OKlibrary  0.2.1.6
OKsolver2002.hpp File Reference

Plans for the Maxima/Lisp specification of the original OKsolver. More...

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Detailed Description

Plans for the Maxima/Lisp specification of the original OKsolver.

Todo:
Differences to the original OKsolver2002
  • On weak_php_fcs(5,4) the C-OKsolver needs 17 nodes and depth 6,
    Pigeonhole> OKsolver_2002-O3-DNDEBUG php54_w.cnf
    s UNSATISFIABLE
    c sat_status=0 initial_maximal_clause_length=4 initial_number_of_variables=20 initial_number_of_clauses=45 initial_number_of_literal_occurrences=100 running_time(s)=0.0 number_of_nodes=17 number_of_single_nodes=0 number_of_quasi_single_nodes=6 number_of_2-reductions=23 number_of_pure_literals=5 number_of_autarkies=0 number_of_missed_single_nodes=0 max_tree_depth=6 number_of_table_enlargements=0 reduced_maximal_clause_length=0 reduced_number_of_variables=0 reduced_number_of_clauses=0 reduced_number_of_literal_occurrences=0 number_of_1-autarkies=72 number_of_initial_unit-eliminations=0 number_of_new_2-clauses=0 maximal_number_of_added_2-clauses=0 initial_number_of_2-clauses=40 file_name=php54_w.cnf
       
    while the Maxima-OKsolver needs 15 nodes and depth 5.
  • The Maxima-tree is (labelled):
    okt_php_54 : OKsolver_2002_st(weak_php_fcs(5,4));
    [- php(1, 1), [- php(2, 2), [false], [false]],
     [- php(1, 2), [- php(2, 1), [false], [false]],
      [- php(2, 3), [false], 
       [- php(2, 4), [false],
        [- php(3, 1), [false], [false]]]]]];
       
    This tree seems correct.
  • We need to get the tree also with the distances, so that we can collapse the inf-branches.
    okat_php_54 : OKsolver_2002_ast(weak_php_fcs(5,4));
    [[- php(1, 1), [[0.2, 0.8], [1, 5]]], 
      [[- php(2, 2), [[0, inf]]], [false], [false]],
      [[- php(1, 2), [[1, 0.8], [1, 5]]], 
        [[- php(2, 1), [[0, inf]]], [false], [false]],
        [[- php(2, 3), [[0, inf]]], [false], 
          [[- php(2, 4), [[0, inf]]], [false],
            [[- php(3, 1), [[0, inf]]], [false], [false]]]]]]
    count_inf_branches(okat_php_54, 0);
    5
    okcat_php_54 : collapse_inf_branches(okat_php_54, 0);
    [[- php(1, 1), [[0.2, 0.8], [1, 5]]], [false],
      [[- php(1, 2), [[1, 0.8], [1, 5]]], [false], [false]]]
       
  • It seems that at the deep right end the C-OKsolver added a further branching, namely a quasi-single node (the Maxima-solver has only 5 quasi-single nodes, while the C-solver has 6).
  • Could be chance (due to the quasi-single-nodes).
  • But we must check; we need the C-OKsolver to output the branching literals. See "OUTPUTTREEDATAXML" in Solvers/OKsolver/SAT2002/plans/general.hpp.
  • And we need to develop methods for analysing trees like the above; adorning it with further data like
    1. the number of 2-reductions (obtained by amending the tree as r_2-splitting tree and adding the sizes of partial assignments).
    2. the number of quasi-single-nodes
    etc.
  • For weak_php_fcs(6,5) the problem gets further pronounced: Here we have 79 nodes versus 89 nodes, and a depth of 9 versus 10.
  • And with weak_php_fcs(7,6) we have 479 nodes and height 14 against 539 nodes and height 15.
  • So there seems to be a systematic problem.
  • By the way, we should also collect data on weak (and strong) php:
    1. Such data should perhaps be systematically collected somewhere. Perhaps in part Experimentation.
    2. First weak_php_fcs(m+1,m), for m >= 4.
    3. For m = 3 we have 3 nodes, height = 1 = levelled height. Likely we should exclude m <= 3 due to "irregularity".
    4. The levelled height of the trees found by the Maxima-OKsolver is 2,3,4 for the above three formulas. Since the levelled height of weak_php_fcs(m+1,m) is m, and the OKsolver uses r_2, this seems optimal. It should be m-2 in general.
    5. Height is 5, 9, 14. Could be quadratic (then (8,7) -> 20). And yes, the C-OKsolver yields 6,10,15,21,28,36,45. So the guess is that the first differences are 4,5,6, ...
    6. For the number of nodes we have 17, 79, 479. One would expect these numbers to be somewhat "random".
    7. The optimal numbers of nodes for r_2-splitting trees are:
      1. weak_php_fcs(3,2) : 1 node (height 0)
      2. weak_php_fcs(4,3) : 3 nodes (height 1)
      3. weak_php_fcs(5,4) : 11 nodes (height 3); tree is
        [php(1, 1), 
          [php(1, 2), [php(2, 1), [false], [false]], 
            [php(2, 1), [false], [false]]],
          [php(2, 2), [false], [false]]]
               
        (The OKsolver-tree above needed more nodes since it used the implicit reductions when 2-CLSs were detected; after collapsing these reductions then the tree only has 5 nodes.)
Todo:
Annotated tree output
  • The tree output by function OKsolver_2002_ast (an annotated splitting tree) should mirror the information output by the OKsolver_2002 when compile-time option OUTPUTTREEDATAXML is used.
Todo:
Improving the implementation
  • Currently, the Maxima implementation of the OKsolver is basically unusable on just a bit bigger instances, since it's so slow.
  • The main bottleneck should be the generalised_ucp_ple1, together with the look-ahead heuristics.
  • Using clause-lists instead of clause-sets should be the first step.
  • And then likely we need an instance of the general DPLL algorithm using the clause-variable-graph datastructure (so that UCP becomes linear time).
Todo:
Tree pruning ("intelligent backtracking")
  • We need to get the variables used in a refutation.
  • Then tree-pruning follows straight.
Todo:
Local learning
  • The basic problem with local learning is, which binary clauses to add.
  • One possibility is, of course, all possible binary clauses.
  • We need also to figure out the scheme which was to be intended finally, a kind of "canonically minimal scheme".
  • The added binary clauses are best kept in an additional clause-set (for each recursion).
Todo:
Adding look-ahead autarky clauses
  • An experimental feature of the OKsolver-2002 is the use of "near-autarkies", that is, if a partial assignment phi_x, obtained by extending x -> 1, yields exactly one new clause C, then for each a in C the binary clause {-a,x} is added.
  • This addition is a form of "local learning" (happens only at the residual clause-sets).
  • Thus it can be combined with local learning (see above).
  • Problematic the non-confluence (i.e., the dependency on the order we run through the variables).
  • Apparently this addition cannot be combined with tree pruning.
  • Also with counting satisfying assignments this is not compatible.
  • One could allow more new clauses, analysing for example whether a literal occurs in all of them (then again we would obtain a binary clause).
Todo:
Counting satisfying assignments
  • At this level it should be easy to add counting of satisfying assignments.

Definition in file OKsolver2002.hpp.