Results 81 to 90 of about 49,764 (200)
Nihon Kikai Gakkai ronbunshu, 2015 We propose a Newton-gradient-hybrid optimization method for fluid topology optimization. The method accelerates convergence and reduces computation time. In addition, the fluid-solid boundaries are clearly distinguished.
Kazuo YONEKURA, Yoshihiro KANNO
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Algorithms for Positive Semidefinite Factorization
, 2017 This paper considers the problem of positive semidefinite factorization (PSD factorization), a generalization of exact nonnegative matrix factorization. Given an $m$-by-$n$ nonnegative matrix $X$ and an integer $k$, the PSD factorization problem consists
Gillis, Nicolas +2 more
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Linear Algebra and its Applications, 2009 zbMATH Open Web Interface contents unavailable due to conflicting licenses.
openaire +3 more sources
Some eigenvalue inequalities for positive semidefinite matrix power products
Linear Algebra and its Applications, 1993 The authors study the eigenvalues of positive semidefinite matrix power products and prove some inequalities, which are mostly in terms of majorization. In particular, if \(A,B\geq 0\), \(\beta>\alpha>0\) it is proved that \(\log\lambda^{1/\alpha}(A^ \alpha B^ \alpha)\prec\log\lambda^{1/\beta}(A^ \beta B^ \beta)\).
Wang, Bo-Ying, Gong, Ming-Peng
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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
wiley +1 more source
Fixed-Rank Approximation of a Positive-Semidefinite Matrix from Streaming Data [PDF]
, 2017 Several important applications, such as streaming PCA and semidefinite programming, involve a large-scale positive-semidefinite (psd) matrix that is presented as a sequence of linear updates.
Cevher, Volkan +3 more
core +4 more sources
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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RisksThis paper proposes a nonparametric estimator of the spot volatility matrix with high-frequency data. Our newly proposed Positive Definite Fourier (PDF) estimator produces symmetric positive semi-definite estimates and is consistent with a suitable ...
Jiro Akahori +5 more
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Ethnic Conflicts, Civil War, and Economic Growth: Region‐Level Evidence From Former Yugoslavia
Journal of Regional Science, EarlyView.ABSTRACT This paper studies the long‐term effects of the Yugoslav civil war (1987–1995) on subnational economic growth across 78 regions in five former Yugoslav republics from 1950 to 2015. We construct counterfactual growth trajectories using a robust region‐level donor pool from 32 conflict‐free countries.
Aleksandar Kešeljević +2 more
wiley +1 more source
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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