A New Iteration Large-Update Primal-Dual Interior-Point Method for Second-Order Cone Programming
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Publication:2895672
DOI10.1080/01630563.2011.652269zbMath1246.90116OpenAlexW2143481751MaRDI QIDQ2895672
Publication date: 4 July 2012
Published in: Numerical Functional Analysis and Optimization (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1080/01630563.2011.652269
interior-point methodsecond-order cone programmingprimal-dual path following methoditeration complexity bound
Numerical mathematical programming methods (65K05) Convex programming (90C25) Interior-point methods (90C51)
Related Items (8)
An O(r(cond(G))1/4log¼ϵ−1) iteration predictor–corrector interior-point method with a new one-norm neighbourhood for symmetric cone optimization ⋮ A wide neighborhood primal-dual predictor-corrector interior-point method for symmetric cone optimization ⋮ Two wide neighborhood interior-point methods for symmetric cone optimization ⋮ A new wide neighborhood primal-dual second-order corrector algorithm for linear optimization ⋮ A wide neighborhood predictor-infeasible corrector interior-point algorithm for linear optimization ⋮ A second-order corrector wide neighborhood infeasible interior-point method for linear optimization based on a specific kernel function ⋮ Polynomial convergence of two higher order interior-point methods for \(P_*(\kappa)\)-LCP in a wide neighborhood of the central path ⋮ A New Predictor-corrector Infeasible Interior-point Algorithm for Linear Optimization in aWide Neighborhood
Cites Work
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- Applications of second-order cone 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
- Second-order cone programming
- Neighborhood-following algorithms for linear programming
- On the Nesterov--Todd Direction in Semidefinite Programming
- Self-Scaled Barriers and Interior-Point Methods for Convex Programming
- An Efficient Algorithm for Minimizing a Sum of Euclidean Norms with Applications
- Primal-Dual Interior-Point Methods for Self-Scaled Cones
- On Extending Some Primal--Dual Interior-Point Algorithms From Linear Programming to Semidefinite Programming
- A convergence analysis of the scaling-invariant primal-dual path-following algorithms for second-order cone programming
- Polynomial Convergence of a New Family of Primal-Dual Algorithms for Semidefinite Programming
- An O$(\sqrtn L)$ Iteration Primal-dual Path-following Method, Based on Wide Neighborhoods and Large Updates, for Monotone LCP
- Polynomial Convergence of Infeasible-Interior-Point Methods over Symmetric Cones
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