Publications associées à Adaptive tracking of linear time-variant systems by extended RLS algorithms

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A New Identity for the Least-square Solution of Overdetermined Set of Linear Equations

Afsaneh Asaei, Mohammadjavad Taghizadeh, Saeid Haghighatshoar

In this paper, we prove a new identity for the least-square solution of an over-determined set of linear equation

Ax=b

, where

A

is an

m\times n

full-rank matrix,

b

is a column-vector of dimension

m

, and

m

(the number of equations) is larger tha ...

2015

Adaptive tracking of linear time-variant systems by extended RLS algorithms

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Robust Distributed Learning: Tight Error Bounds and Breakdown Point under Data Heterogeneity

Iterative pre-conditioning for expediting the distributed gradient-descent method: The case of linear least-squares problem

A Least-Squares Method for the Solution of the Non-smooth Prescribed Jacobian Equation

Rapid Scalable Distributed Power Flow with Open-Source Implementation

Frequency-Domain Diffusion Adaptation Over Networks

Rational-based model order reduction of Helmholtz frequency response problems with adaptive finite element snapshots

Parameter Estimation of Three-Phase Untransposed Short Transmission Lines from Synchrophasor Measurements

Basic gestalt laws cannot explain uncrowding

Optimal Rates of Sketched-regularized Algorithms for Least-Squares Regression over Hilbert Spaces

A New Identity for the Least-square Solution of Overdetermined Set of Linear Equations

Frequency-Domain Diffusion Adaptation Over Networks

Parameter Estimation of Three-Phase Untransposed Short Transmission Lines from Synchrophasor Measurements

Iterative pre-conditioning for expediting the distributed gradient-descent method: The case of linear least-squares problem

A Least-Squares Method for the Solution of the Non-smooth Prescribed Jacobian Equation

Rapid Scalable Distributed Power Flow with Open-Source Implementation

Rational-based model order reduction of Helmholtz frequency response problems with adaptive finite element snapshots

Optimal Rates of Sketched-regularized Algorithms for Least-Squares Regression over Hilbert Spaces

A New Identity for the Least-square Solution of Overdetermined Set of Linear Equations

Robust Distributed Learning: Tight Error Bounds and Breakdown Point under Data Heterogeneity

Basic gestalt laws cannot explain uncrowding