On Exploiting Original Problem Data in the Inverse Representation of Linear Programming Bases. - Jacek Gondzio (INFORMS J. Comput., 1994)

Multiple centrality corrections in a primal-dual method for linear programming. - Jacek Gondzio (Comput. Optim. Appl., 1996)

Solving nonlinear multicommodity flow problems by the analytic center cutting plane method. - Jean-Louis Goffin; Jacek Gondzio; Robert Sarkissian; Jean-Philippe Vial (Math. Program., 1996)

Presolove Analysis of Linear Programs Prior to Applying an Interior Point Method. - Jacek Gondzio (INFORMS J. Comput., 1997)

Warm start of the primal-dual method applied in the cutting-plane scheme. - Jacek Gondzio (Math. Program., 1998)

Decomposition and parallel processing techniques for two-time scale controlled Markov chains. - Jerzy A. Filar; Jacek Gondzio; Alain Haurie; Francesco Moresino; Jean-Philippe Vial (CDC, 2000)

Building and Solving Large-Scale Stochastic Programs on an Affordable Distributed Computing System. - Emmanuel Fragnière; Jacek Gondzio; Jean-Philippe Vial (Ann. Oper. Res., 2000)

Efficient Management of Multiple Sets to Extract Complex Structures from Mathematical Programs. - Emmanuel Fragnière; Jacek Gondzio; Robert Sarkissian (Ann. Oper. Res., 2001)

Parallel Implementation of a Central Decomposition Method for Solving Large-Scale Planning Problems. - Jacek Gondzio; Robert Sarkissian; Jean-Philippe Vial (Comput. Optim. Appl., 2001)

Addendum to "Presolve Analysis of Linear Programs Prior to Applying an Interior Point Method". - Csaba Mészáros; Jacek Gondzio (INFORMS J. Comput., 2001)

High-Performance Computing for Asset-Liability Management. - Jacek Gondzio; Roy Kouwenberg (Oper. Res., 2001)

Reoptimization With the Primal-Dual Interior Point Method. - Jacek Gondzio; Andreas Grothey (SIAM J. Optim., 2002)

Parallel interior-point solver for structured linear programs. - Jacek Gondzio; Robert Sarkissian (Math. Program., 2003)

Preconditioning Indefinite Systems in Interior Point Methods for Optimization. - Luca Bergamaschi; Jacek Gondzio; Giovanni Zilli (Comput. Optim. Appl., 2004)

An Interior Point Heuristic for the Hamiltonian Cycle Problem via Markov Decision Processes. - Vladimir Ejov; Jerzy A. Filar; Jacek Gondzio (J. Glob. Optim., 2004)

7. Stochastic Programming from Modeling Languages. - Emmanuel Fragnière; Jacek Gondzio (Applications of Stochastic Programming, 2005)

Direct Solution of Linear Systems of Size 109 Arising in Optimization with Interior Point Methods. - Jacek Gondzio; Andreas Grothey (PPAM, 2005)

Parallel interior-point solver for structured quadratic programs: Application to financial planning problems. - Jacek Gondzio; Andreas Grothey (Ann. Oper. Res., 2007)

Inexact constraint preconditioners for linear systems arising in interior point methods. - Luca Bergamaschi; Jacek Gondzio; Manolo Venturin; Giovanni Zilli (Comput. Optim. Appl., 2007)

Solving non-linear portfolio optimization problems with the primal-dual interior point method. - Jacek Gondzio; Andreas Grothey (Eur. J. Oper. Res., 2007)

Robust transmit beamforming based on probabilistic constraint. - Huiqin Du; Pei-Jung Chung; Jacek Gondzio; Bernard Mulgrew (EUSIPCO, 2008)

Further development of multiple centrality correctors for interior point methods. - Marco Colombo; Jacek Gondzio (Comput. Optim. Appl., 2008)

Preconditioning indefinite systems in interior point methods for large scale linear optimisation. - Ghussoun Al-Jeiroudi; Jacek Gondzio; J. A. Julian Hall (Optim. Methods Softw., 2008)

A New Unblocking Technique to Warmstart Interior Point Methods Based on Sensitivity Analysis. - Jacek Gondzio; Andreas Grothey (SIAM J. Optim., 2008)

Exploiting structure in parallel implementation of interior point methods for optimization. - Jacek Gondzio; Andreas Grothey (Comput. Manag. Sci., 2009)

Warmstarting for interior point methods applied to the long-term power planning problem. - Adela Pagès; Jacek Gondzio; Narcís Nabona (Eur. J. Oper. Res., 2009)

Hybrid MPI/OpenMP Parallel Linear Support Vector Machine Training. - Kristian Woodsend; Jacek Gondzio (J. Mach. Learn. Res., 2009)

A structure-conveying modelling language for mathematical and stochastic programming. - Marco Colombo; Andreas Grothey; Jonathan D. Hogg; Kristian Woodsend; Jacek Gondzio (Math. Program. Comput., 2009)

Regularization and preconditioning of KKT systems arising in nonnegative least-squares problems. - Stefania Bellavia; Jacek Gondzio; Benedetta Morini (Numer. Linear Algebra Appl., 2009)

A family of linear programming algorithms based on an algorithm by von Neumann. - João P. M. Gonçalves; Robert H. Storer; Jacek Gondzio (Optim. Methods Softw., 2009)

Operations risk management by optimally planning the qualified workforce capacity. - Emmanuel Fragnière; Jacek Gondzio; Xi Yang (Eur. J. Oper. Res., 2010)

GPU Acceleration of the Matrix-Free Interior Point Method. - Edmund Smith; Jacek Gondzio; J. A. Julian Hall (PPAM (1), 2011)

Base Station Location Optimization for Minimal Energy Consumption in Wireless Networks. - Pablo González-Brevis; Jacek Gondzio; Yijia Fan; H. Vincent Poor; John S. Thompson; Ioannis Krikidis; Pei-Jung Chung (VTC Spring, 2011)

Erratum to: Inexact constraint preconditioners for linear systems arising in interior point methods. - Luca Bergamaschi; Jacek Gondzio; Manolo Venturin; Giovanni Zilli (Comput. Optim. Appl., 2011)

Exploiting separability in large-scale linear support vector machine training. - Kristian Woodsend; Jacek Gondzio (Comput. Optim. Appl., 2011)

A note on the primal-dual column generation method for combinatorial optimization. - Pedro Augusto Munari; Pablo González-Brevis; Jacek Gondzio (Electron. Notes Discret. Math., 2011)

A warm-start approach for large-scale stochastic linear programs. - Marco Colombo; Jacek Gondzio; Andreas Grothey (Math. Program., 2011)

Computational experience with numerical methods for nonnegative least-squares problems. - Stefania Bellavia; Jacek Gondzio; Benedetta Morini (Numer. Linear Algebra Appl., 2011)

A Probabilistic Constraint Approach for Robust Transmit Beamforming With Imperfect Channel Information. - Pei-Jung Chung; Huiqin Du; Jacek Gondzio (IEEE Trans. Signal Process., 2011)

Matrix-free interior point method. - Jacek Gondzio (Comput. Optim. Appl., 2012)

Interior point methods 25 years later. - Jacek Gondzio (Eur. J. Oper. Res., 2012)

Using the primal-dual interior point algorithm within the branch-price-and-cut method. - Pedro Augusto Munari; Jacek Gondzio (Comput. Oper. Res., 2013)

New developments in the primal-dual column generation technique. - Jacek Gondzio; Pablo González-Brevis; Pedro Augusto Munari (Eur. J. Oper. Res., 2013)

Convergence Analysis of an Inexact Feasible Interior Point Method for Convex Quadratic Programming. - Jacek Gondzio (SIAM J. Optim., 2013)

A Matrix-Free Preconditioner for Sparse Symmetric Positive Definite Systems and Least-Squares Problems. - Stefania Bellavia; Jacek Gondzio; Benedetta Morini (SIAM J. Sci. Comput., 2013)

Action constrained quasi-Newton methods. - Robert Mansel Gower; Jacek Gondzio (CoRR, 2014)

Solving large-scale optimization problems related to Bell's Theorem. - Jacek Gondzio; Jacek A. Gruca; J. A. Julian Hall; Wieslaw Laskowski; Marek Zukowski (J. Comput. Appl. Math., 2014)

Matrix-free interior point method for compressed sensing problems. - Kimon Fountoulakis; Jacek Gondzio; Pavel Zhlobich (Math. Program. Comput., 2014)

A new warmstarting strategy for the primal-dual column generation method. - Jacek Gondzio; Pablo González-Brevis (Math. Program., 2015)

A Preconditioner for A Primal-Dual Newton Conjugate Gradient Method for Compressed Sensing Problems. - Ioannis K. Dassios; Kimon Fountoulakis; Jacek Gondzio (SIAM J. Sci. Comput., 2015)

Performance of first- and second-order methods for ( ell _1 ) -regularized least squares problems. - Kimon Fountoulakis; Jacek Gondzio (Comput. Optim. Appl., 2016)

Crash start of interior point methods. - Jacek Gondzio (Eur. J. Oper. Res., 2016)

Inexact Coordinate Descent: Complexity and Preconditioning. - Rachael Tappenden; Peter Richtárik; Jacek Gondzio (J. Optim. Theory Appl., 2016)

A second-order method for strongly convex ℓ 1 -regularization problems. - Kimon Fountoulakis; Jacek Gondzio (Math. Program., 2016)

Large-scale optimization with the primal-dual column generation method. - Jacek Gondzio; Pablo González-Brevis; Pedro Augusto Munari (Math. Program. Comput., 2016)

Fast interior point solution of quadratic programming problems arising from PDE-constrained optimization. - John W. Pearson; Jacek Gondzio (Numerische Mathematik, 2017)

A specialized primal-dual interior point method for the plastic truss layout optimization. - Alemseged Gebrehiwot Weldeyesus; Jacek Gondzio (Comput. Optim. Appl., 2018)

Quasi-Newton approaches to interior point methods for quadratic problems. - Jacek Gondzio; F. N. C. Sobral (Comput. Optim. Appl., 2019)

A relaxed interior point method for low-rank semidefinite programming problems. - Stefania Bellavia; Jacek Gondzio; Margherita Porcelli (CoRR, 2019)

Mathematical models for stable matching problems with ties and incomplete lists. - Maxence Delorme; Sergio García 001; Jacek Gondzio; Jörg Kalcsics; David F. Manlove; William Pettersson (Eur. J. Oper. Res., 2019)

Dynamic Non-diagonal Regularization in Interior Point Methods for Linear and Convex Quadratic Programming. - Spyridon Pougkakiotis; Jacek Gondzio (J. Optim. Theory Appl., 2019)

An inexact dual logarithmic barrier method for solving sparse semidefinite programs. - Stefania Bellavia; Jacek Gondzio; Margherita Porcelli (Math. Program., 2019)

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; Jacek Gondzio; Reinaldo Morabito (Transp. Sci., 2019)

ADMM and inexact ALM: the QP case. - Stefano Cipolla; Jacek Gondzio (CoRR, 2020)

Implementation of an interior point method with basis preconditioning. - Lukas Schork; Jacek Gondzio (Math. Program. Comput., 2020)

Fast Solution Methods for Convex Quadratic Optimization of Fractional Differential Equations. - Spyridon Pougkakiotis; John W. Pearson; Santolo Leveque; Jacek Gondzio (SIAM J. Matrix Anal. Appl., 2020)

An interior point-proximal method of multipliers for convex quadratic programming. - Spyridon Pougkakiotis; Jacek Gondzio (Comput. Optim. Appl., 2021)

Improving solution times for stable matching problems through preprocessing. - William Pettersson; Maxence Delorme; Sergio García 001; Jacek Gondzio; Jörg Kalcsics; David F. Manlove (Comput. Oper. Res., 2021)

Material-separating regularizer for multi-energy X-ray tomography. - Jacek Gondzio; Matti Lassas; Salla-Maaria Latva-Äijö; Samuli Siltanen; Filippo Zanetti (CoRR, 2021)

Global solutions of nonconvex standard quadratic programs via mixed integer linear programming reformulations. - Jacek Gondzio; E. Alper Yildirim (J. Glob. Optim., 2021)

A Relaxed Interior Point Method for Low-Rank Semidefinite Programming Problems with Applications to Matrix Completion. - Stefania Bellavia; Jacek Gondzio; Margherita Porcelli (J. Sci. Comput., 2021)

A new preconditioning approach for an interior point-proximal method of multipliers for linear and convex quadratic programming. - Luca Bergamaschi; Jacek Gondzio; Ángeles Martínez 001; John W. Pearson; Spyridon Pougkakiotis (Numer. Linear Algebra Appl., 2021)

General-purpose preconditioning for regularized interior point methods. - Jacek Gondzio; Spyridon Pougkakiotis; John W. Pearson (Comput. Optim. Appl., 2022)

Improved instance generation for kidney exchange programmes. - Maxence Delorme; Sergio García 001; Jacek Gondzio; Jörg Kalcsics; David F. Manlove; William Pettersson; James Trimble 001 (Comput. Oper. Res., 2022)

A semismooth Newton-proximal method of multipliers for 𝓁1-regularized convex quadratic programming. - Spyridon Pougkakiotis; Jacek Gondzio (CoRR, 2022)

Proximal stabilized Interior Point Methods for quadratic programming and low-frequency-updates preconditioning techniques. - Stefano Cipolla; Jacek Gondzio (CoRR, 2022)

Training very large scale nonlinear SVMs using Alternating Direction Method of Multipliers coupled with the Hierarchically Semi-Separable kernel approximations. - Stefano Cipolla; Jacek Gondzio (EURO J. Comput. Optim., 2022)

An Interior Point-Proximal Method of Multipliers for Linear Positive Semi-Definite Programming. - Spyridon Pougkakiotis; Jacek Gondzio (J. Optim. Theory Appl., 2022)

Sparse Approximations with Interior Point Methods. - Valentina De Simone; Daniela di Serafino; Jacek Gondzio; Spyridon Pougkakiotis; Marco Viola (SIAM Rev., 2022)

An Interior Point-Inspired Algorithm for Linear Programs Arising in Discrete Optimal Transport. - Filippo Zanetti; Jacek Gondzio (INFORMS J. Comput., 2023)

Optimising portfolio diversification and dimensionality. - M. Barkhagen; Sergio García 001; Jacek Gondzio; Jörg Kalcsics; J. Kroeske; Sotirios Sabanis; A. Staal (J. Glob. Optim., 2023)

A New Stopping Criterion for Krylov Solvers Applied in Interior Point Methods. - Filippo Zanetti; Jacek Gondzio (SIAM J. Sci. Comput., 2023)

Proximal Stabilized Interior Point Methods and Low-Frequency-Update Preconditioning Techniques. - Stefano Cipolla; Jacek Gondzio (J. Optim. Theory Appl., 2023)

A regularized interior point method for sparse optimal transport on graphs. - Stefano Cipolla; Jacek Gondzio; Filippo Zanetti (Eur. J. Oper. Res., 2024)

New Algorithms for Hierarchical Optimization in Kidney Exchange Programs. - Maxence Delorme; Sergio García 001; Jacek Gondzio; Jörg Kalcsics; David F. Manlove; William Pettersson (Oper. Res., 2024)

Preface for the special edition of optimization methods and software. - Serge Gratton; Philippe L. Toint; Jacek Gondzio; Yurii E. Nesterov; Yaxiang Yuan (Optim. Methods Softw., 2024)

Interior point methods in the year 2025. - Jacek Gondzio (EURO J. Comput. Optim., 2025)

Proximal-stabilized semidefinite programming. - Stefano Cipolla; Jacek Gondzio (Comput. Optim. Appl., 2025)

Polynomial worst-case iteration complexity of quasi-Newton primal-dual interior point algorithms for linear programming. - Jacek Gondzio; Francisco Nogueira Calmon Sobral (Comput. Optim. Appl., 2025)

An Efficient Active-Set method With Applications to Sparse Approximations and Risk Minimization. - Spyridon Pougkakiotis; Jacek Gondzio; Dionysis Kalogerias (J. Sci. Comput., 2025)