Publications associées à Least-Squares Minimization Under Constraints

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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

Least-Squares Minimization Under Constraints

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Convergences of Regularized Algorithms and Stochastic Gradient Methods with Random Projections

On raw inertial measurements in dynamic networks

Basic gestalt laws cannot explain uncrowding

A Least-Squares/Relaxation Method for the Numerical Solution of the Three-Dimensional Elliptic Monge-Ampere Equation

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

Case Study of Data Assimilation Methods with the LWR-Proteus Phase II Experimental Campaign

ALS Scheme using Extent-based Constraints for the Analysis of Chemical Reaction Systems

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

A Least-Squares/Relaxation Method for the Numerical Solution of the Three-Dimensional Elliptic Monge-Ampere Equation

Convergences of Regularized Algorithms and Stochastic Gradient Methods with Random Projections

On raw inertial measurements in dynamic networks

Case Study of Data Assimilation Methods with the LWR-Proteus Phase II Experimental Campaign

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

ALS Scheme using Extent-based Constraints for the Analysis of Chemical Reaction Systems

Basic gestalt laws cannot explain uncrowding

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

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