Please use this identifier to cite or link to this item:
|Title:||Polynomiality of an inexact infeasible interior point algorithm for semidefinite programming|
|Keywords:||Inexact search direction|
Infeasible interior point method
|Source:||Zhou, G., Toh, K.-C. (2004-03). Polynomiality of an inexact infeasible interior point algorithm for semidefinite programming. Mathematical Programming 99 (2) : 261-282. ScholarBank@NUS Repository. https://doi.org/10.1007/s10107-003-0431-5|
|Abstract:||In this paper we present a primal-dual inexact infeasible interior-point algorithm for semidefinite programming problems (SDP). This algorithm allows the use of search directions that are calculated from the defining linear system with only moderate accuracy, and does not require feasibility to be maintained even if the initial iterate happened to be a feasible solution of the problem. Under a mild assumption on the inexactness, we show that the algorithm can find an ε-approximate solution of an SDP in O(n 2 ln(1/ε)) iterations. This bound of our algorithm is the same as that of the exact infeasible interior point algorithms proposed by Y. Zhang. © Springer-Verlag 2003.|
|Source Title:||Mathematical Programming|
|Appears in Collections:||Staff Publications|
Show full item record
Files in This Item:
There are no files associated with this item.
checked on Mar 7, 2018
WEB OF SCIENCETM
checked on Dec 25, 2017
checked on Mar 9, 2018
Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.