This paper studies an extended trust region subproblem (eTRS) in which the trust region intersects the unit ball with \(m\) linear inequality constraints. When \(m=0,\,m = 1\), or \(m = 2\) and the linear constraints are parallel, it is known that the eTRS optimal value equals the optimal value of a particular convex relaxation, which is solvable in polynomial time. However, it is also known that, when \(m \ge 2\) and at least two of the linear constraints intersect within the ball, i.e., some feasible point of the eTRS satisfies both linear constraints at equality, then the same convex relaxation may admit a gap with eTRS. This paper shows that the convex relaxation has no gap for arbitrary \(m\) as long as the linear constraints are non-intersecting.
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The authors are in debt to two anonymous referees who provided detailed suggestions that have improved the paper immensely. The authors would also like to thank Kurt Anstreicher for numerous discussions and for suggesting first that the case \(m=2\) might be extensible to arbitrary \(m\).
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Burer, S., Yang, B. The trust region subproblem with non-intersecting linear constraints. Math. Program. 149, 253–264 (2015). https://doi.org/10.1007/s10107-014-0749-1
- Trust-region subproblem
- Second-order cone programming
- Semidefinite programming
- Nonconvex quadratic programming
Mathematics Subject Classification