Abstract
We consider a p-norm linear discrimination model that generalizes the model of Bennett and Mangasarian (1992) and reduces to a linear programming problem with p-order cone constraints. The proposed approach for handling linear programming problems with p-order cone constraints is based on reformulation of p-order cone optimization problems as second order cone programming (SOCP) problems when p is rational. Since such reformulations typically lead to SOCP problems with large numbers of second order cones, an "economical" representation that minimizes the number of second order cones is proposed. A case study illustrating the developed model on several popular data sets is conducted.
Original language | English (US) |
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Pages (from-to) | 784-789 |
Number of pages | 6 |
Journal | European Journal of Operational Research |
Volume | 231 |
Issue number | 3 |
DOIs | |
State | Published - Dec 16 2013 |
Externally published | Yes |
Keywords
- Linear separation
- Second order cone programming
- p-Order cone programming
ASJC Scopus subject areas
- General Computer Science
- Modeling and Simulation
- Management Science and Operations Research
- Information Systems and Management