DSpace at EWHA: NUMERICAL METHODS FOR SINGULAR VALUE DECOMPOSITION

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DC Field	Value	Language
dc.contributor.author	한정림	-
dc.creator	한정림	-
dc.date.accessioned	2016-08-25T04:08:37Z	-
dc.date.available	2016-08-25T04:08:37Z	-
dc.date.issued	1995	-
dc.identifier.other	OAK-000000022807	-
dc.identifier.uri	https://dspace.ewha.ac.kr/handle/2015.oak/180534	-
dc.identifier.uri	http://dcollection.ewha.ac.kr/jsp/common/DcLoOrgPer.jsp?sItemId=000000022807	-
dc.description.abstract	We compare the Block-Lanczos and the Davidson methods for computing a basis of a singular subspace associated with the smallest singular values of large matrices. In numerical experiments, we apply a large sparse matrix for the Block-Lanczos' and the Davidson's method.;Large matrix의 몇개의 가장 작은 singular value들과, 관련된 singular 부분공간의 기저를 계산하는데 있어서 Block-Lanczos 방법과 Davidson 방법을 비교한다. 실제로, large sparse 행렬을 Block-Lanczos 방법과 Davidson 방법에 적용시켜 본다.	-
dc.description.tableofcontents	ABSTRACT = 1 CONTENTS = 2 1. INTRODUCTION = 3 2. Block Lanczos method = 6 2.1 Block Bidiagonalization Algorithm = 7 2.2 2.2 Error Bounds For The Singular-Value Approximations = 11 3. Davidson method = 15 3.1 Algorithm = 15 3.2 Choice of preconditioning = 16 4. Numerical Algorithms and Example = 19 REFERENCE = 25 논문초록 = 27	-
dc.format	application/pdf	-
dc.format.extent	636398 bytes	-
dc.language	eng	-
dc.publisher	이화여자대학교 대학원	-
dc.subject	NUMERICAL	-
dc.subject	METHODS	-
dc.subject	SINGULAR	-
dc.subject	VALUE DECOMPOSITION	-
dc.title	NUMERICAL METHODS FOR SINGULAR VALUE DECOMPOSITION	-
dc.type	Master's Thesis	-
dc.format.page	27 p.	-
dc.identifier.thesisdegree	Master	-
dc.identifier.major	대학원 수학과	-
dc.date.awarded	1996. 2	-