A linear programming reformulation of the standard quadratic optimization problem
The problem of minimizing a quadratic form over the standard simplex is known as the standard quadratic optimization problem (SQO). It is NP-hard, and contains the maximum stable set problem in graphs as a special case. In this note, we show that the SQO problem may be reformulated as an (exponen...
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Main Authors: | Klerk, Etienne de., Pasechnik, Dmitrii V. |
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Other Authors: | School of Physical and Mathematical Sciences |
Format: | Article |
Language: | English |
Published: |
2013
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Subjects: | |
Online Access: | https://hdl.handle.net/10356/94850 http://hdl.handle.net/10220/9276 |
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Institution: | Nanyang Technological University |
Language: | English |
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