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Semidefinite Programming and Applications
Oct 7, 2002 to Oct 11, 2002

Organizer(s)

Dimitris Bertsimas, Stephen Boyd, Laurent El Ghaoui (chair), and Bernd Sturmfels
To apply for funding, you must register by Mon, Jul 22 2002.
Semidefinite programming refers to the problem of minimizing a linear objective subject to semidefiniteness constraints involving symmetric matrices that are affine in the decision variables.

Such a model of computation has enjoyed tremendous interest recently, due to its ubiquity in many areas of science and engineering. This workshop will cover theory and algorithms of SDP and several application areas, including but not limited to:

  • algebraic geometry,
  • combinatorial optimization,
  • control theory,
  • machine learning and statistics, and
  • finance and networks.

Funding

To apply for funding, you must register by Mon, Jul 22 2002. Click to Register
Students, recent Ph.D.'s, women, and members of underrepresented minorities are particularly encouraged to apply. Funding awards are made typically 6 weeks before the workshop begins. Requests received after the funding deadline are considered only if additional funds become available.


Questions about this workshop should be sent either by email to
or by regular mail to:
Semidefinite Programming and Applications
Mathematical Sciences Research Institute
17 Gauss Way, Berkeley, CA
94720-5070.
USA

The Institute is committed to the principles of Equal Opportunity and Affirmative Action.



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