Sandwiches for promise constraint satisfaction
Algebra Universalis, ISSN: 1420-8911, Vol: 82, Issue: 1
2021
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Example: if you select the 1-year option for an article published in 2019 and a metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019. If you select the 3-year option for the same article published in 2019 and the metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019, 2018 and 2017.
Citation Benchmarking is provided by Scopus and SciVal and is different from the metrics context provided by PlumX Metrics.
Article Description
Promise Constraint Satisfaction Problems (PCSP) were proposed recently by Brakensiek and Guruswami as a framework to study approximations for Constraint Satisfaction Problems (CSP). Informally a PCSP asks to distinguish between whether a given instance of a CSP has a solution or not even a specified relaxation can be satisfied. All currently known tractable PCSP s can be reduced in a natural way to tractable CSP s. In 2019 Barto presented an example of a PCSP over Boolean structures for which this reduction requires solving a CSP over an infinite structure. We give a first example of a PCSP over Boolean structures which reduces to a tractable CSP over a structure of size 3 but not smaller. Further we investigate properties of PCSP s that reduce to systems of linear equations or to CSP s over structures with semilattice or majority polymorphism.
Bibliographic Details
http://www.scopus.com/inward/record.url?partnerID=HzOxMe3b&scp=85099869951&origin=inward; http://dx.doi.org/10.1007/s00012-020-00702-5; http://link.springer.com/10.1007/s00012-020-00702-5; http://link.springer.com/content/pdf/10.1007/s00012-020-00702-5.pdf; http://link.springer.com/article/10.1007/s00012-020-00702-5/fulltext.html; https://dx.doi.org/10.1007/s00012-020-00702-5; https://link.springer.com/article/10.1007/s00012-020-00702-5
Springer Science and Business Media LLC
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