




Description 
Funsat aims to be a reasonably efficient modern SAT solver that is easy to
integrate as a backend to other projects. SAT is NPcomplete, and thus has
reductions from many other interesting problems. We hope this implementation
is efficient enough to make it useful to solve mediumsize, realworld problem
mapped from another space. We also aim to test the solver rigorously to
encourage confidence in its output.
One particular nicetie facilitating integration of Funsat into other projects
is the efficient calculation of an unsatisfiable core for unsatisfiable
problems (see the Funsat.Resolution module). In the case a problem is
unsatisfiable, as a byproduct of checking the proof of unsatisfiability,
Funsat will generate a minimal set of input clauses that are also
unsatisfiable.
 07 Jun 2008 21:43:42: N.B. because of the use of mutable arrays in the ST
monad, the solver will actually give _wrong_ answers if you compile without
optimisation. Which is okay, 'cause that's really slow anyway.
 Bibliography

 ''Abstract DPLL and DPLL Modulo Theories''
 ''Chaff: Engineering an Efficient SAT solver''
 ''An Extensible SATsolver'' by Niklas Een, Niklas Sorensson
 ''Efficient Conflict Driven Learning in a Boolean Satisfiability Solver''
by Zhang, Madigan, Moskewicz, Malik
 ''SATMICRO: petit mais costaud!'' by Conchon, Kanig, and Lescuyer


Synopsis 




Interface



Run the DPLLbased SAT solver on the given CNF instance. Returns a
solution, along with internal solver statistics and possibly a resolution
trace. The trace is for checking a proof of Unsat, and thus is only
present then.



Solve with the default configuration defaultConfig.



The solution to a SAT problem is either an assignment or unsatisfiable.
 Constructors   Instances  


Verification



Verify the solution. In case of Sat, checks that the assignment is
wellformed and satisfies the CNF problem. In case of Unsat, runs a
resolutionbased checker on a trace of the SAT solver.



Constructors  SatError [(Clause, Either () Bool)]  Indicates a unsatisfactory assignment that was claimed
satisfactory. Each clause is tagged with its status
using Model.statusUnder.
 UnsatError ResolutionError  Indicates an error in the resultion checking process.

 Instances  


Configuration



Configuration parameters for the solver.
 Constructors  Cfg   configRestart :: !Int64  Number of conflicts before a restart.
 configRestartBump :: !Double  configRestart is altered after each
restart by multiplying it by this value.
 configUseVSIDS :: !Bool  If true, use dynamic variable ordering.
 configUseRestarts :: !Bool  

 Instances  



A default configuration based on the formula to solve.
 restarts every 100 conflicts
 requires 1.5 as many restarts after restarting as before, each time
 VSIDS to be enabled
 restarts to be enabled


Solver statistics



Constructors  Stats   statsNumConfl :: Int64  Number of conflicts since last restart.
 statsNumConflTotal :: Int64  Number of conflicts since beginning of solving.
 statsNumLearnt :: Int64  Number of learned clauses currently in DB (fluctuates because DB is
compacted every restart).
 statsAvgLearntLen :: Double  Avg. number of literals per learnt clause.
 statsNumDecisions :: Int64  Total number of decisions since beginning of solving.
 statsNumImpl :: Int64  Total number of unit implications since beginning of solving.


 Instances  



The show instance uses the wrapped string.
 Constructors   Instances  



Convert statistics to a nicetodisplay tabular form.



Converts statistics into a tabular, humanreadable summary.


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