Linear recurrence equation to analyzing the complexity of algorithms
Linear recurrence equation to analyzing the complexity of algorithms
dc.contributor.author | To, Tang Van | |
dc.date.accessioned | 2016-06-15T02:22:49Z | |
dc.date.available | 2016-06-15T02:22:49Z | |
dc.date.issued | 2009 | |
dc.description.abstract | Solving recurrence equation (Res) is an important technique in the analysis of algorithms. Especially for the divide and conquer algorithms, establishing the recurrence equations, solving them as well as finding the order of complexity will be discussed. | en_US |
dc.format.extent | 4 pages | en_US |
dc.format.mimetype | application/pdf | en_US |
dc.identifier.citation | International Journal of the Computer, the Internet and management 17.SP1 (March 2009), 17.1-17.4 | en_US |
dc.identifier.uri | https://repository.au.edu/handle/6623004553/17945 | |
dc.language.iso | eng | en_US |
dc.subject | Algorithms | en_US |
dc.subject | Solving recurrence equation | en_US |
dc.subject.other | International Journal of the Computer, the Internet and Management | |
dc.subject.other | International Journal of the Computer, the Internet and Management -- 2009 | |
dc.title | Linear recurrence equation to analyzing the complexity of algorithms | en_US |
dc.type | Text | en_US |
mods.genre | Journal Article | en_US |