Publications associées à Smoothing Alternating Direction Methods for Fully Nonsmooth Constrained Convex Optimization

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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

Smoothing Alternating Direction Methods for Fully Nonsmooth Constrained Convex Optimization

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A Single-Phase, Proximal Path-Following Framework

A single-phase, proximal path-following framework

Robust Discriminative Clustering with Sparse Regularizers

On solving LPN using BKW and variants Implementation and Analysis

A Universal Primal-Dual Convex Optimization Framework

Capacity and Data Complexity in Multidimensional Linear Attack

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

Capacity and Data Complexity in Multidimensional Linear Attack

Robust Discriminative Clustering with Sparse Regularizers

On solving LPN using BKW and variants Implementation and Analysis

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

A Universal Primal-Dual Convex Optimization Framework

A single-phase, proximal path-following framework

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

MATHICSE Technical Report : 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 Single-Phase, Proximal Path-Following Framework