A Scaled Gauss--Newton Primal-Dual Search Direction for Semidefinite Optimization
Author:
Publisher
Society for Industrial & Applied Mathematics (SIAM)
Subject
Theoretical Computer Science,Software
Link
http://epubs.siam.org/doi/pdf/10.1137/S1052623499352632
Reference13 articles.
1. Primal-Dual Interior-Point Methods for Semidefinite Programming: Convergence Rates, Stability and Numerical Results
2. A study of search directions in primal-dual interior-point methods for semidefinite programming
3. An Interior-Point Method for Semidefinite Programming
4. A long-step primal–dual path-following method for semidefinite programming
5. Interior-Point Methods for the Monotone Semidefinite Linear Complementarity Problem in Symmetric Matrices
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1. A Relaxed Interior Point Method for Low-Rank Semidefinite Programming Problems with Applications to Matrix Completion;Journal of Scientific Computing;2021-10-11
2. A robust algorithm for semidefinite programming;Optimization Methods and Software;2012-10
3. On NP-hardness of the clique partition—Independence number gap recognition and related problems;Discrete Mathematics;2006-03
4. Solving semidefinite programs using preconditioned conjugate gradients;Optimization Methods and Software;2004-12
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