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20172023
most citedOptimization and Optimizers for Adversarial Robustness

2 citations · 6 across the 14 of their papers we have counts for

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11 papers · 1 filter

math.OC2021

Root-max Problems, Hybrid Expansion-Contraction, and Quadratically Convergent Optimization of Passive Systems

Tim Mitchell, Paul Van Dooren

We present quadratically convergent algorithms to compute the extremal value of a real parameter for which a given rational transfer function of a linear time-invariant system is p…

math.OC2021

On Properties of Univariate Max Functions at Local Maximizers

Tim Mitchell, Michael L. Overton

More than three decades ago, Boyd and Balakrishnan established a regularity result for the two-norm of a transfer function at maximizers. Their result extends easily to the stateme…

math.OC2021

Optimization-based parametric model order reduction via first-order necessary conditions

Manuela Hund, Tim Mitchell, Petar Mlinarić +1

In this paper, we generalize existing frameworks for -optimal model order reduction to a broad class of parametric linear time-invariant systems.…

math.OC2019

Fast Computation of Sep via Interpolation-based Globality Certificates

Tim Mitchell

Given two square matrices and , we propose a new approach for computing the smallest value such that and share an eigenvalue, where $\|E\|=\…

math.OC2019

Fast Interpolation-based Globality Certificates for Computing Kreiss Constants and the Distance to Uncontrollability

Tim Mitchell

We propose a new approach to computing global minimizers of singular value functions in two real variables. Specifically, we present new algorithms to compute the Kreiss constant o…

math.OC2019

Computing the Kreiss Constant of a Matrix

Tim Mitchell

We establish the first globally convergent algorithms for computing the Kreiss constant of a matrix to arbitrary accuracy. We propose three different iterations for continuous-time…