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Book Chapter: A Hybrid Numerical Algorithm for Computing Page Rank
| Title | A Hybrid Numerical Algorithm for Computing Page Rank |
|---|---|
| Authors | |
| Issue Date | 2005 |
| Publisher | Springer. |
| Citation | A Hybrid Numerical Algorithm for Computing Page Rank. In Zhang, W, Tong, W, Chen, Z, et al. (Eds.), Current Trends in High Performance Computing and Its Applications: Proceedings of the International Conference on High Performance Computing and Applications, August 8–10, 2004, Shanghai, P.R. China, p. 257-264. Berlin: Springer, 2005 How to Cite? |
| Abstract | The computation of PageRank is an important issue in Internet. Especially one has to handle a huge size of web with its size growing rapidly. In this paper, we present an adaptive numerical method for solving the PageRank problem. The numerical method combines the Jacobi Over-Relaxation (JOR) method with the evolutionary algorithm. Numerical examples based on simulations are given to demonstrate the efficiency of the proposed method. |
| Persistent Identifier | http://hdl.handle.net/10722/123628 |
| ISBN |
| DC Field | Value | Language |
|---|---|---|
| dc.contributor.author | Ching, WK | en_HK |
| dc.contributor.author | Ng, KP | en_HK |
| dc.contributor.author | Yuen, WO | en_HK |
| dc.date.accessioned | 2010-09-26T12:16:39Z | - |
| dc.date.available | 2010-09-26T12:16:39Z | - |
| dc.date.issued | 2005 | en_HK |
| dc.identifier.citation | A Hybrid Numerical Algorithm for Computing Page Rank. In Zhang, W, Tong, W, Chen, Z, et al. (Eds.), Current Trends in High Performance Computing and Its Applications: Proceedings of the International Conference on High Performance Computing and Applications, August 8–10, 2004, Shanghai, P.R. China, p. 257-264. Berlin: Springer, 2005 | en_HK |
| dc.identifier.isbn | 9783540257851 | - |
| dc.identifier.uri | http://hdl.handle.net/10722/123628 | - |
| dc.description.abstract | The computation of PageRank is an important issue in Internet. Especially one has to handle a huge size of web with its size growing rapidly. In this paper, we present an adaptive numerical method for solving the PageRank problem. The numerical method combines the Jacobi Over-Relaxation (JOR) method with the evolutionary algorithm. Numerical examples based on simulations are given to demonstrate the efficiency of the proposed method. | - |
| dc.language | eng | en_HK |
| dc.publisher | Springer. | en_HK |
| dc.relation.ispartof | Current Trends in High Performance Computing and Its Applications: Proceedings of the International Conference on High Performance Computing and Applications, August 8–10, 2004, Shanghai, P.R. China | en_HK |
| dc.title | A Hybrid Numerical Algorithm for Computing Page Rank | en_HK |
| dc.type | Book_Chapter | en_HK |
| dc.identifier.email | Ching, WK: wching@HKUCC.hku.hk | en_HK |
| dc.identifier.email | Ng, KP: kkpong@hkusua.hku.hk | en_HK |
| dc.identifier.email | Yuen, WO: h9923304@graduate.hku.hk | en_HK |
| dc.identifier.authority | Ching, WK=rp00679 | en_HK |
| dc.description.nature | link_to_subscribed_fulltext | - |
| dc.identifier.doi | 10.1007/3-540-27912-1_28 | - |
| dc.identifier.hkuros | 97997 | en_HK |
| dc.identifier.spage | 257 | en_HK |
| dc.identifier.epage | 264 | en_HK |
| dc.publisher.place | Berlin | - |