Algorithm Design and Analysis for Large-Scale Semidefinite Programming and Nonlinear Programming
The limiting behavior of weighted paths associated with the semidefinite program (SDP) map $X^{1/2}SX^{1/2}$ was studied and some applications to error bound analysis and superlinear convergence of a class of primal-dual interior-point methods were provided. A new approach for solving large-scale w...
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| Format: | Others |
| Language: | en_US |
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Georgia Institute of Technology
2005
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| Online Access: | http://hdl.handle.net/1853/7151 |