activity
20192023
most citedRigorous mathematical optimization of synthetic hepatic vascular trees

29 citations · 44 across the 9 of their papers we have counts for

collaborators

9 papers

physics.bio-ph2023★ 9 cited

Branching exponents of synthetic vascular trees under different optimality principles

Etienne Jessen, Marc C. Steinbach, Charlotte Debbaut +1

The branching behavior of vascular trees is often characterized using Murray's law. We investigate its validity using synthetic vascular trees generated under global optimization c…

math.DS2022★ 3 cited

Principal Geodesic Analysis in Director-Based Dynamics of Hybrid Mechanical Systems

Cristian C. Gebhardt, Jenny Schubert, Marc C. Steinbach

In this article, we present new computational realizations of principal geodesic analysis for the unit sphere and the special orthogonal group . In particular, we addr…

physics.bio-ph2022★ 29 cited

Rigorous mathematical optimization of synthetic hepatic vascular trees

Etienne Jessen, Marc C. Steinbach, Charlotte Debbaut +1

In this paper, we introduce a new framework for generating synthetic vascular trees, based on rigorous model-based mathematical optimization. Our main contribution is the reformula…

cs.CR2021

SABMIS: Sparse approximation based blind multi-image steganography scheme

Rohit Agrawal, Kapil Ahuja, Marc C. Steinbach +1

We hide grayscale secret images into a grayscale cover image, which is considered to be a challenging steganography problem. Our goal is to develop a steganography scheme with enha…

math.OC2021

Space-time formulation, discretization, and computations for phase-field fracture optimal control problems

Denis Khimin, Marc C. Steinbach, Thomas Wick

The purpose of this work is the development of space-time discretization schemes for phase-field optimal control problems. First, a time discretization of the forward problem is de…

math.OC2020★ 2 cited

Relations between Abs-Normal NLPs and MPCCs. Part 1: Strong Constraint Qualifications

Lisa C. Hegerhorst-Schultchen, Christian Kirches, Marc C. Steinbach

This work is part of an ongoing effort of comparing non-smooth optimization problems in abs-normal form to MPCCs. We study the general abs-normal NLP with equality and inequality c…