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The Moore–Penrose Pseudoinverse: A Tutorial Review of the Theory [PDF]

open access: green, 2011
In the last decades the Moore-Penrose pseudoinverse has found a wide range of applications in many areas of Science and became a useful tool for physicists dealing, for instance, with optimization problems, with data analysis, with the solution of linear
J. C. A. Barata, M. S. Hussein
openalex   +4 more sources

Beyond Moore-Penrose Part II: The Sparse Pseudoinverse [PDF]

open access: green, 2017
This is the second part of a two-paper series on generalized inverses that minimize matrix norms. In Part II we focus on generalized inverses that are minimizers of entrywise p norms whose main representative is the sparse pseudoinverse for $p = 1$.
Ivan Dokmanić, Rémi Gribonval
core   +7 more sources

Controlling cantilevered adaptive X-ray mirrors [PDF]

open access: yesJournal of Synchrotron Radiation
Modeling the behavior of a prototype cantilevered X-ray adaptive mirror (held from one end) demonstrates its potential for use on high-performance X-ray beamlines.
Kenneth A. Goldberg, Kyle T. La Fleche
doaj   +2 more sources

Regression assessment of the model based on the experimental planning matrix in composite materials’ analysis problems [PDF]

open access: yesE3S Web of Conferences, 2021
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
doaj   +1 more source

Computing quaternion matrix pseudoinverse with zeroing neural networks

open access: yesAIMS Mathematics, 2023
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
doaj   +1 more source

Trading off 1-norm and sparsity against rank for linear models using mathematical optimization: 1-norm minimizing partially reflexive ah-symmetric generalized inverses

open access: yesOpen Journal of Mathematical Optimization, 2021
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
doaj   +1 more source

Modified Infinite-Time State-Dependent Riccati Equation Method for Nonlinear Affine Systems: Quadrotor Control

open access: yesApplied Sciences, 2021
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
doaj   +1 more source

Approximation of the Nonlinear B-H Curve by Complex Exponential Series

open access: yesIEEE Access, 2020
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
doaj   +1 more source

Frequency Interpolation of LOFAR Embedded Element Patterns Using Spherical Wave Expansion

open access: yesInternational Journal of Antennas and Propagation, 2021
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
doaj   +1 more source

A Note on the UEK Method

open access: yesBarometr Regionalny, 2018
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
doaj   +1 more source

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