Abstract
This paper describes continuing progress on the development of a repository of transformation rules relevant to indefinite integration. The methodology, however, is not restricted to integration. Several optimization goals are being pursued, including achieving the best form for the output, reducing the size of the repository while retaining its scope, and minimizing the number of steps required for the evaluation process. New optimizations for expression size are presented. © 2010 Springer-Verlag Berlin Heidelberg.
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CITATION STYLE
Jeffrey, D. J., & Rich, A. D. (2010). Reducing expression size using rule-based integration. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 6167 LNAI, pp. 234–246). https://doi.org/10.1007/978-3-642-14128-7_20
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