Results 101 to 110 of about 71,699 (272)
Bundle-based similarity measurement for positive semidefinite matrices [PDF]
, 2023 Peng Liu, Ke Ye
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The role of identification in data‐driven policy iteration: A system theoretic study
International Journal of Robust and Nonlinear Control, EarlyView.Abstract The goal of this article is to study fundamental mechanisms behind so‐called indirect and direct data‐driven control for unknown systems. Specifically, we consider policy iteration applied to the linear quadratic regulator problem. Two iterative procedures, where data collected from the system are repeatedly used to compute new estimates of ...
Bowen Song, Andrea Iannelli
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The generating function of the polytope of transport matrices $U(r,c)$ as a positive semidefinite kernel of the marginals $r$ and $c$ [PDF]
, 2006 Marco Cuturi
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Ergodicity of affine processes on the cone of symmetric positive\n semidefinite matrices [PDF]
, 2019 Martin Friesen +3 more
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Extremal positive semidefinite doubly stochastic matrices
Linear Algebra and its Applications, 1991 This paper continues the investigation initiated by \textit{J. P. R. Christensen} and \textit{P. Fischer} [ibid. 82, 123-132 (1986; Zbl 0599.15011)] on the extreme points of \(K_ n=H_ n\cap \Omega_ n\), the intersection set of the closed convex cone \(H_ n\) of all real \(n\times n\) symmetric positive semidefinite matrices and the compact convex set \(
Grone, Bob, Pierce, Steve
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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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Rank inequalities for positive semidefinite matrices
Linear Algebra and its Applications, 1996 Several inequalities relating the rank of a positive semidefinite matrix with the ranks of various principal submatrices are presented. These inequalities are analogous to known determinantal inequalities for positive definite matrices, such as Fischer's inequality, Koteljanskii's inequality, and extensions of these associated with chordal graphs.
Lundquist, Michael, Barrett, Wayne
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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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Moore-Penrose inverse of a hollow symmetric matrix and a predistance matrix
Special Matrices, 2016 By a hollow symmetric matrix we mean a symmetric matrix with zero diagonal elements. The notion contains those of predistance matrix and Euclidean distance matrix as its special cases.
Kurata Hiroshi, Bapat Ravindra B.
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Positive Semidefinite Metric Learning with Boosting
, 2009 The learning of appropriate distance metrics is a critical problem in image classification and retrieval. In this work, we propose a boosting-based technique, termed \BoostMetric, for learning a Mahalanobis distance metric.
Hengel, Anton van den +3 more
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