Global convergence in infeasible-interior-point algorithms
Mathematical Programming: Series A and B
An infeasible-interior-point algorithm for linear complementarity problems
Mathematical Programming: Series A and B
Interior-point methods for nonlinear complementarity problems
Journal of Optimization Theory and Applications
On the formulation and theory of the Newton interior-point method for nonlinear programming
Journal of Optimization Theory and Applications
A superlinear infeasible-interior-point algorithm for monotone complementarity problems
Mathematics of Operations Research
Primal-dual interior-point methods
Primal-dual interior-point methods
Journal of Optimization Theory and Applications
An Interior-Point Algorithm for Nonconvex Nonlinear Programming
Computational Optimization and Applications - Special issue on computational optimization—a tribute to Olvi Mangasarian, part II
On the Newton interior-point method for nonlinear programming problems
Journal of Optimization Theory and Applications
Journal of Computational and Applied Mathematics - Special issue on numerical analysis 2000 Vol. IV: optimization and nonlinear equations
An Interior Point Algorithm for Large-Scale Nonlinear Programming
SIAM Journal on Optimization
A Large-Step Infeasible-Interior-Point Method for the P*-Matrix LCP
SIAM Journal on Optimization
A Quadratically Convergent Infeasible-Interior-Point Algorithm for LCP with Polynomial Complexity
SIAM Journal on Optimization
An Infeasible Path-Following Method for Monotone Complementarity Problems
SIAM Journal on Optimization
An Infeasible-Interior-Point Method for Linear Complementarity Problems
SIAM Journal on Optimization
Numerical Methods for Unconstrained Optimization and Nonlinear Equations (Classics in Applied Mathematics, 16)
Polynomial interior-point algorithms for P*(K) horizontal linear complementarity problem
Journal of Computational and Applied Mathematics
Journal of Computational and Applied Mathematics
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Recent works have shown that a wide class of globally convergent interior point methods may manifest a weakness of convergence. Failures can be ascribed to the procedure of linesearch along the Newton step. In this paper, we introduce a globally convergent interior point method which performs backtracking along a piecewise linear path. Theoretical and computational results show the effectiveness of our proposal.