Results 61 to 70 of about 1,994 (184)
Singular Value and Matrix Norm Inequalities between Positive Semidefinite Matrices and Their Blocks
Journal of MathematicsIn this paper, we obtain some inequalities involving positive semidefinite 2×2 block matrices and their blocks.
Feng Zhang +3 more
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The Jordan cononical form of a product of a Hermitian and a positive semidefinite matrix
Linear Algebra and its Applications, 1991 The authors characterize matrices C which are the product AB of a positive semidefinite matrix A and a Hermitian matrix B, by the fact that \(C^ 2\) is diagonalizable and has nonnegative eigenvalues. They give applications of this result.
Hong, Yoopyo, Horn, Roger A.
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Positive semidefinite solution to matrix completion problem and matrix approximation problem
Filomat, 2022 In this paper, firstly, we discuss the following matrix completion problem in the spectral norm: ?(A B B* X)?2 < 1 subject to (A B B* X) ? 0. The feasible condition for the above problem is established, in this case, the general positive semidefinite solution and its minimum rank are presented.
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Graph‐Laplacian modeling of spatiotemporal effects for house price estimation
Real Estate Economics, EarlyView.Abstract Many variables involve the modeling of spatial effects, and their dynamics over time. This article presents a linear model in which spatiotemporal random effects are modeled by graph‐Laplacians. A graph‐Laplacian flexibly encodes adjacency in both space and time, in our case not depending on unknown parameters. The graph‐Laplacian can be input
Willem P Sijp, Marc K. Francke
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American Journal of Agricultural Economics, EarlyView.Abstract Alcohol policy liberalization is a contentious issue in the United States, including debates over whether grocery stores should be allowed to sell wine. This issue reflects a dilemma between accommodating consumer convenience, promoting wine industry growth, and generating tax revenue, versus concerns about potential harm to liquor stores ...
Jiayu Sun +3 more
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Trace inequalities for positive semidefinite matrices
Discussiones Mathematicae - General Algebra and Applications, 2017 Certain trace inequalities for positive definite matrices are generalized for positive semidefinite matrices using the notion of the group generalized inverse.
Choudhury Projesh Nath, Sivakumar K.C.
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Operational Choices for Risk Aggregation in Insurance: PSDization and SCR Sensitivity
Risks, 2018 This work addresses crucial questions about the robustness of the PSDization process for applications in insurance. PSDization refers to the process that forces a matrix to become positive semidefinite.
Xavier Milhaud +2 more
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Computing Skinning Weights via Convex Duality
Computer Graphics Forum, EarlyView.We present an alternate optimization method to compute bounded biharmonic skinning weights. Our method relies on a dual formulation, which can be optimized with a nonnegative linear least squares setup. Abstract We study the problem of optimising for skinning weights through the lens of convex duality.
J. Solomon, O. Stein
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Data dissemination scheduling algorithm for V2R/V2V in multi-channel VANET
Tongxin xuebao, 2019 Considering that the data dissemination in multi-channel VANET (vehicular ad hoc network),a cooperative data dissemination scheduling algorithm was introduced for V2R(vehicle to roadside unit) and V2V(vehicle to vehicle).The algorithm created initial ...
Xin PENG +5 more
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Structural Results on the HMLasso
AxiomsHMLasso (Lasso with High Missing Rate) is a useful technique for sparse regression when a high-dimensional design matrix contains a large number of missing data. To solve HMLasso, an appropriate positive semidefinite symmetric matrix must be obtained. In
Shin-ya Matsushita, Hiromu Sasaki
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