On the Nesterov-Todd Direction in Semidefinite Programming

  title={On the Nesterov-Todd Direction in Semidefinite Programming},
  author={Michael J. Todd and Kim-Chuan Toh and Reha H. T{\"u}t{\"u}nc{\"u}},
  journal={SIAM Journal on Optimization},
We study different choices of search direction for primal-dual interior-point methods for semidefinite programming problems. One particular choice we consider comes from a specialization of a class of algorithms developed by Nesterov and Todd for certain convex programming problems. We discuss how the search directions for the Nesterov-Todd (NT) method can be computed efficiently and demonstrate how they can be viewed as Newton directions. This last observation also leads to convenient… CONTINUE READING
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