World's Best Scientists 2026 revealed!

D-Index & Metrics

Mathematics

D-Index
40
Citations
6235
World Ranking
2068
National Ranking
135

Engineering and Technology

D-Index
40
Citations
6299
World Ranking
7338
National Ranking
460

Overview

Jacek Gondzio is affiliated with the University of Edinburgh in the United Kingdom. Their research focuses on optimization methods and related computational techniques, spanning several fields and subfields of study.

The main fields of study relevant to Gondzio's work include:

  • Computer Science
  • Mathematics
  • Engineering

Within these broad domains, the subfields of study where Gondzio has contributed are:

  • Computational Theory and Mathematics
  • Numerical Analysis
  • Computational Mechanics
  • Civil and Structural Engineering
  • Atomic and Molecular Physics, and Optics

Their research covers several key topics, including:

  • Advanced Optimization Algorithms Research
  • Matrix Theory and Algorithms
  • Sparse and Compressive Sensing Techniques
  • Optimization and Variational Analysis
  • Electromagnetic Scattering and Analysis
  • Topology Optimization in Engineering
  • Organ Donation and Transplantation

Jacek Gondzio has authored multiple papers, with recent publications illustrating diverse applications and methodological advances. Selected recent papers include:

  • "Truss geometry and topology optimization with global stability constraints," 2020, Structural and Multidisciplinary Optimization
  • "Improved instance generation for kidney exchange programmes," 2022, Computers & Operations Research
  • "A new preconditioning approach for an interior point-proximal method of multipliers for linear and convex quadratic programming," 2021, Numerical Linear Algebra with Applications
  • "Sparse Approximations with Interior Point Methods," 2022, SIAM Review
  • "A Relaxed Interior Point Method for Low-Rank Semidefinite Programming Problems with Applications to Matrix Completion," 2021, Archivio istituzionale della ricerca (Alma Mater Studiorum Università di Bologna)

Jacek Gondzio frequently collaborates with several co-authors, with whom they have multiple joint publications. Notable frequent co-authors include:

  • Spyridon Pougkakiotis
  • Stefano Cipolla
  • Filippo Zanetti
  • Jörg Kalcsics
  • Maxence Delorme

Their work has appeared in a number of publication venues, reflecting a strong presence in journals and archives related to optimization and applied mathematics. Frequent venues comprise:

  • arXiv (Cornell University)
  • Computational Optimization and Applications
  • Structural and Multidisciplinary Optimization
  • Computers & Operations Research
  • EURO Journal on Computational Optimization

Best Publications

  • Interior point methods 25 years later

    Jacek Gondzio

  • Implementation of Interior Point Methods for Large Scale Linear Programming

    E.D. Andersen;J. Gondzio;C. Meszaros;X. Xu

  • Multiple centrality corrections in a primal-dual method for linear programming

    Jacek Gondzio

  • Regularized symmetric indefinite systems in interior point methods for linear and quadratic optimization

    Anna Altman;Jacek Gondzio

  • Preconditioning Indefinite Systems in Interior Point Methods for Optimization

    Luca Bergamaschi;Jacek Gondzio;Giovanni Zilli

  • Solving nonlinear multicommodity flow problems by the analytic center cutting plane method

    J.-L. Goffin;J. Gondzio;R. Sarkissian;J.-P. Vial

  • HOPDM (version 2.12) — A fast LP solver based on a primal-dual interior point method

    Jacek Gondzio

  • High-Performance Computing for Asset-Liability Management

    Jacek Gondzio;Roy Kouwenberg

  • Base Station Location Optimization for Minimal Energy Consumption in Wireless Networks

    Pablo Gonzalez-Brevis;Jacek Gondzio;Yijia Fan;H. Vincent Poor

  • Presolve Analysis of Linear Programs Prior to Applying an Interior Point Method

    Jacek Gondzio

  • Warm start of the primal-dual method applied in the cutting-plane scheme

    Jacek Gondzio

  • Implementation of Interior-Point Methods for Large Scale Linear Programs

    Erling D. Anderson;Jacek Gondzio;Csaba Mészáros;Xiaojie Xu

  • Parallel Interior Point Solver for Structured Linear Programs

    Jacek Gondzio;Robert Sarkissian

  • Matrix-free interior point method

    Jacek Gondzio

  • Parallel interior-point solver for structured quadratic programs: Application to financial planning problems

    Jacek Gondzio;Andreas Grothey

  • Inexact Coordinate Descent: Complexity and Preconditioning

    Rachael Tappenden;Peter Richtárik;Jacek Gondzio

  • Modelling and optimisation in European Kidney Exchange Programmes

    Péter Biró;Joris van de Klundert;David F. Manlove;William Pettersson

  • Exploiting structure in parallel implementation of interior point methods for optimization

    Jacek Gondzio;Andreas Grothey

  • Further development of multiple centrality correctors for interior point methods

    Marco Colombo;Jacek Gondzio

  • The Robust Vehicle Routing Problem with Time Windows: Compact Formulation and Branch-Price-and-Cut Method

    Pedro Augusto Munari;Alfredo Moreno;Jonathan De La Vega;Douglas José Alem

  • New developments in the primal-dual column generation technique

    Jacek Gondzio;Pablo González-Brevis;Pedro Augusto Munari

  • A second-order method for strongly convex $$ll _1$$ℓ1-regularization problems

    Kimon Fountoulakis;Jacek Gondzio

  • Matrix-free interior point method for compressed sensing problems

    Kimon Fountoulakis;Jacek Gondzio;Pavel Zhlobich

Frequent Co-Authors

Jean-Philippe Vial
Jean-Philippe Vial University of Geneva
David F. Manlove
David F. Manlove University of Glasgow
Peter Richtárik
Peter Richtárik King Abdullah University of Science and Technology
Andrzej Ruszczyński
Andrzej Ruszczyński Rutgers, The State University of New Jersey
Reinaldo Morabito
Reinaldo Morabito Federal University of São Carlos
H. Vincent Poor
H. Vincent Poor Princeton University
John Thompson
John Thompson University of Edinburgh
Ioannis Krikidis
Ioannis Krikidis University of Cyprus
Tamás Terlaky
Tamás Terlaky Lehigh University
Bernard Mulgrew
Bernard Mulgrew University of Edinburgh

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