Frontiers of Mathematics in China >
Approximation algorithms for nonnegative polynomial optimization problems over unit spheres
Received date: 26 Jul 2016
Accepted date: 15 Feb 2017
Published date: 27 Nov 2017
Copyright
We consider approximation algorithms for nonnegative polynomial optimization problems over unit spheres. These optimization problems have wide applications e.g., in signal and image processing, high order statistics, and computer vision. Since these problems are NP-hard, we are interested in studying on approximation algorithms. In particular, we propose some polynomial-time approximation algorithms with new approximation bounds. In addition, based on these approximation algorithms, some efficient algorithms are presented and numerical results are reported to show the efficiency of our proposed algorithms.
Xinzhen ZHANG , Guanglu ZHOU , Louis CACCETTA , Mohammed ALQAHTANI . Approximation algorithms for nonnegative polynomial optimization problems over unit spheres[J]. Frontiers of Mathematics in China, 2017 , 12(6) : 1409 -1426 . DOI: 10.1007/s11464-017-0644-1
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