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

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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

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

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Chattez avec Graph Search

On the fast assemblage of finite element matrices with application to nonlinear heat transfer problems

Iterative refinement of Schur decompositions

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

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

New Results in Integer and Lattice Programming

Matrix recovery from bilinear and quadratic measurements

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

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On the fast assemblage of finite element matrices with application to nonlinear heat transfer problems

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

On quadratic matrix equations with infinite size coefficients encountered in QBD stochastic processes

New Results in Integer and Lattice Programming

Iterative refinement of Schur decompositions

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

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

Matrix recovery from bilinear and quadratic measurements

MATHICSE Technical Report : Fast solvers for 2D fractional differential equations using rank structured matrices