A Superlinearly Convergent Primal-Dual Infeasible-Interior-Point Algorithm for Semidefinite Programming
Author:
Publisher
Society for Industrial & Applied Mathematics (SIAM)
Subject
Theoretical Computer Science,Software
Link
http://epubs.siam.org/doi/pdf/10.1137/S1052623495294955
Reference14 articles.
1. Interior Point Methods in Semidefinite Programming with Applications to Combinatorial Optimization
2. Primal-Dual Interior-Point Methods for Semidefinite Programming: Convergence Rates, Stability and Numerical Results
3. An Interior-Point Method for Semidefinite Programming
4. Predictor-corrector method for linear complementarity problems with polynomial complexity and superlinear convergence
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