15.099 | Fall 2003 | Graduate

Readings in Optimization

Lecture Notes

Semidefinite Programming (SDP) and the Goemans-Williamson MAXCUT Paper

Description:

Lecture presentation on an alternate view of linear programming, symmetric and semidefinite matrices, SDP, SDP duality, approximately solving MAXCUT using SDP and random vectors, and interior-point methods for SDP.

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Lecture Notes
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Semidefinite Programming (SDP) and the Goemans-Williamson MAXCUT Paper

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As Taught In
Fall 2003
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Learning Resource Types
Lecture Notes
Presentation Assignments with Examples