Christian Kanzow

About Christian Kanzow

Christian Kanzow, With an exceptional h-index of 62 and a recent h-index of 35 (since 2020), a distinguished researcher at Julius-Maximilians-Universität Würzburg, specializes in the field of Optimierung.

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

Automatic Adversarial Adaption for Stealthy Poisoning Attacks in Federated Learning

An Inexact Regularized Proximal Newton Method without Line Search

A bundle-type method for nonsmooth DC programs

Inexact penalty decomposition methods for optimization problems with geometric constraints

Constrained composite optimization and augmented Lagrangian methods

An augmented Lagrangian method for optimization problems with structured geometric constraints

A nonsmooth augmented Lagrangian method and its application to Poisson denoising and sparse control

Regularization of limited memory quasi-Newton methods for large-scale nonconvex minimization

Christian Kanzow Information

University

Position

Professor für Mathematik

Citations(all)

12744

Citations(since 2020)

4314

Cited By

10425

hIndex(all)

62

hIndex(since 2020)

35

i10Index(all)

139

i10Index(since 2020)

96

Email

University Profile Page

Julius-Maximilians-Universität Würzburg

Google Scholar

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Christian Kanzow Skills & Research Interests

Optimierung

Top articles of Christian Kanzow

Title

Journal

Author(s)

Publication Date

Automatic Adversarial Adaption for Stealthy Poisoning Attacks in Federated Learning

Torsten Krauß

Jan König

Alexandra Dmitrienko

Christian Kanzow

2024

An Inexact Regularized Proximal Newton Method without Line Search

arXiv preprint arXiv:2404.02635

Simeon vom Dahl

Christian Kanzow

2024/4/3

A bundle-type method for nonsmooth DC programs

Journal of Global Optimization

Christian Kanzow

Tanja Neder

2024/2

Inexact penalty decomposition methods for optimization problems with geometric constraints

Computational Optimization and Applications

Christian Kanzow

Matteo Lapucci

2023/7

Constrained composite optimization and augmented Lagrangian methods

Mathematical Programming

Alberto De Marchi

Xiaoxi Jia

Christian Kanzow

Patrick Mehlitz

2023/9

An augmented Lagrangian method for optimization problems with structured geometric constraints

SIAM Journal on Control and Optimization

Christian Kanzow

Daniel Steck

Daniel Wachsmuth

2018

A nonsmooth augmented Lagrangian method and its application to Poisson denoising and sparse control

arXiv preprint arXiv:2304.06434

Christian Kanzow

Fabius Krämer

Patrick Mehlitz

Gerd Wachsmuth

Frank Werner

2023/4/13

Regularization of limited memory quasi-Newton methods for large-scale nonconvex minimization

Mathematical Programming Computation

Christian Kanzow

Daniel Steck

2023/9

Convergence Analysis of the Proximal Gradient Method in the Presence of the Kurdyka–Łojasiewicz Property Without Global Lipschitz Assumptions

SIAM Journal on Optimization

Xiaoxi Jia

Christian Kanzow

Patrick Mehlitz

2023/12/31

An Exact Penalty Approach for General -Sparse Optimization Problems

arXiv preprint arXiv:2312.15706

Christian Kanzow

Felix Weiß

2023/12/25

Convergence properties of monotone and nonmonotone proximal gradient methods revisited

Journal of Optimization Theory and Applications

Christian Kanzow

Patrick Mehlitz

2022/11

Non-Smooth and Complementarity-Based Distributed Parameter Systems

Michael Hintermüller

Roland Herzog

Christian Kanzow

Michael Ulbrich

Stefan Ulbrich

2022

The sparse (st) optimization problem: Reformulations, optimality, stationarity, and numerical results

arXiv preprint arXiv:2210.09589

Christian Kanzow

Alexandra Schwarz

Felix Weiß

2022/10/18

Efficient regularized proximal quasi-Newton methods for large-scale nonconvex composite optimization problems

arXiv preprint arXiv:2210.07644

Christian Kanzow

Theresa Lechner

2022/10/14

Y. Cui, J.-S. Pang:“Modern Nonconvex Nondifferentiable Optimization” SIAM, 2022, xx+ 756 pp.

Christian Kanzow

2022/6

COAP 2021 Best Paper Prize

Christian Kanzow

Theresa Lechner

2022/12

Constrained structured optimization and augmented Lagrangian proximal methods

arXiv preprint arXiv:2203.05276

Alberto De Marchi

Xiaoxi Jia

Christian Kanzow

Patrick Mehlitz

2022/4

An augmented Lagrangian method for cardinality-constrained optimization problems

Journal of Optimization Theory and Applications

Christian Kanzow

Andreas B Raharja

Alexandra Schwartz

2021/6

Globalized inexact proximal Newton-type methods for nonconvex composite functions

Computational Optimization and Applications

Christian Kanzow

Theresa Lechner

2021/3

Relaxation schemes for mathematical programmes with switching constraints

Optimization Methods and Software

Christian Kanzow

Patrick Mehlitz

Daniel Steck

2021/11/2

See List of Professors in Christian Kanzow University(Julius-Maximilians-Universität Würzburg)

Co-Authors

H-index: 48
Francisco Facchinei

Francisco Facchinei

Sapienza Università di Roma

H-index: 35
Bintong Chen

Bintong Chen

University of Delaware

H-index: 29
Hou-Duo Qi

Hou-Duo Qi

University of Southampton

H-index: 28
jiming peng

jiming peng

University of Houston

H-index: 28
Nobuo Yamashita

Nobuo Yamashita

Kyoto University

H-index: 27
Oliver Stein

Oliver Stein

Karlsruher Institut für Technologie

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