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

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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 ...

Idiap2015

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

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

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Smoothing Alternating Direction Methods for Fully Nonsmooth Constrained Convex Optimization

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

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

A Functional Framework for Enhanced Ultrasound Imaging

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

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

Bifurcation at isolated singular points for a degenerate elliptic eigenvalue problem

Smoothing Alternating Direction Methods for Fully Nonsmooth Constrained Convex Optimization

A Functional Framework for Enhanced Ultrasound Imaging

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

Bifurcation at isolated singular points for a degenerate elliptic eigenvalue problem

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

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

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