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    Created: 2007-12-12 11:31:23
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Christian Schulte. Comparing Trailing and Copying for Constraint Programming. In D. De Schreye editor, 16th International Conference on Logic Programming (ICLP '99), November 29 - December 4, Pages 275-289, MIT Press, Las Cruces, New Mexico, USA, 1999. URL [Abstract] [Annote]
@InProceedings{Schulte:1999,
      AUTHOR = {Schulte, Christian},
      TITLE = {Comparing Trailing and Copying for Constraint Programming},
      YEAR = {1999},
      BOOKTITLE = {16th International Conference on Logic Programming (ICLP '99), November 29 - December 4},
      PAGES = {275-289},
      EDITOR = {De Schreye, D.},
      ADDRESS = {Las Cruces, New Mexico, USA},
      PUBLISHER = {MIT Press},
      URL = {ftp://ftp.ps.uni-sb.de/pub/papers/ProgrammingSysLab/copying.ps.gz},
      ABSTRACT = {A central service of a constraint programming system is search. In almost all constraint programming systems search is based on trailing, which is well understood and known to be efficient. This paper compares trailing to copying. Copying offers more expressiveness as required by parallel and concurrent systems. However, little is known how trailing compares to copying as it comes to implementation effort, runtime efficiency, and memory requirements. This paper discusses these issues. Execution speed of a copying-based system is shown to be competitive with state-of-the-art trailing-based systems. For the first time, a detailed analysis and comparison with respect to memory usage is made. It is shown how recomputation decreases memory requirements which can be prohibitive for large problems with copying alone. The paper introduces an adaptive recomputation strategy that is shown to speedup search while keeping memory consumption low. It is demonstrated that copying with recomputation outperforms trailing on large problems with respect to both space and time.},
      ANNOTE = {COLIURL : Schulte:1999:CTC.pdf Schulte:1999:CTC.ps}
}
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