Results 21 to 30 of about 9,658 (265)
Green Matrices, Minors and Hadamard Products
Green matrices are interpreted as discrete version of Green functions and are used when working with inhomogeneous linear system of differential equations.
Jorge Delgado +2 more
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On the Total Positivity and Accurate Computations of r-Bell Polynomial Bases
A new class of matrices defined in terms of r-Stirling numbers is introduced. These r-Stirling matrices are totally positive and determine the linear transformation between monomial and r-Bell polynomial bases.
Esmeralda Mainar +2 more
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Background Identifying drug–target interactions (DTIs) plays a key role in drug development. Traditional wet experiments to identify DTIs are costly and time consuming. Effective computational methods to predict DTIs are useful to speed up the process of
Junjun Zhang, Minzhu Xie
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Factorization of matrices into partial isometries [PDF]
In this paper, we characterize complex square matrices which are expressible as products of partial isometries and orthogonal projections. More precisely, we show that a matrix T T
Kuo, Kunghwang, Wu, Peiyuan
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On the Efficient Reconstruction of Displacements in FETI Methods for Contact Problems
The final step in the solution of contact problems of elasticity by FETI-based domain decomposition methods is the reconstruction of displacements corresponding to the Lagrange multipliers for ''gluing'' of subdomains and non-penetration conditions.
David Horak, Zdenek Dostal, Radim Sojka
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Exact Determinants of Some Special Circulant Matrices Involving Four Kinds of Famous Numbers
Circulant matrix family is used for modeling many problems arising in solving various differential equations. The RSFPLR circulant matrices and RSLPFL circulant matrices are two special circulant matrices.
Xiaoyu Jiang, Kicheon Hong
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Circulant matrices may play a crucial role in solving various differential equations. In this paper, the techniques used herein are based on the inverse factorization of polynomial.
Tingting Xu, Zhaolin Jiang, Ziwu Jiang
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Novel Algorithms Based on Majorization Minimization for Nonnegative Matrix Factorization
Matrix decomposition is ubiquitous and has applications in various fields like speech processing, data mining and image processing to name a few. Under matrix decomposition, nonnegative matrix factorization is used to decompose a nonnegative matrix into ...
R. Jyothi, Prabhu Babu, Rajendar Bahl
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Using Dynamic Multi-Task Non-Negative Matrix Factorization to Detect the Evolution of User Preferences in Collaborative Filtering. [PDF]
Predicting what items will be selected by a target user in the future is an important function for recommendation systems. Matrix factorization techniques have been shown to achieve good performance on temporal rating-type data, but little is known about
Bin Ju +4 more
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Pentadiagonal Companion Matrices
The class of sparse companion matrices was recently characterized in terms of unit Hessenberg matrices. We determine which sparse companion matrices have the lowest bandwidth, that is, we characterize which sparse companion matrices are permutationally ...
Eastman Brydon, Vander Meulen Kevin N.
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