Publications associées à Overdetermined system

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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

Overdetermined system

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On Preconditioning of Decentralized Gradient-Descent When Solving a System of Linear Equations

The very knotty lenser: Exploring the role of regularization in source and potential reconstructions using Gaussian process regression

Accuracy Assessment of Nonlinear Seismic Displacement Demand Predicted by Simplified Methods for the Plateau Range of Design Response Spectra

Procedure for predicting part load resonance in Francis turbine hydropower units based on swirl number and local cavitation coefficient similitude

‪Stochastic Control-A Moment Approach to Sparse Control Design‬

Reduced Basis Methods: From Low-Rank Matrices To Low-Rank Tensors

MATHICSE Technical Report: Reduced basis methods: from low-rank matrices to low-rank tensor

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

Robust Performance Analysis of Single Parameter-dependent Systems with Polynomially Parameter-dependent Lyapunov Matrices

On Preconditioning of Decentralized Gradient-Descent When Solving a System of Linear Equations

The very knotty lenser: Exploring the role of regularization in source and potential reconstructions using Gaussian process regression

Robust Performance Analysis of Single Parameter-dependent Systems with Polynomially Parameter-dependent Lyapunov Matrices

Accuracy Assessment of Nonlinear Seismic Displacement Demand Predicted by Simplified Methods for the Plateau Range of Design Response Spectra

Procedure for predicting part load resonance in Francis turbine hydropower units based on swirl number and local cavitation coefficient similitude

Reduced Basis Methods: From Low-Rank Matrices To Low-Rank Tensors

‪Stochastic Control-A Moment Approach to Sparse Control Design‬

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: Reduced basis methods: from low-rank matrices to low-rank tensor