Publications associées à Stabilizing the Generalized Schur Algorithm

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MATHICSE Technical Report : Quasi-Toeplitz matrix arithmetic : a Matlab toolbox

Stefano Massei

A Quasi Toeplitz (QT) matrix is a semi-infinite matrix of the kind

A = T(a) + E

where

T(a) = (aj-i)_{i,j\in \mathbb{Z}_{+}}

E = (e_{i,j})_{i,j\in\mathbb{Z}_{+}}

is compact and the norms

\| a\|_{\mathcal{W}} =\sum_{i\in\mathbb{Z}} |a|_j

and $|E|_{ ...

MATHICSE2018

Stabilizing the Generalized Schur Algorithm

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Chattez avec Graph Search

The S-matrix bootstrap. Part III: higher dimensional amplitudes

MATHICSE Technical Report : Low-rank updates and divide-andconquer methods for quadratic matrix equations

Multi-panel, on-single-chip Memristive Biosensing

Context-Tree Recommendation vs Matrix-Factorization: Algorithm Selection and Live Users Evaluation

Fast hierarchical solvers for symmetric eigenvalue problems

MATHICSE Technical Report : Quasi-Toeplitz matrix arithmetic : a Matlab toolbox

Accelerated Stochastic Matrix Inversion: General Theory and Speeding up BFGS Rules for Faster Second-Order Optimization

Accelerated Stochastic Matrix Inversion: General Theory and Speeding up BFGS Rules for Faster Second-Order Optimization

Unlabeled Sensing with Random Linear Measurements

A Householder-Based Algorithm For Hessenberg-Triangular Reduction

The S-matrix bootstrap. Part III: higher dimensional amplitudes

MATHICSE Technical Report : Low-rank updates and divide-andconquer methods for quadratic matrix equations

Accelerated Stochastic Matrix Inversion: General Theory and Speeding up BFGS Rules for Faster Second-Order Optimization

Multi-panel, on-single-chip Memristive Biosensing

A Householder-Based Algorithm For Hessenberg-Triangular Reduction

Unlabeled Sensing with Random Linear Measurements

Context-Tree Recommendation vs Matrix-Factorization: Algorithm Selection and Live Users Evaluation

MATHICSE Technical Report : Quasi-Toeplitz matrix arithmetic : a Matlab toolbox

Fast hierarchical solvers for symmetric eigenvalue problems

Accelerated Stochastic Matrix Inversion: General Theory and Speeding up BFGS Rules for Faster Second-Order Optimization