Publications associées à Stability of the LMS adaptive filter by means of a state equation

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New Results in Integer and Lattice Programming

Christoph Hunkenschröder

An integer program (IP) is a problem of the form

\min \{f(x) : \, Ax = b, \ l \leq x \leq u, \ x \in \Z^n\}

, where

A \in \Z^{m \times n}

b \in \Z^m

l,u \in \Z^n

, and

f: \Z^n \rightarrow \Z

is a separable convex objective function. The problem o ...

EPFL2020

Stability of the LMS adaptive filter by means of a state equation

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Chattez avec Graph Search

Randomized low-rank approximation and its applications

SPEEDING UP KRYLOV SUBSPACE METHODS FOR COMPUTING f(A)b VIA RANDOMIZATION

DIVIDE-AND-CONQUER METHODS FOR FUNCTIONS OF MATRICES WITH BANDED OR HIERARCHICAL LOW-RANK STRUCTURE\ast

Mega Event Reinforced Industrial Heritage Transformation: A typological matrix between narratives and practices

Efficient Learning of a Linear Dynamical System with Stability Guarantees

New Results in Integer and Lattice Programming

Learning Temporary Block-Based Bidirectional Incongruity-Aware Correlation Filters for Efficient UAV Object Tracking

Compress-and-restart block Krylov subspace methods for Sylvester matrix equations

MATHICSE Technical Report: Stability properties of a projector-splitting scheme for the dynamical low rank approximation of random parabolic equations

Low-Rank Updates And A Divide-And-Conquer Method For Linear Matrix Equations

SPEEDING UP KRYLOV SUBSPACE METHODS FOR COMPUTING f(A)b VIA RANDOMIZATION

Mega Event Reinforced Industrial Heritage Transformation: A typological matrix between narratives and practices

Learning Temporary Block-Based Bidirectional Incongruity-Aware Correlation Filters for Efficient UAV Object Tracking

MATHICSE Technical Report: Stability properties of a projector-splitting scheme for the dynamical low rank approximation of random parabolic equations

DIVIDE-AND-CONQUER METHODS FOR FUNCTIONS OF MATRICES WITH BANDED OR HIERARCHICAL LOW-RANK STRUCTURE\ast

Efficient Learning of a Linear Dynamical System with Stability Guarantees

Low-Rank Updates And A Divide-And-Conquer Method For Linear Matrix Equations

New Results in Integer and Lattice Programming

Compress-and-restart block Krylov subspace methods for Sylvester matrix equations

Randomized low-rank approximation and its applications