The Use of the Moore-Penrose Pseudoinverse for Evaluating the RGA of Non-Square Systems [PDF]
Rafal Qasim Al Yousuf, Jeffrey Uhlmann
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What is a proper graph Laplacian? An operator-theoretic framework for graph diffusion
We introduce an operator-theoretic definition of a proper graph Laplacian as any matrix associated with a given graph that can be expressed as the composition of a divergence and a gradient operator, with the gradient acting between graph-related spaces ...
Estrada Ernesto
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In this study, a Gaussian process model is utilized to study the Fredholm integral equations of the first kind (FIEFKs). Based on the H–Hk formulation, two cases of FIEFKs are under consideration with respect to the right-hand term: discrete data and ...
Renjun Qiu, Juanjuan Xu, Ming Xu
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Finding influential nodes in networks using pinning control: Centrality measures confirmed with electrochemical oscillators. [PDF]
Bomela W +5 more
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This paper develops the linear-algebraic foundations of the Convex Least Squares Programming (CLSP) estimator and constructs its modular two-step convex optimization framework, capable of addressing ill-posed and underdetermined problems.
Ilya Bolotov
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On Moore‐Penrose Pseudoinverse Computation for Stiffness Matrices Resulting from Higher Order Approximation [PDF]
Marek Klimczak, Witold Cecot
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Modifying the Time-Convolutionless Master Equation via the Moore-Penrose Pseudoinverse [PDF]
Blumenfeld, Caleb
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Sparse pseudoinverses via LP and SDP relaxations of Moore-Penrose [PDF]
Victor K. Fuentes, Marcia Fampa, Jon Lee
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Characterization of Matrices Satisfying the Reverse Order Law for the Moore-Penrose Pseudoinverse [PDF]
Oskar Kędzierski
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Harmonic Noise-Tolerant ZNN for Dynamic Matrix Pseudoinversion and Its Application to Robot Manipulator. [PDF]
Liao B, Wang Y, Li J, Guo D, He Y.
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