is most similar to a target class but dissimilar to non-target class in a multidimensional data set.
Florence Sia, Rayner Alfred
doaj   +1 more source

Efficient Malware Analysis Using Subspace-Based Methods on Representative Image Patterns

open access: yesIEEE Access, 2023
In this paper, we propose a new framework for classifying and visualizing malware files using subspace-based methods. The rise of advanced malware poses a significant threat to internet security, increasing the pressure on traditional cybersecurity ...
Djafer Yahia M Benchadi   +2 more
doaj   +1 more source

Teleseismic Tomography for Imaging the Upper Mantle Beneath Northeast China

open access: yesApplied Sciences, 2020
Tomographic imaging technology is a geophysical inversion method. According to the ray scanning, this method carries on the inversion calculation to the obtained information, and reconstructs the image of the parameter distribution rule of elastic wave ...
Zhuo Jia, Gongbo Zhang
doaj   +1 more source

Imaging of the Upper Mantle Beneath Southeast Asia: Constrained by Teleseismic P-Wave Tomography

open access: yesRemote Sensing, 2020
It is of great significance to construct a three-dimensional underground velocity model for the study of geodynamics and tectonic evolution. Southeast Asia has attracted much attention due to its complex structural features.
Huiyan Shi   +4 more
doaj   +1 more source

Parameter Identification of Bladed Assemblies Using a Subspace Method [PDF]

open access: yesInternational Journal for Simulation and Multidisciplinary Design Optimization, 2008
This paper is aimed at identifying a dynamical model for bladed assemblies such as turbines. Unknown excitation forces are applied to bladed disk assemblies leading to forced vibration responses.
Salhi Bendali   +2 more
doaj   +1 more source

An efficient eigenmode restoration and mode matching method for multi‐junctional inhomogeneous waveguiding structures based on the Krylov subspace method

open access: yesIET Microwaves, Antennas & Propagation, 2021
Mode matching is a widely used method in various electromagnetic problems due to its dimensional advantages. However, the numerical implementation of mode matching is challenged by its high computational complexity in solving eigenvalue problems.
Jia Liu   +4 more
doaj   +1 more source

Modelling behaviour of bridge pylon for test load using subspace method [PDF]

open access: yesGeodetski Vestnik, 2015
This paper presents the procedure of structure behaviour analysis and modelling applying the subspace method, which has been used in system identification but not in geodetic practice.
Branko Milovanović   +3 more
doaj   +1 more source

Fusing Local and Global Information for One-Step Multi-View Subspace Clustering

open access: yesApplied Sciences, 2022
Multi-view subspace clustering has drawn significant attention in the pattern recognition and machine learning research community. However, most of the existing multi-view subspace clustering methods are still limited in two aspects.
Yiqiang Duan   +3 more
doaj   +1 more source

Subspace Methods for Nonlinear Optimization

open access: yesCSIAM Transactions on Applied Mathematics, 2021
Summary: Subspace techniques such as Krylov subspace methods have been well known and extensively used in numerical linear algebra. They are also ubiquitous and becoming indispensable tools in nonlinear optimization due to their ability to handle large scale problems. There are generally two types of principals: i) the decision variable is updated in a
Liu, Xin, Wen, Zaiwen, Yuan, Ya-Xiang
openaire   +3 more sources

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