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Tradeoffs in the complexity of backdoors to satisfiability: dynamic sub-solvers and learning during...

Tradeoffs in the complexity of backdoors to satisfiability: dynamic sub-solvers and learning during...

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_proquest_miscellaneous_1551082644

Tradeoffs in the complexity of backdoors to satisfiability: dynamic sub-solvers and learning during search

About this item

Full title

Tradeoffs in the complexity of backdoors to satisfiability: dynamic sub-solvers and learning during search

Publisher

Cham: Springer International Publishing

Journal title

Annals of mathematics and artificial intelligence, 2014-04, Vol.70 (4), p.399-431

Language

English

Formats

Publication information

Publisher

Cham: Springer International Publishing

More information

Scope and Contents

Contents

There has been considerable interest in the identification of structural properties of combinatorial problems that lead to efficient algorithms for solving them. Some forms of structure, such as properties of the underlying constraint graph, are “easily” identifiable. Others, such as backdoor sets, are of interest because they capture key aspects o...

Alternative Titles

Full title

Tradeoffs in the complexity of backdoors to satisfiability: dynamic sub-solvers and learning during search

Authors, Artists and Contributors

Identifiers

Primary Identifiers

Record Identifier

TN_cdi_proquest_miscellaneous_1551082644

Permalink

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_proquest_miscellaneous_1551082644

Other Identifiers

ISSN

1012-2443

E-ISSN

1573-7470

DOI

10.1007/s10472-014-9407-9

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