A new penalty parameter for linearly constrained 0–1 quadratic programming problems
✍ Scribed by Yong Hsia, Yanping Wang
- Book ID
- 120885479
- Publisher
- Springer-Verlag
- Year
- 2012
- Tongue
- English
- Weight
- 192 KB
- Volume
- 7
- Category
- Article
- ISSN
- 1862-4472
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We consider the reduction of multi-quadratic 0-1 programming problems to linear mixed 0-1 programming problems. In this reduction, the number of additional continuous variables is O(kn) (n is the number of initial 0-1 variables and k is the number of quadratic constraints). The number of 0-1 variabl
Given a quadratic pseudo-Boolean function f (x 1, . , XJ written as a multilinear polynomial in its variables, Hammer et al. [7] have studied, in their paper "Roof duality, complementation and persistency in quadratic 0-I optimization", the greatest constant c such that there exists a quadratic posi