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CP
2007
Springer
14 years 1 months ago
Reformulating CSPs for Scalability with Application to Geospatial Reasoning
While many real-world combinatorial problems can be advantageously modeled and solved using Constraint Programming, scalability remains a major issue in practice. Constraint models...
Kenneth M. Bayer, Martin Michalowski, Berthe Y. Ch...
SAT
2009
Springer
91views Hardware» more  SAT 2009»
14 years 1 months ago
VARSAT: Integrating Novel Probabilistic Inference Techniques with DPLL Search
Probabilistic inference techniques can be used to estimate variable bias, or the proportion of solutions to a given SAT problem that fix a variable positively or negatively. Metho...
Eric I. Hsu, Sheila A. McIlraith
DAC
2002
ACM
14 years 8 months ago
Solving difficult SAT instances in the presence of symmetry
Research in algorithms for Boolean satisfiability and their efficient implementations [26, 8] has recently outpaced benchmarking efforts. Most of the classic DIMACS benchmarks fro...
Fadi A. Aloul, Arathi Ramani, Igor L. Markov, Kare...
ENDM
2000
174views more  ENDM 2000»
13 years 7 months ago
Hybrid Constraints in Automated Model Synthesis and Model Processing
Both parametric design tasks and analysis tasks of technical systems have a similar problem setting: The structure of the system to be configured or analyzed is defined already. W...
Klaus-Ulrich Leweling, Benno Stein
CCE
2004
13 years 7 months ago
Computational studies using a novel simplicial-approximation based algorithm for MINLP optimization
Significant advances have been made in the last two decades for the effective solution of mixed integer non-linear programming (MINLP) problems, mainly by exploiting the special s...
Vishal Goyal, Marianthi G. Ierapetritou