Dirk Lorenz

Dirk Lorenz

Technische Universität Braunschweig

H-index: 32

Europe-Germany

About Dirk Lorenz

Dirk Lorenz, With an exceptional h-index of 32 and a recent h-index of 19 (since 2020), a distinguished researcher at Technische Universität Braunschweig, specializes in the field of Applied Analysis, Inverse Problems, Mathematical Image Processing, Convex optimization.

His recent articles reflect a diverse array of research interests and contributions to the field:

The degenerate variable metric proximal point algorithm and adaptive stepsizes for primal–dual Douglas–Rachford

Proximal Algorithms for a class of abstract convex functions

On the Interplay of Subset Selection and Informed Graph Neural Networks

Linearly convergent adjoint free solution of least squares problems by random descent

Chambolle–Pock’s Primal-Dual Method with Mismatched Adjoint

Acceleration and restart for the randomized Bregman-Kaczmarz method

Regularization of inverse problems by filtered diagonal frame decomposition

Adaptive Bregman-Kaczmarz: An approach to solve linear inverse problems with independent noise exactly

Dirk Lorenz Information

University

Position

___

Citations(all)

3808

Citations(since 2020)

1649

Cited By

2837

hIndex(all)

32

hIndex(since 2020)

19

i10Index(all)

54

i10Index(since 2020)

34

Email

University Profile Page

Technische Universität Braunschweig

Google Scholar

View Google Scholar Profile

Dirk Lorenz Skills & Research Interests

Applied Analysis

Inverse Problems

Mathematical Image Processing

Convex optimization

Top articles of Dirk Lorenz

Title

Journal

Author(s)

Publication Date

The degenerate variable metric proximal point algorithm and adaptive stepsizes for primal–dual Douglas–Rachford

Optimization

Dirk A Lorenz

Jannis Marquardt

Emanuele Naldi

2024/3/7

Proximal Algorithms for a class of abstract convex functions

arXiv preprint arXiv:2402.17072

Dirk Lorenz

Ewa Bednarczuk

The Hung Tran

2024/2/26

On the Interplay of Subset Selection and Informed Graph Neural Networks

arXiv preprint arXiv:2306.10066

Niklas Breustedt

Paolo Climaco

Jochen Garcke

Jan Hamaekers

Gitta Kutyniok

...

2023/6/15

Linearly convergent adjoint free solution of least squares problems by random descent

Inverse Problems

Dirk A Lorenz

Felix Schneppe

Lionel Tondji

2023/11/16

Chambolle–Pock’s Primal-Dual Method with Mismatched Adjoint

Applied Mathematics & Optimization

Dirk A Lorenz

Felix Schneppe

2023/4

Acceleration and restart for the randomized Bregman-Kaczmarz method

arXiv preprint arXiv:2310.17338

Lionel Tondji

Ion Necoara

Dirk A Lorenz

2023/10/26

Regularization of inverse problems by filtered diagonal frame decomposition

Applied and Computational Harmonic Analysis

Andrea Ebner

Jürgen Frikel

Dirk Lorenz

Johannes Schwab

Markus Haltmeier

2023/1/1

Adaptive Bregman-Kaczmarz: An approach to solve linear inverse problems with independent noise exactly

arXiv preprint arXiv:2309.06186

Lionel Tondji

Idriss Tondji

Dirk A Lorenz

2023/9/12

Faster randomized block sparse Kaczmarz by averaging

Numerical Algorithms

Lionel Tondji

Dirk A Lorenz

2023/8

Minimal error momentum Bregman-Kaczmarz

arXiv preprint arXiv:2307.15435

Dirk A Lorenz

Maximilian Winkler

2023/7/28

A Bregman–Kaczmarz method for nonlinear systems of equations

Computational Optimization and Applications

Robert Gower

Dirk A Lorenz

Maximilian Winkler

2023/12/7

-Regularization of the Beckmann Problem

arXiv preprint arXiv:2201.07086

Dirk Lorenz

Hinrich Mahler

Christian Meyer

2022/1/18

Numerical analysis of the main wave propagation characteristics in a steel-cfrp laminate including model order reduction

Acoustics

Andrey Mikhaylenko

Natalie Rauter

Nanda Kishore Bellam Muralidhar

Tilmann Barth

Dirk A Lorenz

...

2022/6/25

L????-Regularization of the Beckmann Problem

Dirk Lorenz

Hinrich Mahler

Christian Meyer

2022

Damage Identification in Fiber Metal Laminates using Bayesian Analysis with Model Order Reduction

arXiv e-prints

Nanda Kishore Bellam Muralidhar

Carmen Gräßle

Natalie Rauter

Andrey Mikhaylenko

Rolf Lammering

...

2022/6

Degenerate preconditioned proximal point algorithms

SIAM Journal on Optimization

Kristian Bredies

Enis Chenchene

Dirk A Lorenz

Emanuele Naldi

2022

A Model-based Damage Identification using Guided Ultrasonic Wave Propagation in Fiber Metal Laminates

Proceedings of the YIC 2021-VI ECCOMAS Young Investigators Conference

Nanda Kishore Bellam Muralidhar

Dirk Lorenz

2022/5/11

Extended randomized Kaczmarz method for sparse least squares and impulsive noise problems

Linear Algebra and its Applications

Frank Schöpfer

Dirk A Lorenz

Lionel Tondji

Maximilian Winkler

2022/11/1

Nonconvex flexible sparsity regularization: theory and monotone numerical schemes

Optimization

Daria Ghilli

Dirk A Lorenz

Elena Resmerita

2022/4/3

Learning variational models with unrolling and bilevel optimization

arXiv preprint arXiv:2209.12651

Christoph Brauer

Niklas Breustedt

Timo De Wolff

Dirk A Lorenz

2022/9/26

See List of Professors in Dirk Lorenz University(Technische Universität Braunschweig)

Co-Authors

H-index: 67
Thomas Pock

Thomas Pock

Technische Universität Graz

H-index: 60
Marcus Magnor

Marcus Magnor

Technische Universität Braunschweig

H-index: 46
Bangti Jin

Bangti Jin

University College London

H-index: 43
Peter Maass

Peter Maass

Universität Bremen

H-index: 40
Kristian Bredies

Kristian Bredies

Karl-Franzens-Universität Graz

H-index: 35
Loïc Denis

Loïc Denis

Université Jean Monnet

academic-engine