output
20142023
most citedEfficient Solution of Large-Scale Algebraic Riccati Equations Associated with Index-2 DAEs via the Inexact Low-Rank Newton-ADI Method

14 citations

researchers with a paper here

Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.

collaborating institutions

5 papers

physics.flu-dyn2023★ 2 cited

Improving CFD simulations by local machine-learned correction

Peetak Mitra, Majid Haghshenas, Niccolo Dal Santo +2

High-fidelity computational fluid dynamics (CFD) simulations for design space explorations can be exceedingly expensive due to the cost associated with resolving the finer scales.…

eess.SY2020

Tuning an H-Infinity Controller with a Given Order and a Structure for Interconnected Systems with Delays

Suat Gumussoy, Wim Michiels

An eigenvalue based framework is developed for the H-infinity norm analysis and its norm minimization of coupled systems with time-delays, which are naturally described by delay di…

math.NA2018★ 14 cited

Efficient Solution of Large-Scale Algebraic Riccati Equations Associated with Index-2 DAEs via the Inexact Low-Rank Newton-ADI Method

Peter Benner, Matthias Heinkenschloss, Jens Saak +1

This paper extends the algorithm of Benner, Heinkenschloss, Saak, and Weichelt: An inexact low-rank Newton-ADI method for large-scale algebraic Riccati equations, Applied Numerical…

cs.DM2015

The packing chromatic number of the infinite square lattice is between 13 and 15

Barnaby Martin, Franco Raimondi, Taolue Chen +1

Using a SAT-solver on top of a partial previously-known solution we improve the upper bound of the packing chromatic number of the infinite square lattice from 17 to 15. We discuss…

stat.ME2014

Quantifying the Multi-Scale Performance of Network Inference Algorithms

Chris J. Oates, Richard Amos, Simon E. F. Spencer

Graphical models are widely used to study complex multivariate biological systems. Network inference algorithms aim to reverse-engineer such models from noisy experimental data. It…