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논문 기본 정보

자료유형
학술저널
저자정보
JAEHYUN PARK (PUKYONG NATIONAL UNIVERSITY) YUNJU PARK (KOREA SCIENCE ACADEMY OF KOREA ADVANCED INSTITUTE OF SCIENCE AND TECHNOLOGY)
저널정보
한국산업응용수학회 JOURNAL OF THE KOREAN SOCIETY FOR INDUSTRIAL AND APPLIED MATHEMATICS Journal of the Korean Society for Industrial and Applied Mathematics Vol.19 No.2
발행연도
2015.6
수록면
171 - 188 (18page)

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In this paper, the efficient column-wise/row-wise lattice reduction (LR) updating and downdating methods are developed and their complexities are analyzed. The well-known LLL algorithm, developed by Lenstra, Lenstra, and Lov´asz, is considered as a LR method. When the column or the row is appended/deleted in the given lattice basis matrix H, the proposed updating and downdating methods modify the preconditioning matrix that is primarily computed for the LR with H and provide the initial parameters to reduce the updated lattice basis matrix efficiently. Since the modified preconditioning matrix keeps the information of the original reduced lattice bases, the redundant computational complexities can be eliminated when reducing the lattice by using the proposed methods. In addition, the rounding error analysis of the proposed methods is studied. The numerical results demonstrate that the proposed methods drastically reduce the computational load without any performance loss in terms of the condition number of the reduced lattice basis matrix.

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ABSTRACT
1. INTRODUCTION
2. LATTICE REDUCTION: LLL ALGORITHM
3. LLL COLUMN-WISE UPDATING AND DOWNDATING
4. LLL ROW-WISE UPDATING AND DOWNDATING
5. ROUNDING ERROR ANALYSIS
6. NUMERICAL RESULTS
7. CONCLUDING REMARKS
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