DC Field | Value | Language |
---|---|---|
dc.contributor.advisor | Lee, Chang-Ock | - |
dc.contributor.advisor | 이창옥 | - |
dc.contributor.author | Nam, Chang-Min | - |
dc.contributor.author | 남창민 | - |
dc.date.accessioned | 2013-09-12T02:33:54Z | - |
dc.date.available | 2013-09-12T02:33:54Z | - |
dc.date.issued | 2011 | - |
dc.identifier.uri | http://library.kaist.ac.kr/search/detail/view.do?bibCtrlNo=467724&flag=dissertation | - |
dc.identifier.uri | http://hdl.handle.net/10203/181621 | - |
dc.description | 학위논문(석사) - 한국과학기술원 : 수리과학과, 2011.2, [ ii, 16 p. ] | - |
dc.description.abstract | In this thesis, we discuss an image denoising problem and a parallel algorithm solving elliptic partial differential equations. Image denoising problem can be formulated as a minimization problem. As an admissible space of the minimization problem, we consider the space of functions of bounded variation, BV (Ω) which contains discontinuous functions. The proof of the existence and uniqueness of the minimizer in BV (Ω) is presented in this thesis. To get an approximate solution numerically, we present the half quadratic algorithm, which includes solving an elliptic partial differential equation. Then we propose the FETI-DP (dual-primal finite element tearing and interconnecting) method to implement the algorithm parallelly. The FETI-DP method is a non-overlapping domain decomposition method which is known to be the most scalable dual iterative substructuring method. | eng |
dc.language | eng | - |
dc.publisher | 한국과학기술원 | - |
dc.subject | domain decomposition | - |
dc.subject | FETI-DP | - |
dc.subject | 영역분할법 | - |
dc.subject | ROF 모델 | - |
dc.subject | ROF model | - |
dc.title | ROF denoising model and FETI-DP methods | - |
dc.title.alternative | ROF 잡티제거 모델과 FETI-DP 영역분할법 | - |
dc.type | Thesis(Master) | - |
dc.identifier.CNRN | 467724/325007 | - |
dc.description.department | 한국과학기술원 : 수리과학과, | - |
dc.identifier.uid | 020093164 | - |
dc.contributor.localauthor | Lee, Chang-Ock | - |
dc.contributor.localauthor | 이창옥 | - |
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