Title
Approximate Model Counting via Extension Rule.
Abstract
Resolution principle is an important rule of inference in theorem proving. Model counting using extension rule is considered as a counterpart to resolution-based methods for model counting. Based on the exact method, this paper proposes two approximate model counting algorithms, and proves the time complexity of the algorithms. Experimental results show that they have good performance in the accuracy and efficiency.
Year
DOI
Venue
2015
10.1007/978-3-319-19647-3_22
Lecture Notes in Computer Science
Keywords
DocType
Volume
Propositional satisfiability,Model counting,Resolution principle,Extension rule
Conference
9130
ISSN
Citations 
PageRank 
0302-9743
0
0.34
References 
Authors
11
3
Name
Order
Citations
PageRank
Jinyan Wang110.69
Minghao Yin23125.97
Jingli Wu333.15