World's Best Scientists 2026 revealed!
Christian Kanzow

Christian Kanzow

D-Index & Metrics

Mathematics

D-Index
61
Citations
12148
World Ranking
522
National Ranking
25

Engineering and Technology

D-Index
61
Citations
12114
World Ranking
2074
National Ranking
61

Overview

Christian Kanzow is affiliated with the University of Würzburg in Germany. Their research focuses primarily on fields related to Mathematics, Computer Science, and Engineering.

Within these broader fields, Kanzow's work specifically involves:

  • Numerical Analysis
  • Computational Theory and Mathematics
  • Computational Mechanics
  • Mathematical Physics
  • Control and Systems Engineering

The main topics of their research include:

  • Advanced Optimization Algorithms Research
  • Optimization and Variational Analysis
  • Sparse and Compressive Sensing Techniques
  • Numerical methods in inverse problems
  • Iterative Methods for Nonlinear Equations
  • Matrix Theory and Algorithms
  • Advanced Control Systems Optimization

Kanzow has published extensively in various scientific venues. The most frequent publication outlets are:

  • arXiv (Cornell University)
  • Computational Optimization and Applications
  • SIAM Journal on Optimization
  • Journal of Optimization Theory and Applications
  • Mathematical Programming

The following are some of Kanzow's recent papers along with their year of publication and publishing venue:

  • An augmented Lagrangian method for optimization problems with structured geometric constraints, 2022, Mathematical Programming
  • Sequential optimality conditions for cardinality-constrained optimization problems with applications, 2021, Computational Optimization and Applications
  • Globalized inexact proximal Newton-type methods for nonconvex composite functions, 2020, Computational Optimization and Applications
  • Constrained composite optimization and augmented Lagrangian methods, 2023, Mathematical Programming
  • An Augmented Lagrangian Method for Cardinality-Constrained Optimization Problems, 2021, Journal of Optimization Theory and Applications

Kanzow has collaborated regularly with several co-authors, including:

  • Patrick Mehlitz
  • Gerd Wachsmuth
  • Theresa Lechner
  • Xiaoxi Jia
  • Felix Weiß

Best Publications

  • Generalized Nash equilibrium problems

    Francisco Facchinei;Christian Kanzow

  • Some Noninterior Continuation Methods for LinearComplementarity Problems

    Christian Kanzow

  • A semismooth equation approach to the solution of nonlinear complementarity problems

    Tecla De Luca;Francisco Facchinei;Christian Kanzow

  • Theorie und Numerik restringierter Optimierungsaufgaben

    Carl Geiger;Christian Kanzow

  • Erratum to Levenberg-Marquardt methods with strong local convergence properties for solving nonlinear equations with convex constraints

    Christian Kanzow;Nobuo Yamashita;Masao Fukushima

  • A penalized Fischer-Burmeister NCP-function

    Bintong Chen;Xiaojun Chen;Christian Kanzow

  • On the Accurate Identification of Active Constraints

    Francisco Facchinei;Andreas Fischer;Christian Kanzow

  • On the resolution of monotone complementarity problems

    Carl Geiger;Christian Kanzow

  • Mathematical programs with vanishing constraints: optimality conditions and constraint qualifications

    Wolfgang Achtziger;Christian Kanzow

  • A nonsmooth inexact Newton method for the solution of large-scale nonlinear complementarity problems

    Francisco Facchinei;Christian Kanzow

  • Theoretical and numerical comparison of relaxation methods for mathematical programs with complementarity constraints

    Tim Hoheisel;Christian Kanzow;Alexandra Schwartz

  • Levenberg-Marquardt methods for constrained nonlinear equations with strong local convergence properties

    C. Kanzow

  • Static prediction games for adversarial learning problems

    Michael Brückner;Christian Kanzow;Tobias Scheffer

  • Effort maximization in asymmetric contest games with heterogeneous contestants

    Jörg Franke;Christian Kanzow;Wolfgang Leininger;Alexandra Schwartz

  • Optimization reformulations of the generalized Nash equilibrium problem using Nikaido-Isoda-type functions

    Anna Heusinger;Christian Kanzow

  • A New Class of Semismooth Newton-Type Methods for Nonlinear Complementarity Problems

    Christian Kanzow;Helmut Kleinmichel

  • Penalty Methods for the Solution of Generalized Nash Equilibrium Problems

    Francisco Facchinei;Christian Kanzow

  • On the solution of the KKT conditions of generalized Nash equilibrium problems

    Axel Dreves;Francisco Facchinei;Christian Kanzow;Simone Sagratella

  • Mathematical Programs with Cardinality Constraints: Reformulation by Complementarity-Type Conditions and a Regularization Method

    Oleg P. Burdakov;Christian Kanzow;Alexandra Schwartz

  • Nonlinear complementarity as unconstrained optimization

    C. Kanzow

  • Beyond Monotonicity in Regularization Methods for Nonlinear Complementarity Problems

    Francisco Facchinei;Christian Kanzow

Frequent Co-Authors

Francisco Facchinei
Francisco Facchinei Sapienza University of Rome
Masao Fukushima
Masao Fukushima Kyoto University
Boris S. Mordukhovich
Boris S. Mordukhovich Wayne State University
Xiaojun Chen
Xiaojun Chen Hong Kong Polytechnic University
Yekini Shehu
Yekini Shehu Zhejiang Normal University
Michael C. Ferris
Michael C. Ferris University of Wisconsin–Madison
Tobias Scheffer
Tobias Scheffer University of Potsdam
Aharon Ben-Tal
Aharon Ben-Tal Technion – Israel Institute of Technology
James V. Burke
James V. Burke University of Washington
Amir Beck
Amir Beck Tel Aviv University

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