Publications associées à Fast Computation Of Spectral Projectors Of Banded Matrices

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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

Fast Computation Of Spectral Projectors Of Banded Matrices

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Learned Compressive Representations for Single-Photon 3D Imaging

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

Harmonic decomposition of the trace of 1D transfer matrices in layered media

Iterative refinement of Schur decompositions

A fast spectral divide-and-conquer method for banded matrices

Construction of optimal spectral methods in phase retrieval

New Results in Integer and Lattice Programming

Method of displaying an image on a see-through display

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

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

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

Learned Compressive Representations for Single-Photon 3D Imaging

Harmonic decomposition of the trace of 1D transfer matrices in layered media

Iterative refinement of Schur decompositions

Construction of optimal spectral methods in phase retrieval

A fast spectral divide-and-conquer method for banded matrices

Method of displaying an image on a see-through display

New Results in Integer and Lattice Programming

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

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