Solving nonconvex optimization problems using outer approximations of the set-copositive cone

成果类型:
Article; Early Access
署名作者:
Gabl, Markus; Anstreicher, Kurt M.
署名单位:
Helmholtz Association; Karlsruhe Institute of Technology; University of Iowa
刊物名称:
MATHEMATICAL PROGRAMMING
ISSN/ISSBN:
0025-5610
DOI:
10.1007/s10107-025-02210-7
发表日期:
2025
关键词:
cutting plane method complexity interior
摘要:
We consider the solution of nonconvex quadratic optimization problems using an outer approximation of the set-copositive cone that is iteratively strengthened with cutting planes and conic constraints. Our methodology utilizes an MILP-based oracle for a generalization of the copositive cone that considers additional linear equality constraints. In numerical testing we evaluate our algorithm on a variety of different nonconvex quadratic problems.