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Passive systems failure probability estimation by the meta-AK-IS2 algorithm
Nuclear Engineering and Design, 2014Simplicity of design and independence from external inputs make passive safety systems very attractive both from the economical and safety points of view, for the development of future nuclear reactor concepts. On the other hand, concerns arise due to the not fully understood physical phenomena underlying their (passive) functioning and the scarce ...
CADINI, FRANCESCO +2 more
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Journal of Mechanical Design, 2022
Abstract Sampling methods are powerful tools for structural reliability analysis with complex failure domains due to their stability and accuracy. One of the most frequently used sampling methods is the importance sampling (IS) method, which can markedly reduce the sampling variance and computational costs.
Gang Li, Long Jiang, Bin Lu, Wanxin He
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Abstract Sampling methods are powerful tools for structural reliability analysis with complex failure domains due to their stability and accuracy. One of the most frequently used sampling methods is the importance sampling (IS) method, which can markedly reduce the sampling variance and computational costs.
Gang Li, Long Jiang, Bin Lu, Wanxin He
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aK-Mode: New algorithm to cluster OLAP requirement schemas
2013 International Conference on Control, Decision and Information Technologies (CoDIT), 2013Different methods are proposed to generate the schema of data mart. We propose a new one that starts by clustering the OLAP requirements that are represented as schemas, then, it generates the schemas of the data mart one for each cluster, and finally it validates them.
Nouha Arfaoui, Jalel Akaichi
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An AK-BRP dictionary learning algorithm for video frame sparse representation in compressed sensing
Multimedia Tools and Applications, 2016Sparsifying transform is an important prerequisite in compressed sensing. And it is practically significant to research the fast and efficient signal sparse representation methods. In this paper, we propose an adaptive K-BRP (AK-BRP) dictionary learning algorithm.
Yang Qian +3 more
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AnO(k 2n2) algorithm to find ak-partition in ak-connected graph
Journal of Computer Science and Technology, 1994zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Jun Ma 0001, Shaohan Ma
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Improved Performance of CDL Algorithm Using DDELM-AE and AK-SVD
2019Due to the poor robustness and high complexity of the concentrated dictionary learning (CDL) algorithm, this paper addresses these issues using denoising deep extreme learning machine based on autoencoder (DDELM-AE) and approximate k singular value decomposition (AK-SVD).
Xiulan Yu +3 more
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A Linear Time Algorithm for Finding ak-Tree Core
Journal of Algorithms, 1997Summary: Given a tree containing \(n\) vertices, consider the sum of the distance between all vertices and a \(k\)-leaf subtree (subtree which contains exactly \(k\) leaves). A \(k\)-tree core is a \(k\)-leaf subtree which minimizes the sum of the distances. In this paper, we propose a linear time algorithm for finding a \(k\)-tree core for a given \(k\
Akiyoshi Shioura, Takeaki Uno
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A linear-time algorithm for finding a sparsek-connected spanning subgraph of ak-connected graph
Algorithmica, 1992The authors present a linear-time algorithm for finding a sparse \(k\)- connected spanning subgraph for a given \(k\)-connected undirected graph. This is used to improve the time complexities of other graph connectivity problems.
Hiroshi Nagamochi, Toshihide Ibaraki
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Computer Methods in Applied Mechanics and Engineering
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Wei Zhang +4 more
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zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Wei Zhang +4 more
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