A new wide-neighborhood predictor-corrector interior-point method for semidefinite optimization
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Publication:2142525
DOI10.1007/s12190-021-01579-wzbMath1486.65060OpenAlexW3172187730MaRDI QIDQ2142525
Behrouz Kheirfam, Naser Osmanpour
Publication date: 27 May 2022
Published in: Journal of Applied Mathematics and Computing (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1007/s12190-021-01579-w
interior-point methodspredictor-corrector methodssemidefinite optimizationpolynomial complexitywide neighborhood
Numerical mathematical programming methods (65K05) Semidefinite programming (90C22) Interior-point methods (90C51)
Uses Software
Cites Work
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- A new primal-dual predictor-corrector interior-point method for linear programming based on a wide neighbourhood
- A unified analysis for a class of long-step primal-dual path-following interior-point algorithms for semidefinite programming
- On quadratic and \(O(\sqrt{n}L)\) convergence of a predictor-corrector algorithm for LCP
- Aspects of semidefinite programming. Interior point algorithms and selected applications
- A superlinearly convergent predictor-corrector method for degenerate LCP in a wide neighborhood of the central path with \(O(\sqrt nL)\)-iteration complexity
- Predictor-corrector method for linear complementarity problems with polynomial complexity and superlinear convergence
- A new \(O(\sqrt{n}L)\)-iteration predictor-corrector algorithm with wide neighborhood for semidefinite programming
- A second-order Mehrotra-type predictor-corrector algorithm with a new wide neighbourhood for semi-definite programming
- A New Class of Large Neighborhood Path-Following Interior Point Algorithms for Semidefinite Optimization with $O(\sqrt{n}\log\frac{\mathrm{Tr}(X^0S^0)}{\epsilon})$ Iteration Complexity
- Interior-Point Methods for the Monotone Semidefinite Linear Complementarity Problem in Symmetric Matrices
- On Adaptive-Step Primal-Dual Interior-Point Algorithms for Linear Programming
- Linear Matrix Inequalities in System and Control Theory
- Primal-Dual Interior-Point Methods for Self-Scaled Cones
- On Extending Some Primal--Dual Interior-Point Algorithms From Linear Programming to Semidefinite Programming
- SDPT3 — A Matlab software package for semidefinite programming, Version 1.3
- A Predictor-corrector Infeasible-interior-point Algorithm for Semidefinite Optimization in a Wide Neighborhood
- A Wide Neighborhood Second-order Predictor-corrector Interior-point Algorithm for Semidefinite Optimization with Modified Corrector Directions
- Interior Point Methods in Semidefinite Programming with Applications to Combinatorial Optimization
- On the Convergence of the Central Path in Semidefinite Optimization
- Semidefinite Programming
- An Interior-Point Method for Semidefinite Programming
- Interior Point Methods for Sufficient Horizontal LCP in a Wide Neighborhood of the Central Path with Best Known Iteration Complexity
- An O$(\sqrtn L)$ Iteration Primal-dual Path-following Method, Based on Wide Neighborhoods and Large Updates, for Monotone LCP
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