An approximation algorithm for indefinite mixed integer quadratic programming
成果类型:
Article
署名作者:
Del Pia, Alberto
署名单位:
University of Wisconsin System; University of Wisconsin Madison; University of Wisconsin System; University of Wisconsin Madison
刊物名称:
MATHEMATICAL PROGRAMMING
ISSN/ISSBN:
0025-5610
DOI:
10.1007/s10107-022-01907-3
发表日期:
2023
页码:
263-293
关键词:
minimization
POLYNOMIALS
complexity
points
摘要:
In this paper, we give an algorithm that finds an e-approximate solution to a mixed integer quadratic programming (MIQP) problem. The algorithm runs in polynomial time if the rank of the quadratic function and the number of integer variables are fixed. The running time of the algorithm is expected unless P=NP. In order to design this algorithm we introduce the novel concepts of spherical form MIQP and of aligned vectors, and we provide a number of results of independent interest. In particular, we give a strongly polynomial algorithm to find a symmetric decomposition of a matrix, and show a related result on simultaneous diagonalization of matrices.