Definition: A generalization of a linear program in which any subset of the variables may be constrained to form a semidefinite matrix.
Note: Used in recent results and obtaining better approximation algorithms for cut, satisfiability, and coloring problems. From Algorithms and Theory of Computation Handbook, page 34-18, Copyright © 1999 by CRC Press LLC. Appearing in the Dictionary of Computer Science, Engineering and Technology, Copyright © 2000 CRC Press LLC.
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Entry modified 17 December 2004.
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Cite this as:
Algorithms and Theory of Computation Handbook, CRC Press LLC, 1999, "semidefinite programming", in Dictionary of Algorithms and Data Structures [online], Paul E. Black, ed. 17 December 2004. (accessed TODAY) Available from: https://www.nist.gov/dads/HTML/semidefinite.html