Results 21 to 30 of about 12,127 (168)
The Moore–Penrose algorithm provides a generalized notion of an inverse, applicable to degenerate matrices. In this paper, we introduce a covariant extension of the Moore–Penrose method that permits to deal with general relativity involving complex non ...
Arthur Garnier, Emmanuele Battista
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Beyond Moore-Penrose: Sparse pseudoinverse [PDF]
Ivan Dokmanić +2 more
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Regression assessment of the model based on the experimental planning matrix in composite materials’ analysis problems [PDF]
An automated coefficients calculation of the regression model based on the experimental data in the form of a planning matrix is considered. The calculations are based on polynomial regression with possible consideration of the interaction effects ...
Balatkhanova Elita +2 more
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Ronald Cramer, Eike Kiltz, Carles Padró
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Computing quaternion matrix pseudoinverse with zeroing neural networks
In recent years, it has become essential to compute the time-varying quaternion (TVQ) matrix Moore-Penrose inverse (MP-inverse or pseudoinverse) to solve time-varying issues in a range of disciplines, including engineering, physics and computer science ...
Vladislav N. Kovalnogov +6 more
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The M-P (Moore–Penrose) pseudoinverse has as a key application the computation of least-squares solutions of inconsistent systems of linear equations. Irrespective of whether a given input matrix is sparse, its M-P pseudoinverse can be dense, potentially
Fampa, Marcia, Lee, Jon, Ponte, Gabriel
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This paper presents modeling and infinite-time suboptimal control of a quadcopter device using the state-dependent Riccati equation (SDRE) method. It establishes a solution to the control problem using SDRE and proposes a new procedure for solving the ...
Sławomir Stępień +1 more
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Approximation of the Nonlinear B-H Curve by Complex Exponential Series
The paper presents an accurate and simple method for the approximation of the nonlinear B-H curves using expansion into complex exponential series. The least-squares fit of the model is obtained by the application of the Moore-Penrose pseudoinverse.
Martin Dadic +2 more
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Frequency Interpolation of LOFAR Embedded Element Patterns Using Spherical Wave Expansion
This paper describes the use of spherical wave expansion (SWE) to model the embedded element patterns of the LOFAR low-band array. The goal is to reduce the amount of data needed to store the embedded element patterns.
M. J. Arts +3 more
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The paper concerns certain pitfalls of using the Moore-Penrose pseudoinverse for estimating regression coefficients in linear regression models when the matrix of explanatory variables has not full column rank.
Anna Pajor
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