Publications associées à Higher-dimensional gamma matrices

On maximum volume submatrices and cross approximation for symmetric semidefinite and diagonally dominant matrices

Daniel Kressner, Stefano Massei, Alice Cortinovis

The problem of finding a k x k submatrix of maximum volume of a matrix A is of interest in a variety of applications. For example, it yields a quasi-best low-rank approximation constructed from the rows and columns of A. We show that such a submatrix can a ...

ELSEVIER SCIENCE INC2020

Evaporation of Metals during the Thermal Treatment of Oxide Nanomaterials in Cellulose-Based Matrices

Christian Ludwig, Mohamed Tarik

Like conventional material products, waste is the last stage of the life cycle of engineered nanomaterials, which are then incinerated or stabilized before disposal. However, because of their special physical characteristics, the fate of the thermally trea ...

2020

hm-toolbox: MATLAB SOFTWARE FOR HODLR AND HSS MATRICES

Daniel Kressner, Stefano Massei

Matrices with hierarchical low-rank structure, including HODLR and HSS matrices, constitute a versatile tool to develop fast algorithms for addressing large-scale problems. While existing software packages for such matrices often focus on linear systems, t ...

SIAM PUBLICATIONS2020

Global eigenvalue distribution of matrices defined by the skew-shift

Marius Christopher Lemm

We consider large Hermitian matrices whose entries are defined by evaluating the exponential function along orbits of the skew-shift

\binom{j}{2} \omega+jy+x \mod 1

for irrational

\omega

. We prove that the eigenvalue distribution of these matrices conv ...

2019

MATHICSE Technical Report : On maximum volume submatrices and cross approximation for symmetric semidefinite and diagonally dominant matrices

Daniel Kressner, Stefano Massei, Alice Cortinovis

The problem of finding a

k\times k

submatrix of maximum volume of a matrix A is of interest in a variety of applications. For example, it yields a quasi-best low-rank approximation constructed from the rows and columns of A. We show that such a submatrix ...

MATHICSE2019

hm-toolbox: Matlab software for HODLR and HSS matrices

Daniel Kressner, Stefano Massei

Matrices with hierarchical low-rank structure, including HODLR and HSS matrices, constitute a versatile tool to develop fast algorithms for addressing large-scale problems. While existing software packages for such matrices often focus on linear systems, t ...

2019

Faster Algorithms for Integer Programs with Block Structure

Friedrich Eisenbrand, Kim-Manuel Klein, Christoph Hunkenschröder

We consider integer programming problems max {c^Tx : A x = b, l

Schloss Dagstuhl--Leibniz-Zentrum fuer Informatik2018

Immuno-affinity Amperometric Detection of Bacterial Infections

Hubert Girault, Horst Pick, Andreas Stephan Lesch, Michel Prudent, Milica Jovic, Yingdi Zhu

A combination of an immuno-affinity enrichment strategy and sensitive amperometric read-out was implemented in a point-of-care platform intended for bacterial infection analysis. Bacterial cells, selectively captured and enriched from complex matrices thro ...

WILEY-V C H VERLAG GMBH2018

Converse Bounds for Noisy Group Testing with Arbitrary Measurement Matrices

Volkan Cevher, Jonathan Mark Scarlett

We consider the group testing problem, in which one seeks to identify a subset of defective items within a larger set of items based on a number of noisy tests. While matching achievability and converse bounds are known in several cases of interest for i.i ...

Ieee2016

A block algorithm for computing antitriangular factorizations of symmetric matrices

Daniel Kressner, Zvonimir Bujanovic

Any symmetric matrix can be reduced to antitriangular form in finitely many steps by orthogonal similarity transformations. This form reveals the inertia of the matrix and has found applications in, e.g., model predictive control and constraint preconditio ...

Springer2016

Higher-dimensional gamma matrices

Graph Chatbot

Chattez avec Graph Search

On maximum volume submatrices and cross approximation for symmetric semidefinite and diagonally dominant matrices

Evaporation of Metals during the Thermal Treatment of Oxide Nanomaterials in Cellulose-Based Matrices

hm-toolbox: MATLAB SOFTWARE FOR HODLR AND HSS MATRICES

Global eigenvalue distribution of matrices defined by the skew-shift

MATHICSE Technical Report : On maximum volume submatrices and cross approximation for symmetric semidefinite and diagonally dominant matrices

hm-toolbox: Matlab software for HODLR and HSS matrices

Faster Algorithms for Integer Programs with Block Structure

Immuno-affinity Amperometric Detection of Bacterial Infections

Converse Bounds for Noisy Group Testing with Arbitrary Measurement Matrices

A block algorithm for computing antitriangular factorizations of symmetric matrices

Evaporation of Metals during the Thermal Treatment of Oxide Nanomaterials in Cellulose-Based Matrices

Immuno-affinity Amperometric Detection of Bacterial Infections

Converse Bounds for Noisy Group Testing with Arbitrary Measurement Matrices

Faster Algorithms for Integer Programs with Block Structure

On maximum volume submatrices and cross approximation for symmetric semidefinite and diagonally dominant matrices

hm-toolbox: MATLAB SOFTWARE FOR HODLR AND HSS MATRICES

hm-toolbox: Matlab software for HODLR and HSS matrices

A block algorithm for computing antitriangular factorizations of symmetric matrices

Global eigenvalue distribution of matrices defined by the skew-shift

MATHICSE Technical Report : On maximum volume submatrices and cross approximation for symmetric semidefinite and diagonally dominant matrices