Publications associées à Unlocking crowding by ensemble statistics

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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

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 ...

Idiap2015

Unlocking crowding by ensemble statistics

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Chattez avec Graph Search

Discrete least squares polynomial approximation with random evaluations − application to parametric and stochastic elliptic PDEs

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

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

MATHICSE Technical Report : Discrete least squares polynomial approximation with random evaluations – application to parametric and stochastic elliptic PDES

The Squares of Montchoisy. Notes for a History of the Open Form in Geneva

Randomized Extended Kaczmarz For Solving Least Squares

When crowding of crowding leads to uncrowding

Diffusion Bias-Compensated RLS Estimation Over Adaptive Networks

Least-Squares Minimization Under Constraints

Generalized linear prediction method in phase-shifting interferometry in the presence of noise

Discrete least squares polynomial approximation with random evaluations − application to parametric and stochastic elliptic PDEs

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

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

Diffusion Bias-Compensated RLS Estimation Over Adaptive Networks

The Squares of Montchoisy. Notes for a History of the Open Form in Geneva

Randomized Extended Kaczmarz For Solving Least Squares

MATHICSE Technical Report : Discrete least squares polynomial approximation with random evaluations – application to parametric and stochastic elliptic PDES

When crowding of crowding leads to uncrowding

Least-Squares Minimization Under Constraints

Generalized linear prediction method in phase-shifting interferometry in the presence of noise