Error analysis of approximation algorithm for standard bi-quadratic programming
Optimization and Control
2015-01-14 v1
Abstract
We consider the problem of approximately solving a standard bi-quadratic programming (StBQP), which is NP-hard. After reformulating the original problem as an equivalent copositive tensor programming, we show how to approximate the optimal solution by approximating the cone of copositive tensors via a serial polyhedral cones. The established quality of approximation shows that, a polynomial time approximation scheme (PTAS) for solving StBQP exists and can be extended to solving standard multi-quadratic programming. Some numerical examples are provided to illustrate our approach.
Cite
@article{arxiv.1501.02871,
title = {Error analysis of approximation algorithm for standard bi-quadratic programming},
author = {Chen Ling and Hongjin He and Liqun Qi},
journal= {arXiv preprint arXiv:1501.02871},
year = {2015}
}
Comments
19 pages