World's Best Scientists 2026 revealed!

Overview

Kaj Madsen is a researcher affiliated with the Technical University of Denmark in Denmark. The researcher's work includes contributions to the field of optimization, as reflected in publications related to constrained optimization techniques.

Among Kaj Madsen's recent scholarly outputs is the work titled Optimization with constraints, 2nd ed., published in 2025 through Research Portal (King's College London). This publication has attracted citations, indicating engagement from the academic community.

The scientist collaborates with several frequent co-authors, including:

  • Hans Bruun Nielsen
  • Ole Tingleff

The main venue for publication cited for Kaj Madsen's work is:

  • Research Portal (King's College London)

Kaj Madsen's recorded research output primarily focuses on optimization methodologies and constraint-handling strategies, although specific subfields, topics, and awards are not provided in the source data.

Best Publications

  • Space mapping: the state of the art

    J.W. Bandler;Q.S. Cheng;S.A. Dakroury;A.S. Mohamed

  • Electromagnetic optimization exploiting aggressive space mapping

    J.W. Bandler;R.M. Biernacki;Shao Hua Chen;R.H. Hemmers

  • A Space-Mapping Framework for Engineering Optimization—Theory and Implementation

    S. Koziel;J.W. Bandler;K. Madsen

  • A trust region aggressive space mapping algorithm for EM optimization

    M.H. Bakr;J.W. Bandler;R.M. Biernacki;S.H. Chen

  • Space Mapping With Adaptive Response Correction for Microwave Design Optimization

    S. Koziel;J.W. Bandler;K. Madsen

  • An Algorithm for Minimax Solution of Overdetermined Systems of Non-linear Equations

    K. Madsen

  • Linearly constrained minimax optimization

    Kaj Madsen;Hans Schjær-Jacobsen

  • Combined lp and quasi-Newton methods for minimax optimization

    Jørgen Hald;Kaj Madsen

  • Quality assessment of coarse models and surrogates for space mapping optimization

    Slawomir Koziel;John W. Bandler;Kaj Madsen

  • A Superlinearly Convergent Minimax Algorithm for Microwave Circuit Design

    J.W. Bandler;W. Kellermann;K. Madsen

  • A Finite Smoothing Algorithm for Linear $l_1 $ Estimation

    Kaj Madsen;Hans Bruun Nielsen

  • An Introduction to the Space Mapping Technique

    Mohamed H. Bakr;John W. Bandler;Kaj Madsen;Jacob Søndergaard

  • Review of the Space Mapping Approach to Engineering Optimization and Modeling

    Mohamed H. Bakr;John W. Bandler;Kaj Madsen;Jacob Søndergaard

  • Algorithms for worst-case tolerance optimization

    H. Schjaer-Jacobsen;K. Madsen

  • Automated minimax design of networks

    K. Madsen;H. Schjaer-Jacobsen;J. Voldby

  • Towards a rigorous formulation of the space mapping technique for engineering design

    S. Koziel;J.W. Bandler;K. Madsen

  • Space-mapping-based interpolation for engineering optimization

    S. Koziel;J.W. Bandler;K. Madsen

  • Optimization of pipe networks

    Claus Thorp Hansen;Kaj Madsen;Hans Bruun Nielsen

  • Theoretical Justification of Space-Mapping-Based Modeling Utilizing a Database and On-Demand Parameter Extraction

    S. Koziel;J.W. Bandler;K. Madsen

  • A Trust Region Aggressive Space Mapping Algorithm for EM

    M. Bakr.;J. W. Bandler;R. Biernacki;S. Chen

Frequent Co-Authors

John W. Bandler
John W. Bandler McMaster University
Mohamed H. Bakr
Mohamed H. Bakr McMaster University
Slawomir Koziel
Slawomir Koziel Reykjavík University
Tatsuo Itoh
Tatsuo Itoh University of California, Los Angeles
Raj Mittra
Raj Mittra Pennsylvania State University
James C. Lin
James C. Lin University of Illinois at Chicago
Shuzhong Zhang
Shuzhong Zhang University of Minnesota

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Best Scientists Citing Kaj Madsen