Abstract
We provide Completely Positive and Copositive Optimization formulations for the Constrained Fractional Quadratic Problem (CFQP) and Standard Fractional Quadratic Problem (StFQP). Based on these formulations, Semidefinite Programming relaxations are derived for finding good lower bounds to these fractional programs, which can be used in a global optimization branch-and-bound approach. Applications of the CFQP and StFQP, related with the correction of infeasible linear systems and eigenvalue complementarity problems are also discussed.
| Original language | English |
|---|---|
| Pages (from-to) | 325-350 |
| Number of pages | 26 |
| Journal | Mathematical Programming |
| Volume | 146 |
| Issue number | 1-2 |
| Early online date | 23 Jun 2013 |
| DOIs | |
| Publication status | Published - Aug 2014 |
Austrian Fields of Science 2012
- 101015 Operations research
Keywords
- ISOR
- 90C30 Nonlinear programming
- 90C25 Convex programming
- Mathematics Subject Classification (2010): 90C22 Semidefinite programming
- 90C33 Complementarity and equilibrium problems and variational inequalities (finite dimensions)
- 90C32 Fractional programming
- 90C26 Nonconvex programming, global optimization