Instances for the Model Counting Competition 2020 - Track 1 (Model Counting) - Track 2 (Weighted Model Counting) - Track 3 (Projected Model Counting) The even instances (trackX_000.mcc2020_cnf, trackX_000.mcc2020_cnf, ...) were made public for all participants during the testing phase of the solvers, whereas the private instances (trackX_001.mcc2020_cnf, trackX_003.mcc2020_cnf, ...) were used for the final evaluation and disclosed after the submission. For details, we refer to: https://mccompetition.org/2020/mc_description. Instances originate from various publicly available data sets and submissions made after a call for benchmarks. The full instances from which we selected is available on Zenodo under Model Counting Competition 2020: ...
International audienceThe Model Checking Contest (MCC) is an annual competition between software too...
Model counting is a fundamental problem which has been influential in many applications, from artifi...
Abstract. We introduce ApproxCount, an algorithm that approximates the number of satisfying assignme...
Instances for the Model Counting Competition 2020 - Track 1 (Model Counting) - Track 2 (Weighted Mo...
The dataset contains the submissions that have been evaluated in the Model Counting Competition 2020...
The dataset contains all instances that the organizers of the competition received or collected duri...
These instances mainly consist of the formulas that have been used in the evaluation of recent model...
The Model Checking Contest (MCC) is an annual competition of software tools for model checking. Tool...
International audienceCreated in 2011, the Model Checking Contest (MCC) is an annual competition ded...
Created in 2011, the Model Checking Contest (MCC) is an annual competition dedicated to provide a fa...
This paper introduces mcc4mcc, the Model Checker Collection for the Model Checking Contest, a tool t...
Benchmarks used for the paper Johannes K. Fichte, Markus Hecher, Stefan Woltran, Markus Hecher: Wei...
Abstract. The use of data analysis competitions for selecting the most appropriate model for a probl...
International audienceBased on the 2006 edition of the Model Size Metrics work- shop, we believe tha...
Submission to model counting competition 2021, unweighted and weighted tracks by Tuukka Korhonen and...
International audienceThe Model Checking Contest (MCC) is an annual competition between software too...
Model counting is a fundamental problem which has been influential in many applications, from artifi...
Abstract. We introduce ApproxCount, an algorithm that approximates the number of satisfying assignme...
Instances for the Model Counting Competition 2020 - Track 1 (Model Counting) - Track 2 (Weighted Mo...
The dataset contains the submissions that have been evaluated in the Model Counting Competition 2020...
The dataset contains all instances that the organizers of the competition received or collected duri...
These instances mainly consist of the formulas that have been used in the evaluation of recent model...
The Model Checking Contest (MCC) is an annual competition of software tools for model checking. Tool...
International audienceCreated in 2011, the Model Checking Contest (MCC) is an annual competition ded...
Created in 2011, the Model Checking Contest (MCC) is an annual competition dedicated to provide a fa...
This paper introduces mcc4mcc, the Model Checker Collection for the Model Checking Contest, a tool t...
Benchmarks used for the paper Johannes K. Fichte, Markus Hecher, Stefan Woltran, Markus Hecher: Wei...
Abstract. The use of data analysis competitions for selecting the most appropriate model for a probl...
International audienceBased on the 2006 edition of the Model Size Metrics work- shop, we believe tha...
Submission to model counting competition 2021, unweighted and weighted tracks by Tuukka Korhonen and...
International audienceThe Model Checking Contest (MCC) is an annual competition between software too...
Model counting is a fundamental problem which has been influential in many applications, from artifi...
Abstract. We introduce ApproxCount, an algorithm that approximates the number of satisfying assignme...