His primary areas of study are Mathematical optimization, Interior point method, Linear programming, Solver and Optimization problem. His studies in Mathematical optimization integrate themes in fields like Factorization and Centrality. His Interior point method study integrates concerns from other disciplines, such as Iterative method and Numerical analysis.
The concepts of his Linear programming study are interwoven with issues in Matrix, Multi-commodity flow problem, Quadratic programming and CPU time. His Matrix study combines topics in areas such as Jacobian matrix and determinant, Hessian matrix and Preconditioner. His Solver study incorporates themes from Quadratic equation and Linear algebra.
His main research concerns Mathematical optimization, Interior point method, Linear programming, Algorithm and Optimization problem. His study in Mathematical optimization focuses on Stochastic programming, Column generation, Simplex algorithm, Cutting-plane method and Iterative method. Jacek Gondzio combines subjects such as Matrix, Quadratic programming, Preconditioner, Applied mathematics and Solver with his study of Interior point method.
His Linear programming research is multidisciplinary, incorporating elements of Simplex, Convergence and Matrix-free methods. The various areas that he examines in his Algorithm study include Beamforming and Channel state information. His work deals with themes such as Truss, Newton's method, Nonlinear system, Discretization and Function, which intersect with Optimization problem.
Jacek Gondzio mainly investigates Mathematical optimization, Interior point method, Optimization problem, Applied mathematics and Linear system. Mathematical optimization is closely attributed to Robustness in his work. His Interior point method research incorporates themes from Polynomial complexity and Regularization.
The study incorporates disciplines such as Truss, Quadratic equation, Linear programming, Diversification and Asset allocation in addition to Optimization problem. His research integrates issues of Numerical analysis, Linear algebra, Solver and Computation in his study of Applied mathematics. His Linear system research includes elements of Matrix and Nonlinear system.
Jacek Gondzio focuses on Mathematical optimization, Interior point method, Optimization problem, Linear system and Applied mathematics. He is studying Robust optimization, which is a component of Mathematical optimization. His work on Regularization expands to the thematically related Interior point method.
His biological study spans a wide range of topics, including Linear programming, Quadratic programming and Truss. Jacek Gondzio has researched Linear system in several fields, including Computation, Theory of computation, Eigenvalues and eigenvectors and Nonlinear system. His research in Applied mathematics intersects with topics in Matrix and Preconditioner.
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Implementation of Interior Point Methods for Large Scale Linear Programming
E.D. Andersen;J. Gondzio;C. Meszaros;X. Xu.
Research Papers in Economics (1996)
Multiple centrality corrections in a primal-dual method for linear programming
Computational Optimization and Applications (1996)
Interior point methods 25 years later
European Journal of Operational Research (2012)
Preconditioning Indefinite Systems in Interior Point Methods for Optimization
Luca Bergamaschi;Jacek Gondzio;Giovanni Zilli.
Computational Optimization and Applications (2004)
Regularized symmetric indefinite systems in interior point methods for linear and quadratic optimization
Anna Altman;Jacek Gondzio.
Optimization Methods & Software (1999)
Solving nonlinear multicommodity flow problems by the analytic center cutting plane method
J.-L. Goffin;J. Gondzio;R. Sarkissian;J.-P. Vial.
Mathematical Programming (1997)
HOPDM (version 2.12) — A fast LP solver based on a primal-dual interior point method
European Journal of Operational Research (1995)
High-Performance Computing for Asset-Liability Management
Jacek Gondzio;Roy Kouwenberg.
Operations Research (2001)
Presolve Analysis of Linear Programs Prior to Applying an Interior Point Method
Informs Journal on Computing (1997)
Base Station Location Optimization for Minimal Energy Consumption in Wireless Networks
Pablo Gonzalez-Brevis;Jacek Gondzio;Yijia Fan;H. Vincent Poor.
vehicular technology conference (2011)
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