On projected Newton barrier methods for linear programming and an equivalence to Karmarkar's projective method

Implementing interior point linear programming methods in the Optimization Subroutine Library

IBM Systems Journal

Recent developments and future directions in mathematical programming

IBM Systems Journal

A modified Schur-complement method for handling dense columns in interior-point methods for linear programming

ACM Transactions on Mathematical Software (TOMS)

On the Superlinear Convergence Order of the Logarithmic Barrier Algorithm

Computational Optimization and Applications

A Computational Study of the Homogeneous Algorithm for Large-scale Convex Optimization

Computational Optimization and Applications

Postponing the Choice of Penalty Parameter and Step Length

Computational Optimization and Applications

Computing Equilibria in General Equilibrium Models via Interior-pointMethods

Computational Economics

The Common Optimization INterface for Operations Research: Promoting open-source software in the operations research community

IBM Journal of Research and Development

Numerical Experiments with an Interior-Exterior Point Method for Nonlinear Programming

Computational Optimization and Applications

MaxSolver: an efficient exact algorithm for (weighted) maximum satisfiability

Artificial Intelligence

On the complexity of a combined homotopy interior method for convex programming

Journal of Computational and Applied Mathematics

On the iterative solution of KKT systems in potential reduction software for large-scale quadratic problems

Computational Optimization and Applications

Review:

Neural Computation

MaxSolver: An efficient exact algorithm for (weighted) maximum satisfiability

Artificial Intelligence

Applications of one-shot methods in PDEs constrained shape optimization

Mathematics and Computers in Simulation

On mutual impact of numerical linear algebra and large-scale optimization with focus on interior point methods

Computational Optimization and Applications

Convex optimization

Algorithms and theory of computation handbook

Automated synthesis of discrete-time sigma-delta modulators from system architecture to circuit netlist

Microelectronics Journal

George B. Dantzig and systems optimization

Discrete Optimization

On the convex programming approach to linear programming

Operations Research Letters

Todd's low-complexity algorithm is a predictor-corrector path-following method

Operations Research Letters

A new linesearch method for quadratically constrained convex programming

Operations Research Letters