This HTML5 document contains 44 embedded RDF statements represented using HTML+Microdata notation.

The embedded RDF content will be recognized by any processor of HTML5 Microdata.

Namespace Prefixes

PrefixIRI
dctermshttp://purl.org/dc/terms/
dbohttp://dbpedia.org/ontology/
foafhttp://xmlns.com/foaf/0.1/
n5https://global.dbpedia.org/id/
dbthttp://dbpedia.org/resource/Template:
rdfshttp://www.w3.org/2000/01/rdf-schema#
rdfhttp://www.w3.org/1999/02/22-rdf-syntax-ns#
owlhttp://www.w3.org/2002/07/owl#
wikipedia-enhttp://en.wikipedia.org/wiki/
dbphttp://dbpedia.org/property/
dbchttp://dbpedia.org/resource/Category:
provhttp://www.w3.org/ns/prov#
xsdhhttp://www.w3.org/2001/XMLSchema#
wikidatahttp://www.wikidata.org/entity/
dbrhttp://dbpedia.org/resource/

Statements

Subject Item
dbr:Boolean_satisfiability_algorithm_heuristics
rdfs:label
Boolean satisfiability algorithm heuristics
rdfs:comment
The Boolean satisfiability problem (frequently abbreviated SAT) can be stated formally as:given a Boolean expression with variables, finding an assignment of the variables such that is true. It is seen as the canonical NP-complete problem. While no efficient algorithm is known to solve this problem in the general case, there are certain heuristics, informally called 'rules of thumb' in programming, that can usually help solve the problem reasonably efficiently.
dcterms:subject
dbc:Boolean_algebra
dbo:wikiPageID
48777793
dbo:wikiPageRevisionID
1115292947
dbo:wikiPageWikiLink
dbr:Deterministic_algorithm dbr:Optimization_problem dbr:Adjacency_list dbr:Depth-first_search dbr:Cache_misses dbr:Adjacency_matrix dbr:Conjunctive_normal_form dbr:GSAT dbr:Cache_locality dbr:Randomized_algorithm dbr:Circuit_satisfiability_problem dbr:Heuristic dbr:DPLL_algorithm dbr:Simulated_annealing dbr:Tseytin_transformation dbr:WalkSAT dbr:Conflict-Driven_Clause_Learning dbr:Resolution_(logic) dbr:Maximum_satisfiability_problem dbr:NP-complete dbr:PCP_theorem dbr:Greedy_algorithms dbr:Tractable_problem dbr:Strongly_connected_components dbr:Boolean_satisfiability_problem dbr:AI_planning dbr:MAX-SAT dbr:2-SAT dbc:Boolean_algebra
owl:sameAs
n5:2MpMk wikidata:Q25111867
dbp:wikiPageUsesTemplate
dbt:Main dbt:Who%3F dbt:Orphan dbt:Reflist
dbo:abstract
The Boolean satisfiability problem (frequently abbreviated SAT) can be stated formally as:given a Boolean expression with variables, finding an assignment of the variables such that is true. It is seen as the canonical NP-complete problem. While no efficient algorithm is known to solve this problem in the general case, there are certain heuristics, informally called 'rules of thumb' in programming, that can usually help solve the problem reasonably efficiently. Although no known algorithm is known to solve SAT in polynomial time, there are classes of SAT problems which do have efficient algorithms that solve them. These classes of problems arise from many practical problems in AI planning, circuit testing, and software verification. Research on constructing efficient SAT solvers has been based on various principles such as resolution, search, local search and random walk, binary decisions, and Stalmarck's algorithm. Some of these algorithms are deterministic, while others may be stochastic. As there exist polynomial-time algorithms to convert any Boolean expression to conjunctive normal form such as Tseitin's algorithm, posing SAT problems in CNF does not change their computational difficulty. SAT problems are canonically expressed in CNF because CNF has certain properties that can help prune the search space and speed up the search process.
prov:wasDerivedFrom
wikipedia-en:Boolean_satisfiability_algorithm_heuristics?oldid=1115292947&ns=0
dbo:wikiPageLength
13904
foaf:isPrimaryTopicOf
wikipedia-en:Boolean_satisfiability_algorithm_heuristics