Cargando…
On the Sparsity of XORs in Approximate Model Counting
Given a Boolean formula [Formula: see text], the problem of model counting, also referred to as #SAT, is to compute the number of solutions of [Formula: see text]. The hashing-based techniques for approximate counting have emerged as a dominant approach, promising achievement of both scalability and...
Autores principales: | Agrawal, Durgesh, Bhavishya, Meel, Kuldeep S. |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
2020
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7326560/ http://dx.doi.org/10.1007/978-3-030-51825-7_18 |
Ejemplares similares
-
Tinted, Detached, and Lazy CNF-XOR Solving and Its Applications to Counting and Sampling
por: Soos, Mate, et al.
Publicado: (2020) -
Approximate Counting of Minimal Unsatisfiable Subsets
por: Bendík, Jaroslav, et al.
Publicado: (2020) -
A Novel Single Neuron Perceptron with Universal Approximation and XOR Computation Properties
por: Lotfi, Ehsan, et al.
Publicado: (2014) -
Analysis of Functional Genomic Signals Using the XOR Gate
por: Yaragatti, Mahesh, et al.
Publicado: (2009) -
Maximum parsimony xor haplotyping by sparse dictionary selection
por: Elmas, Abdulkadir, et al.
Publicado: (2013)