arXiv:2611.14837 · v1

Two-Stage Mixed-Integer Quadratic Programming in Polynomial Time

首次提交 2026-11-11 07:39

版本更新 2026-11-11 07:39

雷达观测 2026-11-13 10:09

摘要

Lenstra showed that mixed-integer linear programming can be solved in polynomial time when the number of integer variables is fixed and the number of continuous variables is arbitrary. Mixed-integer quadratic programming (MIQP) can be solved in polynomial time when the total number of variables is fixed. However, since MIQP is NP-hard already without integer variables, the analog of Lenstra's result fails unless P = NP. Hence, polynomial-time algorithms for MIQP with an arbitrary number of continuous variables must exploit additional structure. We study MIQPs with two-stage structure, which underlies Benders decomposition and two-stage stochastic programming. A few linking variables, including all integer variables, are coupled with many blocks of continuous variables that interact only through them, both in the constraints and in the objective. We give a polynomial-time algorithm for MIQP with an arbitrary quadratic objective when the number of linking variables and the block size are fixed, while the number of blocks, and hence the number of variables, is arbitrary. The case with no blocks is MIQP in fixed dimension. None of our assumptions can be dropped. Unless P = NP, the number of linking variables and the block size must both be fixed, the blocks cannot interact or contain integer variables, and large blocks cannot be allowed even if their objective is linear. Unless FPT = W[1], the exponent of the running time must depend on both the number of linking variables and the block size.