Solving quadratic (0,1)-problems by semidefinite programs and cutting planes
Semidefinite Programming
Cutting-plane method
Semidefinite embedding
Theory of computation
Sequential quadratic programming
DOI:
10.1007/bf01580072
Publication Date:
2005-04-28T08:57:53Z
AUTHORS (2)
ABSTRACT
We present computational experiments for solving quadratic (0, 1) problems. Our approach combines a semidefinite relaxation with a cutting plane technique, and is applied in a Branch and Bound setting. Our experiments indicate that this type of approach is very robust, and allows to solve many moderately sized problems, having say, less than 100 binary variables, in a routine manner. © 1998 The Mathematical Programming Society, Inc. Published by Elsevier Science B.V.
SUPPLEMENTAL MATERIAL
Coming soon ....
REFERENCES (44)
CITATIONS (109)
EXTERNAL LINKS
PlumX Metrics
RECOMMENDATIONS
FAIR ASSESSMENT
Coming soon ....
JUPYTER LAB
Coming soon ....