On SAT instance classes and a method for reliable performance experiments with SAT solvers

Author:

Brglez Franc,Li Xiao Yu,Stallmann Matthias F.

Publisher

Springer Science and Business Media LLC

Subject

Applied Mathematics,Artificial Intelligence

Reference52 articles.

1. S. Baase and A. Van Gelder, Computer Algorithms, 3rd edition (Addison-Wesley, Reading, MA, 2000).

2. G.E.P. Box, W.G. Hunter and J.S. Hunter, Statistics for Experimenters: An Introduction to Design, Data Analysis and Model Building (Wiley, 1978).

3. F. Brglez, Design of experiments to evaluate CAD algorithms: which improvements are due to improved heuristic and which are merely due to chance?, Technical Report 1998-TR@CBL-04-Brglez, CBL, CS Dept., NCSU, Raleigh, NC (April 1998). Also available at http://www.cbl.ncsu.edu/publications/#1998-TR@CBL-04-Brglez.

4. F. Brglez and R. Drechsler, Design of experiments in CAD: Context and new data sets for ISCAS’99, in: Proc. of IEEE 1999 International Symposium on Circuits and Systems — ISCAS’99 (May 1999). A reprint is accessible from http://www.cbl.ncsu.edu/publications/#I999-ISCAS-Brglez.

5. F. Brglez, X.Y. Li and M. Stallmann, The role of a skeptic agent in testing and benchmarking of SAT algorithms, in: Proc. of Fifth International Symposium on the Theory and Applications of Satisfiability Testing, http://www.cbl.ncsu.edu/publications/ (May 2002).

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