Polynomial convergence of Mehrotra-type prediction-corrector infeasible-IPM for symmetric optimization based on the commutative class directions
DOI10.1016/j.amc.2013.12.145zbMath1410.90244OpenAlexW2033397062MaRDI QIDQ1644105
Ximei Yang, Xiao Liang Dong, Hong-Wei Liu
Publication date: 21 June 2018
Published in: Applied Mathematics and Computation (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1016/j.amc.2013.12.145
interior-point methodspolynomial complexityEuclidean Jordan algebraMehrotra-type algorithmsymmetric optimization
Numerical mathematical programming methods (65K05) Linear programming (90C05) Interior-point methods (90C51)
Related Items (4)
Uses Software
Cites Work
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Polynomial complexity of an interior point algorithm with a second order corrector step for symmetric cone programming
- Full Nesterov-Todd step infeasible interior-point method for symmetric optimization
- Some P-properties for linear transformations on Euclidean Jordan algebras
- A new polynomial-time algorithm for linear programming
- A unified analysis for a class of long-step primal-dual path-following interior-point algorithms for semidefinite programming
- Linear systems in Jordan algebras and primal-dual interior-point algorithms
- Euclidean Jordan algebras and interior-point algorithms
- Extension of primal-dual interior point algorithms to symmetric cones
- On polynomiality of the Mehrotra-type predictor-corrector interior-point algorithms
- Polynomial convergence of second-order mehrotra-type predictor-corrector algorithms over symmetric cones
- A new full Nesterov-Todd step primal-dual path-following interior-point algorithm for symmetric optimization
- Jordan-algebraic aspects of nonconvex optimization over symmetric cones
- On the Implementation of a Primal-Dual Interior Point Method
- On the Convergence of a Class of Infeasible Interior-Point Methods for the Horizontal Linear Complementarity Problem
- Barrier Functions in Interior Point Methods
- Self-Scaled Barriers and Interior-Point Methods for Convex Programming
- Primal--Dual Path-Following Algorithms for Semidefinite Programming
- Primal-Dual Interior-Point Methods for Self-Scaled Cones
- SDPLIB 1.2, a library of semidefinite programming test problems
- On the Local Convergence of a Predictor-Corrector Method for Semidefinite Programming
- Polynomial Convergence of Infeasible-Interior-Point Methods over Symmetric Cones
This page was built for publication: Polynomial convergence of Mehrotra-type prediction-corrector infeasible-IPM for symmetric optimization based on the commutative class directions