A parametric framework for multidimensional linear measurement error regression
PLoS ONE, 2022 The ordinary linear regression method is limited to bivariate data because it is based on the Cartesian representation y = f(x). Using the chain rule, we transform the method to the parametric representation (x(t), y(t)) and obtain a linear regression ...
Stanley Luck
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Comparative evaluation of strategies for improving the robustness of complex networks
Applied Network Science, 2023 Designing network systems able to sustain functionality after random failures or targeted attacks is a crucial aspect of networks. This paper investigates several strategies of link selection aiming at enhancing the robustness of a network by optimizing ...
Annalisa Socievole, Clara Pizzuti
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Effect of Impeller Trimming on the Energy Efficiency of the Counter-Rotating Pumping Stage
Applied Sciences, 2023 Developing ways to increase centrifugal pumps’ pressure and power characteristics is a critical problem in up-to-date engineering. There are many ways to resolve it, but each has advantages and flaws.
Ivan Pavlenko +5 more
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Boundary Value Problems for Delay Differential Systems
Advances in Difference Equations, 2010 Conditions are derived of the existence of solutions of linear Fredholm's boundary-value problems for systems of ordinary differential equations with constant coefficients and a single delay, assuming that these solutions satisfy the initial and ...
A. Boichuk +3 more
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A Hadamard-type open map theorem for submersions and applications to completeness results in Control Theory [PDF]
, 2015 We prove a quantitative openness theorem for $C^1$ submersions under suitable assumptions on the differential. We then apply our result to a class of exponential maps appearing in Carnot-Carath\'eodory spaces and we improve a classical completeness ...
Bonfiglioli, Andrea +2 more
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A general iterative solver for unbalanced inconsistent transportation problems [PDF]
Archives of Transport, 2016 The transportation problem, as a particular case of a linear programme, has probably the highest relative frequency with which appears in applications. At least in its classical formulation, it involves demands and supplies.
Doina Carp +2 more
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Design and Implementation of a Machine Learning State Estimation Model for Unobservable Microgrids
IEEE Access, 2022 An observable microgrid may become unobservable when sensors are at fault, sensor data is missing, or data has been tampered by malicious agents.
Byron Alejandro Acuna Acurio +4 more
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Kernel and Range Approach to Analytic Network Learning
International Journal of Networked and Distributed Computing (IJNDC), 2018 A novel learning approach for a composite function that can be written in the form of a matrix system of linear equations is introduced in this paper.
Kar-Ann Toh
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Weaker assumptions for convergence of extended block Kaczmarz and Jacobi projection algorithms
Analele Stiintifice ale Universitatii Ovidius Constanta: Seria Matematica, 2017 Recent developments in the field of image reconstruction have given rise to the use of projective iterative methods, such as Kaczmarz and Jacobi, when solving inconsistent linear least squares problems. In this paper we try to generalize previous results
Carp Doina +2 more
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Journal of Applied Mathematics, 2003 A comprehensive treatment of Rayleigh-Schrödinger perturbation theory for the symmetric matrix eigenvalue problem is furnished with emphasis on the degenerate problem. The treatment is simply based upon the Moore-Penrose pseudoinverse thus distinguishing
Brian J. McCartin
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