Publications associées à Noncontacting benchtop measurements of the elastic properties of shales

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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

Noncontacting benchtop measurements of the elastic properties of shales

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Convergences of Regularized Algorithms and Stochastic Gradient Methods with Random Projections

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

Optimal Rates for Spectral Algorithms with Least-Squares Regression over Hilbert Spaces

Reconstruction of 3D scattered data via radial basis functions by efficient and robust techniques

Harder, Better, Faster, Stronger Convergence Rates for Least-Squares Regression

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

From averaging to acceleration, there is only a step-size

Méthodes de production par ultrasons, de la théorie à l'application industrielle

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

Reconstruction of 3D scattered data via radial basis functions by efficient and robust techniques

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

Optimal Rates for Spectral Algorithms with Least-Squares Regression over Hilbert Spaces

Convergences of Regularized Algorithms and Stochastic Gradient Methods with Random Projections

From averaging to acceleration, there is only a step-size

Méthodes de production par ultrasons, de la théorie à l'application industrielle

Harder, Better, Faster, Stronger Convergence Rates for Least-Squares Regression

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