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Volumn 3050, Issue , 2004, Pages 73-86

Computational experiments with minimum-distance controlled perturbation methods

Author keywords

Controlled perturbation methods; Linear programming; Quadratic programming; Statistical disclosure control

Indexed keywords

LINEAR PROGRAMMING; OPTIMIZATION; QUADRATIC PROGRAMMING;

EID: 28044456017     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-540-25955-8_6     Document Type: Article
Times cited : (3)

References (16)
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    • in press (2004). Previously appeared as Research Report DR 2003/10, Dept. of Statistics and Operations Research, Universitat Politècnica de Catalunya Available from the author webpage
    • Castro, J.: Quadratic interior-point methods in statistical disclosure control, Computational Management Science, in press (2004). Previously appeared as Research Report DR 2003/10, Dept. of Statistics and Operations Research, Universitat Politècnica de Catalunya (2003). Available from the author webpage.
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    • Castro, J.: Minimum-distance controlled perturbation methods for large-scale tabular data protection. European Journal of Operational Research, accepted subject to revision (2003). An extended version previously appeared as Research Report DR 2003/14, Dept. of Statistics and Operations Research, Universitat Politècnica de Catalunya (2003). Available from the author webpage.
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* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.