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Solving $L_1$-CTA in 3D tables by an interior-point method for primal block-angular problems

Autor
Castro, J.; Cuesta, J.
Tipus d'activitat
Document cientificotècnic
Data
2011-03
Codi
DR 2011/01
Projecte finançador
MTM2009-08747 Very large-scale optimization for data privacy
Repositori
http://hdl.handle.net/2117/14438 Obrir en finestra nova
URL
http://www-eio.upc.es/~jcastro/publications/reports/dr2011-01.pdf Obrir en finestra nova
Resum
The purpose of the field of statistical disclosure control is to avoid that no confidential information can be derived from statistical data released by, mainly, national statistical agencies. Controlled tabular adjustment (CTA) is an emerging technique for the protection of statistical tabular data. Given a table to be protected, CTA looks for the closest safe table. In this work we focus on CTA for three-dimensional tables using the L1 norm for the distance between the original and protected t...
Citació
Castro, J.; Cuesta, J. "Solving $L_1$-CTA in 3D tables by an interior-point method for primal block-angular problems". 2011.
Grup de recerca
GNOM - Grup d´Optimització Numèrica i Modelització

Participants

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