A class of new search directions for full-NT step feasible interior point method in semidefinite optimization
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Publication:6186557
DOI10.1051/ro/2022192OpenAlexW4307543328MaRDI QIDQ6186557
Publication date: 2 February 2024
Published in: RAIRO - Operations Research (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1051/ro/2022192
interior point methodsemidefinite optimizationpolynomial complexityfull Nesterov-Todd stepalgebraic equivalent transformationnew search directions
Cites Work
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- A full Nesterov-Todd step infeasible interior-point method for second-order cone optimization
- A new primal-dual path-following method for convex quadratic programming
- Full Nesterov-Todd step infeasible interior-point method for symmetric optimization
- New method for determining search directions for interior-point algorithms in linear optimization
- A primal-dual interior-point algorithm for second-order cone optimization with full Nesterov-Todd step
- A new full-Newton step \(O(n)\) infeasible interior-point algorithm for semidefinite optimization
- A new primal-dual path-following interior-point algorithm for semidefinite optimization
- Aspects of semidefinite programming. Interior point algorithms and selected applications
- A full Nesterov-Todd-step feasible primal-dual interior point algorithm for convex quadratic semi-definite optimization
- Complexity analysis of a full-{N}ewton step interior-point method for linear optimization
- A new full Nesterov-Todd step primal-dual path-following interior-point algorithm for symmetric optimization
- Interior-Point Methods for the Monotone Semidefinite Linear Complementarity Problem in Symmetric Matrices
- On the Nesterov--Todd Direction in Semidefinite Programming
- New complexity analysis of a full Nesterov–Todd step interior-point method for semidefinite optimization
- Interior Point Methods in Semidefinite Programming with Applications to Combinatorial Optimization
- On the Convergence of the Central Path in Semidefinite Optimization
- An extension for identifying search directions for interior-point methods in linear optimization
- Handbook of semidefinite programming. Theory, algorithms, and applications
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