Many finite discrete problems can be modeled as satisfiability (SAT) problems. There are different types of SAT-problems. Most common are CD-SAT-formulas which consist of a conjunctions of disjunctions of Boolean variables and this expression is equal to 1. Such disjunctions are also called clauses. New CDC-SAT-formulas are conjunctions of disjunctions of conjunctions of Boolean variables and allow a more compact specification of the problem. Besides of special algorithms for SAT-problems (SAT-solvers) ternary vector lists are an appropriate data structure to express and solve all such problems. SAT-problems belong to the class of NP-complete problems. The modeling and solution of many SAT-problems will be explored. Studied problem classes are placement problems, covering problems, path problems, and coloring problems. Some of the selected examples have their root many centuries ago, but also very recent research results will be presented. Hints for efficient solutions using a single central processing unit (CPU), several CPU-cores of a multi-processor, or even the huge number of cores of a graphical processing unit (GPU) will be given.


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© Springer International Publishing AG 2019

Authors and Affiliations

  1. 1.Computing and Information TechnologyUniversity of the West Indies (retired)ChemnitzGermany
  2. 2.Computer ScienceTU Bergakademie Freiberg (retired)ChemnitzGermany

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