Error analysis of approximation algorithm for standard bi-quadratic programming
Chen Ling, Hongjin He, Liqun Qi

TL;DR
This paper develops a polynomial time approximation scheme for standard bi-quadratic programming by reformulating it as copositive tensor programming and approximating the copositive cone, enabling near-optimal solutions.
Contribution
It introduces a PTAS for StBQP by approximating copositive tensor cones, extending to multi-quadratic programming, with numerical validation.
Findings
Existence of a PTAS for StBQP
Reformulation as copositive tensor programming
Numerical examples demonstrating effectiveness
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.
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Taxonomy
TopicsTensor decomposition and applications · Advanced Optimization Algorithms Research · Matrix Theory and Algorithms
