Results 11 to 20 of about 54,360 (214)
Buildings, 2022 Inaccurate mass estimates have been recognized as an important source of uncertainty in structural identification, especially for large-scale structures with old ages.
Shiyu Wang, Ying Lei
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On the structure of the fundamental subspaces of acyclic matrices with 0 in the diagonal
The American Journal of Combinatorics, 2023 A matrix is called acyclic if replacing the diagonal entries with \(0\), and the nonzero diagonal entries with \(1\), yields the adjacency matrix of a forest.
Daniel Jaume, Adrian Pastine
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Diagonal Loading Beamforming Based on Aquila Optimizer
IEEE Access, 2023 Traditional beamforming algorithms are only applicable to ideal environments. When the array antenna receives data under circumstances of small snapshots or large signal-to-noise ratio(SNR), noise eigenvalues of classic sample matrix inversion(SMI) and ...
Chao Liu, Jiaqi Zhen
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NISQ algorithm for the matrix elements of a generic observable
SciPost Physics, 2023 The calculation of off-diagonal matrix elements has various applications in fields such as nuclear physics and quantum chemistry. In this paper, we present a noisy intermediate scale quantum algorithm for estimating the diagonal and off-diagonal matrix ...
Rebecca Erbanni, Kishor Bharti, Leong-Chuan Kwek, Dario Poletti
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Latent Multi-View Semi-Nonnegative Matrix Factorization with Block Diagonal Constraint
Axioms, 2022 Multi-view clustering algorithms based on matrix factorization have gained enormous development in recent years. Although these algorithms have gained impressive results, they typically neglect the spatial structures that the latent data representation ...
Lin Yuan +3 more
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Deep Subspace Clustering with Block Diagonal Constraint
Applied Sciences, 2020 The deep subspace clustering method, which adopts deep neural networks to learn a representation matrix for subspace clustering, has shown good performance.
Jing Liu, Yanfeng Sun, Yongli Hu
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Complete/incomplete multi‐view subspace clustering via soft block‐diagonal‐induced regulariser
IET Computer Vision, 2021 This study proposes a novel multi‐view soft block diagonal representation framework for clustering complete and incomplete multi‐view data. First, given that the multi‐view self‐representation model offers better performance in exploring the intrinsic ...
Yongli Hu +5 more
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ALGORITMA POLINOMIAL MINIMUM UNTUK MEMBENTUK MATRIKS DIAGONAL DARI MATRIKS PERSEGI
Aksioma: Jurnal Program Studi Pendidikan Matematika, 2017 In mathematics, matrices have many uses, they are finding solutions of a linear equation system, looking for specific solutions of differential equations, determining state classification on Markov chains, and so on.
Himmatul Mursyidah
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Sparse Matrix Based Low-Complexity, Recursive, and Radix-2 Algorithms for Discrete Sine Transforms
IEEE Access, 2021 This paper presents factorizations of each discrete sine transform (DST) matrix of types I, II, III, and IV into a product of sparse, diagonal, bidiagonal, and scaled orthogonal matrices.
Sirani M. Perera, Levi E. Lingsch
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EURASIP Journal on Advances in Signal Processing, 2020 This paper discusses the fitting of linear state space models to given multivariate time series in the presence of constraints imposed on the four main parameter matrices of these models.
Andreas Galka +2 more
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