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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Shenshen Gu Rui Cui |
| Copyright Year | 2014 |
| Description | Author affiliation: Sch. of Mechatron. Eng. & Autom., Shanghai Univ., Shanghai, China (Shenshen Gu; Rui Cui) |
| Abstract | Binary quadratic programming (BQP) is a typical integer programming problem widely applied in the field of signal processing, economy, management and engineering. However, it's NP-hard and lacks efficient algorithms. Due to this reason, in this paper, a novel polynomial algorithm to linearly constrained binary quadratic programming problems with Q being a five-diagonal matrix is focused by combining the basic algorithm proposed in [1], [2], [3] and the dynamic programming method. We first briefly deduce the basic algorithm. Then, the algorithm is proposed to solve this special problem. In addition, a specific example is presented to illustrate the new algorithm. Lastly, we demonstrate its polynomial feature as well as its high efficiency. |
| Starting Page | 366 |
| Ending Page | 372 |
| File Size | 598548 |
| Page Count | 7 |
| File Format | |
| ISBN | 9781479936496 |
| e-ISBN | 9781479936502 |
| DOI | 10.1109/ICICIP.2014.7010280 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2014-08-18 |
| Publisher Place | China |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Algorithm design and analysis Heuristic algorithms Signal processing algorithms Educational institutions Polynomials Dynamic programming Quadratic programming |
| Content Type | Text |
| Resource Type | Article |
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