'Weak Dependency Graph [60.0]'
------------------------------
Answer:           YES(?,O(n^1))
Input Problem:    innermost runtime-complexity with respect to
  Rules:
    {  a(c(a(x1))) -> c(a(c(x1)))
     , a(a(b(x1))) -> a(d(b(x1)))
     , a(b(x1)) -> b(a(a(x1)))
     , d(d(x1)) -> a(d(b(x1)))
     , b(b(x1)) -> b(c(x1))
     , a(d(c(x1))) -> c(a(x1))
     , b(c(x1)) -> a(a(a(x1)))}

Details:         
  We have computed the following set of weak (innermost) dependency pairs:
   {  a^#(c(a(x1))) -> c_0(a^#(c(x1)))
    , a^#(a(b(x1))) -> c_1(a^#(d(b(x1))))
    , a^#(b(x1)) -> c_2(b^#(a(a(x1))))
    , d^#(d(x1)) -> c_3(a^#(d(b(x1))))
    , b^#(b(x1)) -> c_4(b^#(c(x1)))
    , a^#(d(c(x1))) -> c_5(a^#(x1))
    , b^#(c(x1)) -> c_6(a^#(a(a(x1))))}
  
  The usable rules are:
   {  a(c(a(x1))) -> c(a(c(x1)))
    , a(a(b(x1))) -> a(d(b(x1)))
    , a(b(x1)) -> b(a(a(x1)))
    , d(d(x1)) -> a(d(b(x1)))
    , b(b(x1)) -> b(c(x1))
    , a(d(c(x1))) -> c(a(x1))
    , b(c(x1)) -> a(a(a(x1)))}
  
  The estimated dependency graph contains the following edges:
   {a^#(c(a(x1))) -> c_0(a^#(c(x1)))}
     ==> {a^#(c(a(x1))) -> c_0(a^#(c(x1)))}
   {a^#(a(b(x1))) -> c_1(a^#(d(b(x1))))}
     ==> {a^#(d(c(x1))) -> c_5(a^#(x1))}
   {a^#(a(b(x1))) -> c_1(a^#(d(b(x1))))}
     ==> {a^#(b(x1)) -> c_2(b^#(a(a(x1))))}
   {a^#(a(b(x1))) -> c_1(a^#(d(b(x1))))}
     ==> {a^#(a(b(x1))) -> c_1(a^#(d(b(x1))))}
   {a^#(a(b(x1))) -> c_1(a^#(d(b(x1))))}
     ==> {a^#(c(a(x1))) -> c_0(a^#(c(x1)))}
   {a^#(b(x1)) -> c_2(b^#(a(a(x1))))}
     ==> {b^#(c(x1)) -> c_6(a^#(a(a(x1))))}
   {a^#(b(x1)) -> c_2(b^#(a(a(x1))))}
     ==> {b^#(b(x1)) -> c_4(b^#(c(x1)))}
   {d^#(d(x1)) -> c_3(a^#(d(b(x1))))}
     ==> {a^#(d(c(x1))) -> c_5(a^#(x1))}
   {d^#(d(x1)) -> c_3(a^#(d(b(x1))))}
     ==> {a^#(b(x1)) -> c_2(b^#(a(a(x1))))}
   {d^#(d(x1)) -> c_3(a^#(d(b(x1))))}
     ==> {a^#(a(b(x1))) -> c_1(a^#(d(b(x1))))}
   {d^#(d(x1)) -> c_3(a^#(d(b(x1))))}
     ==> {a^#(c(a(x1))) -> c_0(a^#(c(x1)))}
   {b^#(b(x1)) -> c_4(b^#(c(x1)))}
     ==> {b^#(c(x1)) -> c_6(a^#(a(a(x1))))}
   {a^#(d(c(x1))) -> c_5(a^#(x1))}
     ==> {a^#(d(c(x1))) -> c_5(a^#(x1))}
   {a^#(d(c(x1))) -> c_5(a^#(x1))}
     ==> {a^#(b(x1)) -> c_2(b^#(a(a(x1))))}
   {a^#(d(c(x1))) -> c_5(a^#(x1))}
     ==> {a^#(a(b(x1))) -> c_1(a^#(d(b(x1))))}
   {a^#(d(c(x1))) -> c_5(a^#(x1))}
     ==> {a^#(c(a(x1))) -> c_0(a^#(c(x1)))}
   {b^#(c(x1)) -> c_6(a^#(a(a(x1))))}
     ==> {a^#(b(x1)) -> c_2(b^#(a(a(x1))))}
   {b^#(c(x1)) -> c_6(a^#(a(a(x1))))}
     ==> {a^#(a(b(x1))) -> c_1(a^#(d(b(x1))))}
   {b^#(c(x1)) -> c_6(a^#(a(a(x1))))}
     ==> {a^#(c(a(x1))) -> c_0(a^#(c(x1)))}
  
  We consider the following path(s):
   1) {  d^#(d(x1)) -> c_3(a^#(d(b(x1))))
       , a^#(a(b(x1))) -> c_1(a^#(d(b(x1))))
       , b^#(c(x1)) -> c_6(a^#(a(a(x1))))
       , b^#(b(x1)) -> c_4(b^#(c(x1)))
       , a^#(b(x1)) -> c_2(b^#(a(a(x1))))
       , a^#(d(c(x1))) -> c_5(a^#(x1))
       , a^#(c(a(x1))) -> c_0(a^#(c(x1)))}
      
      The usable rules for this path are the following:
      {  a(c(a(x1))) -> c(a(c(x1)))
       , a(a(b(x1))) -> a(d(b(x1)))
       , a(b(x1)) -> b(a(a(x1)))
       , d(d(x1)) -> a(d(b(x1)))
       , b(b(x1)) -> b(c(x1))
       , a(d(c(x1))) -> c(a(x1))
       , b(c(x1)) -> a(a(a(x1)))}
      
        We have applied the subprocessor on the union of usable rules and weak (innermost) dependency pairs.
        
          'Weight Gap Principle'
          ----------------------
          Answer:           YES(?,O(n^1))
          Input Problem:    innermost runtime-complexity with respect to
            Rules:
              {  a(c(a(x1))) -> c(a(c(x1)))
               , a(a(b(x1))) -> a(d(b(x1)))
               , a(b(x1)) -> b(a(a(x1)))
               , d(d(x1)) -> a(d(b(x1)))
               , b(b(x1)) -> b(c(x1))
               , a(d(c(x1))) -> c(a(x1))
               , b(c(x1)) -> a(a(a(x1)))
               , a^#(a(b(x1))) -> c_1(a^#(d(b(x1))))
               , b^#(c(x1)) -> c_6(a^#(a(a(x1))))
               , b^#(b(x1)) -> c_4(b^#(c(x1)))
               , a^#(b(x1)) -> c_2(b^#(a(a(x1))))
               , a^#(d(c(x1))) -> c_5(a^#(x1))
               , d^#(d(x1)) -> c_3(a^#(d(b(x1))))
               , a^#(c(a(x1))) -> c_0(a^#(c(x1)))}
          
          Details:         
            We apply the weight gap principle, strictly orienting the rules
            {  d(d(x1)) -> a(d(b(x1)))
             , a(d(c(x1))) -> c(a(x1))
             , a^#(d(c(x1))) -> c_5(a^#(x1))}
            and weakly orienting the rules
            {}
            using the following strongly linear interpretation:
              Processor 'Matrix Interpretation' oriented the following rules strictly:
              
              {  d(d(x1)) -> a(d(b(x1)))
               , a(d(c(x1))) -> c(a(x1))
               , a^#(d(c(x1))) -> c_5(a^#(x1))}
              
              Details:
                 Interpretation Functions:
                  a(x1) = [1] x1 + [0]
                  c(x1) = [1] x1 + [0]
                  b(x1) = [1] x1 + [0]
                  d(x1) = [1] x1 + [8]
                  a^#(x1) = [1] x1 + [1]
                  c_0(x1) = [1] x1 + [0]
                  c_1(x1) = [1] x1 + [0]
                  c_2(x1) = [1] x1 + [1]
                  b^#(x1) = [1] x1 + [1]
                  d^#(x1) = [1] x1 + [1]
                  c_3(x1) = [1] x1 + [0]
                  c_4(x1) = [1] x1 + [0]
                  c_5(x1) = [1] x1 + [0]
                  c_6(x1) = [1] x1 + [0]
              
            Finally we apply the subprocessor
            We apply the weight gap principle, strictly orienting the rules
            {d^#(d(x1)) -> c_3(a^#(d(b(x1))))}
            and weakly orienting the rules
            {  d(d(x1)) -> a(d(b(x1)))
             , a(d(c(x1))) -> c(a(x1))
             , a^#(d(c(x1))) -> c_5(a^#(x1))}
            using the following strongly linear interpretation:
              Processor 'Matrix Interpretation' oriented the following rules strictly:
              
              {d^#(d(x1)) -> c_3(a^#(d(b(x1))))}
              
              Details:
                 Interpretation Functions:
                  a(x1) = [1] x1 + [0]
                  c(x1) = [1] x1 + [0]
                  b(x1) = [1] x1 + [0]
                  d(x1) = [1] x1 + [0]
                  a^#(x1) = [1] x1 + [1]
                  c_0(x1) = [1] x1 + [7]
                  c_1(x1) = [1] x1 + [3]
                  c_2(x1) = [1] x1 + [0]
                  b^#(x1) = [1] x1 + [1]
                  d^#(x1) = [1] x1 + [9]
                  c_3(x1) = [1] x1 + [0]
                  c_4(x1) = [1] x1 + [0]
                  c_5(x1) = [1] x1 + [0]
                  c_6(x1) = [1] x1 + [0]
              
            Finally we apply the subprocessor
            We apply the weight gap principle, strictly orienting the rules
            {a^#(b(x1)) -> c_2(b^#(a(a(x1))))}
            and weakly orienting the rules
            {  d^#(d(x1)) -> c_3(a^#(d(b(x1))))
             , d(d(x1)) -> a(d(b(x1)))
             , a(d(c(x1))) -> c(a(x1))
             , a^#(d(c(x1))) -> c_5(a^#(x1))}
            using the following strongly linear interpretation:
              Processor 'Matrix Interpretation' oriented the following rules strictly:
              
              {a^#(b(x1)) -> c_2(b^#(a(a(x1))))}
              
              Details:
                 Interpretation Functions:
                  a(x1) = [1] x1 + [0]
                  c(x1) = [1] x1 + [0]
                  b(x1) = [1] x1 + [0]
                  d(x1) = [1] x1 + [0]
                  a^#(x1) = [1] x1 + [1]
                  c_0(x1) = [1] x1 + [0]
                  c_1(x1) = [1] x1 + [1]
                  c_2(x1) = [1] x1 + [0]
                  b^#(x1) = [1] x1 + [0]
                  d^#(x1) = [1] x1 + [9]
                  c_3(x1) = [1] x1 + [0]
                  c_4(x1) = [1] x1 + [0]
                  c_5(x1) = [1] x1 + [0]
                  c_6(x1) = [1] x1 + [0]
              
            Finally we apply the subprocessor
            We apply the weight gap principle, strictly orienting the rules
            {  b(b(x1)) -> b(c(x1))
             , b(c(x1)) -> a(a(a(x1)))
             , b^#(b(x1)) -> c_4(b^#(c(x1)))}
            and weakly orienting the rules
            {  a^#(b(x1)) -> c_2(b^#(a(a(x1))))
             , d^#(d(x1)) -> c_3(a^#(d(b(x1))))
             , d(d(x1)) -> a(d(b(x1)))
             , a(d(c(x1))) -> c(a(x1))
             , a^#(d(c(x1))) -> c_5(a^#(x1))}
            using the following strongly linear interpretation:
              Processor 'Matrix Interpretation' oriented the following rules strictly:
              
              {  b(b(x1)) -> b(c(x1))
               , b(c(x1)) -> a(a(a(x1)))
               , b^#(b(x1)) -> c_4(b^#(c(x1)))}
              
              Details:
                 Interpretation Functions:
                  a(x1) = [1] x1 + [1]
                  c(x1) = [1] x1 + [1]
                  b(x1) = [1] x1 + [8]
                  d(x1) = [1] x1 + [15]
                  a^#(x1) = [1] x1 + [0]
                  c_0(x1) = [1] x1 + [4]
                  c_1(x1) = [1] x1 + [5]
                  c_2(x1) = [1] x1 + [1]
                  b^#(x1) = [1] x1 + [0]
                  d^#(x1) = [1] x1 + [12]
                  c_3(x1) = [1] x1 + [0]
                  c_4(x1) = [1] x1 + [0]
                  c_5(x1) = [1] x1 + [9]
                  c_6(x1) = [1] x1 + [1]
              
            Finally we apply the subprocessor
            We apply the weight gap principle, strictly orienting the rules
            {b^#(c(x1)) -> c_6(a^#(a(a(x1))))}
            and weakly orienting the rules
            {  b(b(x1)) -> b(c(x1))
             , b(c(x1)) -> a(a(a(x1)))
             , b^#(b(x1)) -> c_4(b^#(c(x1)))
             , a^#(b(x1)) -> c_2(b^#(a(a(x1))))
             , d^#(d(x1)) -> c_3(a^#(d(b(x1))))
             , d(d(x1)) -> a(d(b(x1)))
             , a(d(c(x1))) -> c(a(x1))
             , a^#(d(c(x1))) -> c_5(a^#(x1))}
            using the following strongly linear interpretation:
              Processor 'Matrix Interpretation' oriented the following rules strictly:
              
              {b^#(c(x1)) -> c_6(a^#(a(a(x1))))}
              
              Details:
                 Interpretation Functions:
                  a(x1) = [1] x1 + [0]
                  c(x1) = [1] x1 + [4]
                  b(x1) = [1] x1 + [8]
                  d(x1) = [1] x1 + [8]
                  a^#(x1) = [1] x1 + [0]
                  c_0(x1) = [1] x1 + [2]
                  c_1(x1) = [1] x1 + [1]
                  c_2(x1) = [1] x1 + [0]
                  b^#(x1) = [1] x1 + [5]
                  d^#(x1) = [1] x1 + [9]
                  c_3(x1) = [1] x1 + [1]
                  c_4(x1) = [1] x1 + [1]
                  c_5(x1) = [1] x1 + [4]
                  c_6(x1) = [1] x1 + [0]
              
            Finally we apply the subprocessor
            We apply the weight gap principle, strictly orienting the rules
            {a^#(c(a(x1))) -> c_0(a^#(c(x1)))}
            and weakly orienting the rules
            {  b^#(c(x1)) -> c_6(a^#(a(a(x1))))
             , b(b(x1)) -> b(c(x1))
             , b(c(x1)) -> a(a(a(x1)))
             , b^#(b(x1)) -> c_4(b^#(c(x1)))
             , a^#(b(x1)) -> c_2(b^#(a(a(x1))))
             , d^#(d(x1)) -> c_3(a^#(d(b(x1))))
             , d(d(x1)) -> a(d(b(x1)))
             , a(d(c(x1))) -> c(a(x1))
             , a^#(d(c(x1))) -> c_5(a^#(x1))}
            using the following strongly linear interpretation:
              Processor 'Matrix Interpretation' oriented the following rules strictly:
              
              {a^#(c(a(x1))) -> c_0(a^#(c(x1)))}
              
              Details:
                 Interpretation Functions:
                  a(x1) = [1] x1 + [2]
                  c(x1) = [1] x1 + [4]
                  b(x1) = [1] x1 + [4]
                  d(x1) = [1] x1 + [9]
                  a^#(x1) = [1] x1 + [0]
                  c_0(x1) = [1] x1 + [0]
                  c_1(x1) = [1] x1 + [0]
                  c_2(x1) = [1] x1 + [0]
                  b^#(x1) = [1] x1 + [0]
                  d^#(x1) = [1] x1 + [7]
                  c_3(x1) = [1] x1 + [1]
                  c_4(x1) = [1] x1 + [0]
                  c_5(x1) = [1] x1 + [0]
                  c_6(x1) = [1] x1 + [0]
              
            Finally we apply the subprocessor
            We apply the weight gap principle, strictly orienting the rules
            {a(c(a(x1))) -> c(a(c(x1)))}
            and weakly orienting the rules
            {  a^#(c(a(x1))) -> c_0(a^#(c(x1)))
             , b^#(c(x1)) -> c_6(a^#(a(a(x1))))
             , b(b(x1)) -> b(c(x1))
             , b(c(x1)) -> a(a(a(x1)))
             , b^#(b(x1)) -> c_4(b^#(c(x1)))
             , a^#(b(x1)) -> c_2(b^#(a(a(x1))))
             , d^#(d(x1)) -> c_3(a^#(d(b(x1))))
             , d(d(x1)) -> a(d(b(x1)))
             , a(d(c(x1))) -> c(a(x1))
             , a^#(d(c(x1))) -> c_5(a^#(x1))}
            using the following strongly linear interpretation:
              Processor 'Matrix Interpretation' oriented the following rules strictly:
              
              {a(c(a(x1))) -> c(a(c(x1)))}
              
              Details:
                 Interpretation Functions:
                  a(x1) = [1] x1 + [2]
                  c(x1) = [1] x1 + [0]
                  b(x1) = [1] x1 + [8]
                  d(x1) = [1] x1 + [10]
                  a^#(x1) = [1] x1 + [0]
                  c_0(x1) = [1] x1 + [1]
                  c_1(x1) = [1] x1 + [0]
                  c_2(x1) = [1] x1 + [0]
                  b^#(x1) = [1] x1 + [4]
                  d^#(x1) = [1] x1 + [8]
                  c_3(x1) = [1] x1 + [0]
                  c_4(x1) = [1] x1 + [1]
                  c_5(x1) = [1] x1 + [1]
                  c_6(x1) = [1] x1 + [0]
              
            Finally we apply the subprocessor
            'fastest of 'combine', 'Bounds with default enrichment', 'Bounds with default enrichment''
            ------------------------------------------------------------------------------------------
            Answer:           YES(?,O(n^1))
            Input Problem:    innermost relative runtime-complexity with respect to
              Strict Rules:
                {  a(a(b(x1))) -> a(d(b(x1)))
                 , a(b(x1)) -> b(a(a(x1)))
                 , a^#(a(b(x1))) -> c_1(a^#(d(b(x1))))}
              Weak Rules:
                {  a(c(a(x1))) -> c(a(c(x1)))
                 , a^#(c(a(x1))) -> c_0(a^#(c(x1)))
                 , b^#(c(x1)) -> c_6(a^#(a(a(x1))))
                 , b(b(x1)) -> b(c(x1))
                 , b(c(x1)) -> a(a(a(x1)))
                 , b^#(b(x1)) -> c_4(b^#(c(x1)))
                 , a^#(b(x1)) -> c_2(b^#(a(a(x1))))
                 , d^#(d(x1)) -> c_3(a^#(d(b(x1))))
                 , d(d(x1)) -> a(d(b(x1)))
                 , a(d(c(x1))) -> c(a(x1))
                 , a^#(d(c(x1))) -> c_5(a^#(x1))}
            
            Details:         
              The problem was solved by processor 'Bounds with default enrichment':
              'Bounds with default enrichment'
              --------------------------------
              Answer:           YES(?,O(n^1))
              Input Problem:    innermost relative runtime-complexity with respect to
                Strict Rules:
                  {  a(a(b(x1))) -> a(d(b(x1)))
                   , a(b(x1)) -> b(a(a(x1)))
                   , a^#(a(b(x1))) -> c_1(a^#(d(b(x1))))}
                Weak Rules:
                  {  a(c(a(x1))) -> c(a(c(x1)))
                   , a^#(c(a(x1))) -> c_0(a^#(c(x1)))
                   , b^#(c(x1)) -> c_6(a^#(a(a(x1))))
                   , b(b(x1)) -> b(c(x1))
                   , b(c(x1)) -> a(a(a(x1)))
                   , b^#(b(x1)) -> c_4(b^#(c(x1)))
                   , a^#(b(x1)) -> c_2(b^#(a(a(x1))))
                   , d^#(d(x1)) -> c_3(a^#(d(b(x1))))
                   , d(d(x1)) -> a(d(b(x1)))
                   , a(d(c(x1))) -> c(a(x1))
                   , a^#(d(c(x1))) -> c_5(a^#(x1))}
              
              Details:         
                The problem is Match-bounded by 0.
                The enriched problem is compatible with the following automaton:
                {  a_0(2) -> 13
                 , a_0(13) -> 12
                 , c_0(2) -> 2
                 , a^#_0(2) -> 5
                 , a^#_0(12) -> 11
                 , b^#_0(2) -> 9
                 , d^#_0(2) -> 10
                 , c_6_0(11) -> 9}
      
   2) {  d^#(d(x1)) -> c_3(a^#(d(b(x1))))
       , a^#(a(b(x1))) -> c_1(a^#(d(b(x1))))
       , b^#(c(x1)) -> c_6(a^#(a(a(x1))))
       , b^#(b(x1)) -> c_4(b^#(c(x1)))
       , a^#(b(x1)) -> c_2(b^#(a(a(x1))))
       , a^#(d(c(x1))) -> c_5(a^#(x1))}
      
      The usable rules for this path are the following:
      {  a(c(a(x1))) -> c(a(c(x1)))
       , a(a(b(x1))) -> a(d(b(x1)))
       , a(b(x1)) -> b(a(a(x1)))
       , d(d(x1)) -> a(d(b(x1)))
       , b(b(x1)) -> b(c(x1))
       , a(d(c(x1))) -> c(a(x1))
       , b(c(x1)) -> a(a(a(x1)))}
      
        We have applied the subprocessor on the union of usable rules and weak (innermost) dependency pairs.
        
          'Weight Gap Principle'
          ----------------------
          Answer:           YES(?,O(n^1))
          Input Problem:    innermost runtime-complexity with respect to
            Rules:
              {  a(c(a(x1))) -> c(a(c(x1)))
               , a(a(b(x1))) -> a(d(b(x1)))
               , a(b(x1)) -> b(a(a(x1)))
               , d(d(x1)) -> a(d(b(x1)))
               , b(b(x1)) -> b(c(x1))
               , a(d(c(x1))) -> c(a(x1))
               , b(c(x1)) -> a(a(a(x1)))
               , d^#(d(x1)) -> c_3(a^#(d(b(x1))))
               , a^#(a(b(x1))) -> c_1(a^#(d(b(x1))))
               , b^#(c(x1)) -> c_6(a^#(a(a(x1))))
               , b^#(b(x1)) -> c_4(b^#(c(x1)))
               , a^#(b(x1)) -> c_2(b^#(a(a(x1))))
               , a^#(d(c(x1))) -> c_5(a^#(x1))}
          
          Details:         
            We apply the weight gap principle, strictly orienting the rules
            {b^#(c(x1)) -> c_6(a^#(a(a(x1))))}
            and weakly orienting the rules
            {}
            using the following strongly linear interpretation:
              Processor 'Matrix Interpretation' oriented the following rules strictly:
              
              {b^#(c(x1)) -> c_6(a^#(a(a(x1))))}
              
              Details:
                 Interpretation Functions:
                  a(x1) = [1] x1 + [0]
                  c(x1) = [1] x1 + [0]
                  b(x1) = [1] x1 + [0]
                  d(x1) = [1] x1 + [0]
                  a^#(x1) = [1] x1 + [0]
                  c_0(x1) = [0] x1 + [0]
                  c_1(x1) = [1] x1 + [1]
                  c_2(x1) = [1] x1 + [0]
                  b^#(x1) = [1] x1 + [1]
                  d^#(x1) = [1] x1 + [1]
                  c_3(x1) = [1] x1 + [1]
                  c_4(x1) = [1] x1 + [7]
                  c_5(x1) = [1] x1 + [1]
                  c_6(x1) = [1] x1 + [0]
              
            Finally we apply the subprocessor
            We apply the weight gap principle, strictly orienting the rules
            {d^#(d(x1)) -> c_3(a^#(d(b(x1))))}
            and weakly orienting the rules
            {b^#(c(x1)) -> c_6(a^#(a(a(x1))))}
            using the following strongly linear interpretation:
              Processor 'Matrix Interpretation' oriented the following rules strictly:
              
              {d^#(d(x1)) -> c_3(a^#(d(b(x1))))}
              
              Details:
                 Interpretation Functions:
                  a(x1) = [1] x1 + [0]
                  c(x1) = [1] x1 + [0]
                  b(x1) = [1] x1 + [0]
                  d(x1) = [1] x1 + [0]
                  a^#(x1) = [1] x1 + [0]
                  c_0(x1) = [0] x1 + [0]
                  c_1(x1) = [1] x1 + [0]
                  c_2(x1) = [1] x1 + [1]
                  b^#(x1) = [1] x1 + [0]
                  d^#(x1) = [1] x1 + [1]
                  c_3(x1) = [1] x1 + [0]
                  c_4(x1) = [1] x1 + [8]
                  c_5(x1) = [1] x1 + [0]
                  c_6(x1) = [1] x1 + [0]
              
            Finally we apply the subprocessor
            We apply the weight gap principle, strictly orienting the rules
            {  a(a(b(x1))) -> a(d(b(x1)))
             , a(d(c(x1))) -> c(a(x1))
             , b(c(x1)) -> a(a(a(x1)))
             , a^#(a(b(x1))) -> c_1(a^#(d(b(x1))))
             , a^#(b(x1)) -> c_2(b^#(a(a(x1))))
             , a^#(d(c(x1))) -> c_5(a^#(x1))}
            and weakly orienting the rules
            {  d^#(d(x1)) -> c_3(a^#(d(b(x1))))
             , b^#(c(x1)) -> c_6(a^#(a(a(x1))))}
            using the following strongly linear interpretation:
              Processor 'Matrix Interpretation' oriented the following rules strictly:
              
              {  a(a(b(x1))) -> a(d(b(x1)))
               , a(d(c(x1))) -> c(a(x1))
               , b(c(x1)) -> a(a(a(x1)))
               , a^#(a(b(x1))) -> c_1(a^#(d(b(x1))))
               , a^#(b(x1)) -> c_2(b^#(a(a(x1))))
               , a^#(d(c(x1))) -> c_5(a^#(x1))}
              
              Details:
                 Interpretation Functions:
                  a(x1) = [1] x1 + [3]
                  c(x1) = [1] x1 + [13]
                  b(x1) = [1] x1 + [11]
                  d(x1) = [1] x1 + [1]
                  a^#(x1) = [1] x1 + [0]
                  c_0(x1) = [0] x1 + [0]
                  c_1(x1) = [1] x1 + [0]
                  c_2(x1) = [1] x1 + [0]
                  b^#(x1) = [1] x1 + [1]
                  d^#(x1) = [1] x1 + [15]
                  c_3(x1) = [1] x1 + [4]
                  c_4(x1) = [1] x1 + [0]
                  c_5(x1) = [1] x1 + [0]
                  c_6(x1) = [1] x1 + [0]
              
            Finally we apply the subprocessor
            We apply the weight gap principle, strictly orienting the rules
            {  b(b(x1)) -> b(c(x1))
             , b^#(b(x1)) -> c_4(b^#(c(x1)))}
            and weakly orienting the rules
            {  a(a(b(x1))) -> a(d(b(x1)))
             , a(d(c(x1))) -> c(a(x1))
             , b(c(x1)) -> a(a(a(x1)))
             , a^#(a(b(x1))) -> c_1(a^#(d(b(x1))))
             , a^#(b(x1)) -> c_2(b^#(a(a(x1))))
             , a^#(d(c(x1))) -> c_5(a^#(x1))
             , d^#(d(x1)) -> c_3(a^#(d(b(x1))))
             , b^#(c(x1)) -> c_6(a^#(a(a(x1))))}
            using the following strongly linear interpretation:
              Processor 'Matrix Interpretation' oriented the following rules strictly:
              
              {  b(b(x1)) -> b(c(x1))
               , b^#(b(x1)) -> c_4(b^#(c(x1)))}
              
              Details:
                 Interpretation Functions:
                  a(x1) = [1] x1 + [0]
                  c(x1) = [1] x1 + [0]
                  b(x1) = [1] x1 + [8]
                  d(x1) = [1] x1 + [0]
                  a^#(x1) = [1] x1 + [0]
                  c_0(x1) = [0] x1 + [0]
                  c_1(x1) = [1] x1 + [0]
                  c_2(x1) = [1] x1 + [1]
                  b^#(x1) = [1] x1 + [0]
                  d^#(x1) = [1] x1 + [9]
                  c_3(x1) = [1] x1 + [1]
                  c_4(x1) = [1] x1 + [1]
                  c_5(x1) = [1] x1 + [0]
                  c_6(x1) = [1] x1 + [0]
              
            Finally we apply the subprocessor
            We apply the weight gap principle, strictly orienting the rules
            {a(c(a(x1))) -> c(a(c(x1)))}
            and weakly orienting the rules
            {  b(b(x1)) -> b(c(x1))
             , b^#(b(x1)) -> c_4(b^#(c(x1)))
             , a(a(b(x1))) -> a(d(b(x1)))
             , a(d(c(x1))) -> c(a(x1))
             , b(c(x1)) -> a(a(a(x1)))
             , a^#(a(b(x1))) -> c_1(a^#(d(b(x1))))
             , a^#(b(x1)) -> c_2(b^#(a(a(x1))))
             , a^#(d(c(x1))) -> c_5(a^#(x1))
             , d^#(d(x1)) -> c_3(a^#(d(b(x1))))
             , b^#(c(x1)) -> c_6(a^#(a(a(x1))))}
            using the following strongly linear interpretation:
              Processor 'Matrix Interpretation' oriented the following rules strictly:
              
              {a(c(a(x1))) -> c(a(c(x1)))}
              
              Details:
                 Interpretation Functions:
                  a(x1) = [1] x1 + [4]
                  c(x1) = [1] x1 + [2]
                  b(x1) = [1] x1 + [14]
                  d(x1) = [1] x1 + [2]
                  a^#(x1) = [1] x1 + [0]
                  c_0(x1) = [0] x1 + [0]
                  c_1(x1) = [1] x1 + [1]
                  c_2(x1) = [1] x1 + [0]
                  b^#(x1) = [1] x1 + [6]
                  d^#(x1) = [1] x1 + [15]
                  c_3(x1) = [1] x1 + [1]
                  c_4(x1) = [1] x1 + [0]
                  c_5(x1) = [1] x1 + [1]
                  c_6(x1) = [1] x1 + [0]
              
            Finally we apply the subprocessor
            'fastest of 'combine', 'Bounds with default enrichment', 'Bounds with default enrichment''
            ------------------------------------------------------------------------------------------
            Answer:           YES(?,O(n^1))
            Input Problem:    innermost relative runtime-complexity with respect to
              Strict Rules:
                {  a(b(x1)) -> b(a(a(x1)))
                 , d(d(x1)) -> a(d(b(x1)))}
              Weak Rules:
                {  a(c(a(x1))) -> c(a(c(x1)))
                 , b(b(x1)) -> b(c(x1))
                 , b^#(b(x1)) -> c_4(b^#(c(x1)))
                 , a(a(b(x1))) -> a(d(b(x1)))
                 , a(d(c(x1))) -> c(a(x1))
                 , b(c(x1)) -> a(a(a(x1)))
                 , a^#(a(b(x1))) -> c_1(a^#(d(b(x1))))
                 , a^#(b(x1)) -> c_2(b^#(a(a(x1))))
                 , a^#(d(c(x1))) -> c_5(a^#(x1))
                 , d^#(d(x1)) -> c_3(a^#(d(b(x1))))
                 , b^#(c(x1)) -> c_6(a^#(a(a(x1))))}
            
            Details:         
              The problem was solved by processor 'Bounds with default enrichment':
              'Bounds with default enrichment'
              --------------------------------
              Answer:           YES(?,O(n^1))
              Input Problem:    innermost relative runtime-complexity with respect to
                Strict Rules:
                  {  a(b(x1)) -> b(a(a(x1)))
                   , d(d(x1)) -> a(d(b(x1)))}
                Weak Rules:
                  {  a(c(a(x1))) -> c(a(c(x1)))
                   , b(b(x1)) -> b(c(x1))
                   , b^#(b(x1)) -> c_4(b^#(c(x1)))
                   , a(a(b(x1))) -> a(d(b(x1)))
                   , a(d(c(x1))) -> c(a(x1))
                   , b(c(x1)) -> a(a(a(x1)))
                   , a^#(a(b(x1))) -> c_1(a^#(d(b(x1))))
                   , a^#(b(x1)) -> c_2(b^#(a(a(x1))))
                   , a^#(d(c(x1))) -> c_5(a^#(x1))
                   , d^#(d(x1)) -> c_3(a^#(d(b(x1))))
                   , b^#(c(x1)) -> c_6(a^#(a(a(x1))))}
              
              Details:         
                The problem is Match-bounded by 0.
                The enriched problem is compatible with the following automaton:
                {  a_0(2) -> 13
                 , a_0(13) -> 12
                 , c_0(2) -> 2
                 , a^#_0(2) -> 5
                 , a^#_0(12) -> 11
                 , b^#_0(2) -> 9
                 , d^#_0(2) -> 10
                 , c_6_0(11) -> 9}
      
   3) {  d^#(d(x1)) -> c_3(a^#(d(b(x1))))
       , a^#(c(a(x1))) -> c_0(a^#(c(x1)))}
      
      The usable rules for this path are the following:
      {  d(d(x1)) -> a(d(b(x1)))
       , b(b(x1)) -> b(c(x1))
       , b(c(x1)) -> a(a(a(x1)))
       , a(c(a(x1))) -> c(a(c(x1)))
       , a(a(b(x1))) -> a(d(b(x1)))
       , a(b(x1)) -> b(a(a(x1)))
       , a(d(c(x1))) -> c(a(x1))}
      
        We have applied the subprocessor on the union of usable rules and weak (innermost) dependency pairs.
        
          'Weight Gap Principle'
          ----------------------
          Answer:           YES(?,O(n^1))
          Input Problem:    innermost runtime-complexity with respect to
            Rules:
              {  d(d(x1)) -> a(d(b(x1)))
               , b(b(x1)) -> b(c(x1))
               , b(c(x1)) -> a(a(a(x1)))
               , a(c(a(x1))) -> c(a(c(x1)))
               , a(a(b(x1))) -> a(d(b(x1)))
               , a(b(x1)) -> b(a(a(x1)))
               , a(d(c(x1))) -> c(a(x1))
               , d^#(d(x1)) -> c_3(a^#(d(b(x1))))
               , a^#(c(a(x1))) -> c_0(a^#(c(x1)))}
          
          Details:         
            We apply the weight gap principle, strictly orienting the rules
            {  a(c(a(x1))) -> c(a(c(x1)))
             , a(a(b(x1))) -> a(d(b(x1)))}
            and weakly orienting the rules
            {}
            using the following strongly linear interpretation:
              Processor 'Matrix Interpretation' oriented the following rules strictly:
              
              {  a(c(a(x1))) -> c(a(c(x1)))
               , a(a(b(x1))) -> a(d(b(x1)))}
              
              Details:
                 Interpretation Functions:
                  a(x1) = [1] x1 + [1]
                  c(x1) = [1] x1 + [0]
                  b(x1) = [1] x1 + [0]
                  d(x1) = [1] x1 + [0]
                  a^#(x1) = [1] x1 + [0]
                  c_0(x1) = [1] x1 + [1]
                  c_1(x1) = [0] x1 + [0]
                  c_2(x1) = [0] x1 + [0]
                  b^#(x1) = [0] x1 + [0]
                  d^#(x1) = [1] x1 + [1]
                  c_3(x1) = [1] x1 + [1]
                  c_4(x1) = [0] x1 + [0]
                  c_5(x1) = [0] x1 + [0]
                  c_6(x1) = [0] x1 + [0]
              
            Finally we apply the subprocessor
            We apply the weight gap principle, strictly orienting the rules
            {a^#(c(a(x1))) -> c_0(a^#(c(x1)))}
            and weakly orienting the rules
            {  a(c(a(x1))) -> c(a(c(x1)))
             , a(a(b(x1))) -> a(d(b(x1)))}
            using the following strongly linear interpretation:
              Processor 'Matrix Interpretation' oriented the following rules strictly:
              
              {a^#(c(a(x1))) -> c_0(a^#(c(x1)))}
              
              Details:
                 Interpretation Functions:
                  a(x1) = [1] x1 + [1]
                  c(x1) = [1] x1 + [0]
                  b(x1) = [1] x1 + [0]
                  d(x1) = [1] x1 + [0]
                  a^#(x1) = [1] x1 + [0]
                  c_0(x1) = [1] x1 + [0]
                  c_1(x1) = [0] x1 + [0]
                  c_2(x1) = [0] x1 + [0]
                  b^#(x1) = [0] x1 + [0]
                  d^#(x1) = [1] x1 + [1]
                  c_3(x1) = [1] x1 + [1]
                  c_4(x1) = [0] x1 + [0]
                  c_5(x1) = [0] x1 + [0]
                  c_6(x1) = [0] x1 + [0]
              
            Finally we apply the subprocessor
            We apply the weight gap principle, strictly orienting the rules
            {d^#(d(x1)) -> c_3(a^#(d(b(x1))))}
            and weakly orienting the rules
            {  a^#(c(a(x1))) -> c_0(a^#(c(x1)))
             , a(c(a(x1))) -> c(a(c(x1)))
             , a(a(b(x1))) -> a(d(b(x1)))}
            using the following strongly linear interpretation:
              Processor 'Matrix Interpretation' oriented the following rules strictly:
              
              {d^#(d(x1)) -> c_3(a^#(d(b(x1))))}
              
              Details:
                 Interpretation Functions:
                  a(x1) = [1] x1 + [1]
                  c(x1) = [1] x1 + [0]
                  b(x1) = [1] x1 + [0]
                  d(x1) = [1] x1 + [0]
                  a^#(x1) = [1] x1 + [1]
                  c_0(x1) = [1] x1 + [0]
                  c_1(x1) = [0] x1 + [0]
                  c_2(x1) = [0] x1 + [0]
                  b^#(x1) = [0] x1 + [0]
                  d^#(x1) = [1] x1 + [9]
                  c_3(x1) = [1] x1 + [0]
                  c_4(x1) = [0] x1 + [0]
                  c_5(x1) = [0] x1 + [0]
                  c_6(x1) = [0] x1 + [0]
              
            Finally we apply the subprocessor
            We apply the weight gap principle, strictly orienting the rules
            {  b(b(x1)) -> b(c(x1))
             , b(c(x1)) -> a(a(a(x1)))}
            and weakly orienting the rules
            {  d^#(d(x1)) -> c_3(a^#(d(b(x1))))
             , a^#(c(a(x1))) -> c_0(a^#(c(x1)))
             , a(c(a(x1))) -> c(a(c(x1)))
             , a(a(b(x1))) -> a(d(b(x1)))}
            using the following strongly linear interpretation:
              Processor 'Matrix Interpretation' oriented the following rules strictly:
              
              {  b(b(x1)) -> b(c(x1))
               , b(c(x1)) -> a(a(a(x1)))}
              
              Details:
                 Interpretation Functions:
                  a(x1) = [1] x1 + [1]
                  c(x1) = [1] x1 + [0]
                  b(x1) = [1] x1 + [7]
                  d(x1) = [1] x1 + [0]
                  a^#(x1) = [1] x1 + [1]
                  c_0(x1) = [1] x1 + [0]
                  c_1(x1) = [0] x1 + [0]
                  c_2(x1) = [0] x1 + [0]
                  b^#(x1) = [0] x1 + [0]
                  d^#(x1) = [1] x1 + [9]
                  c_3(x1) = [1] x1 + [1]
                  c_4(x1) = [0] x1 + [0]
                  c_5(x1) = [0] x1 + [0]
                  c_6(x1) = [0] x1 + [0]
              
            Finally we apply the subprocessor
            We apply the weight gap principle, strictly orienting the rules
            {a(d(c(x1))) -> c(a(x1))}
            and weakly orienting the rules
            {  b(b(x1)) -> b(c(x1))
             , b(c(x1)) -> a(a(a(x1)))
             , d^#(d(x1)) -> c_3(a^#(d(b(x1))))
             , a^#(c(a(x1))) -> c_0(a^#(c(x1)))
             , a(c(a(x1))) -> c(a(c(x1)))
             , a(a(b(x1))) -> a(d(b(x1)))}
            using the following strongly linear interpretation:
              Processor 'Matrix Interpretation' oriented the following rules strictly:
              
              {a(d(c(x1))) -> c(a(x1))}
              
              Details:
                 Interpretation Functions:
                  a(x1) = [1] x1 + [1]
                  c(x1) = [1] x1 + [1]
                  b(x1) = [1] x1 + [8]
                  d(x1) = [1] x1 + [1]
                  a^#(x1) = [1] x1 + [0]
                  c_0(x1) = [1] x1 + [0]
                  c_1(x1) = [0] x1 + [0]
                  c_2(x1) = [0] x1 + [0]
                  b^#(x1) = [0] x1 + [0]
                  d^#(x1) = [1] x1 + [15]
                  c_3(x1) = [1] x1 + [0]
                  c_4(x1) = [0] x1 + [0]
                  c_5(x1) = [0] x1 + [0]
                  c_6(x1) = [0] x1 + [0]
              
            Finally we apply the subprocessor
            'fastest of 'combine', 'Bounds with default enrichment', 'Bounds with default enrichment''
            ------------------------------------------------------------------------------------------
            Answer:           YES(?,O(n^1))
            Input Problem:    innermost relative runtime-complexity with respect to
              Strict Rules:
                {  d(d(x1)) -> a(d(b(x1)))
                 , a(b(x1)) -> b(a(a(x1)))}
              Weak Rules:
                {  a(d(c(x1))) -> c(a(x1))
                 , b(b(x1)) -> b(c(x1))
                 , b(c(x1)) -> a(a(a(x1)))
                 , d^#(d(x1)) -> c_3(a^#(d(b(x1))))
                 , a^#(c(a(x1))) -> c_0(a^#(c(x1)))
                 , a(c(a(x1))) -> c(a(c(x1)))
                 , a(a(b(x1))) -> a(d(b(x1)))}
            
            Details:         
              The problem was solved by processor 'Bounds with default enrichment':
              'Bounds with default enrichment'
              --------------------------------
              Answer:           YES(?,O(n^1))
              Input Problem:    innermost relative runtime-complexity with respect to
                Strict Rules:
                  {  d(d(x1)) -> a(d(b(x1)))
                   , a(b(x1)) -> b(a(a(x1)))}
                Weak Rules:
                  {  a(d(c(x1))) -> c(a(x1))
                   , b(b(x1)) -> b(c(x1))
                   , b(c(x1)) -> a(a(a(x1)))
                   , d^#(d(x1)) -> c_3(a^#(d(b(x1))))
                   , a^#(c(a(x1))) -> c_0(a^#(c(x1)))
                   , a(c(a(x1))) -> c(a(c(x1)))
                   , a(a(b(x1))) -> a(d(b(x1)))}
              
              Details:         
                The problem is Match-bounded by 0.
                The enriched problem is compatible with the following automaton:
                {  c_0(2) -> 2
                 , a^#_0(2) -> 5
                 , d^#_0(2) -> 10}
      
   4) {d^#(d(x1)) -> c_3(a^#(d(b(x1))))}
      
      The usable rules for this path are the following:
      {  d(d(x1)) -> a(d(b(x1)))
       , b(b(x1)) -> b(c(x1))
       , b(c(x1)) -> a(a(a(x1)))
       , a(c(a(x1))) -> c(a(c(x1)))
       , a(a(b(x1))) -> a(d(b(x1)))
       , a(b(x1)) -> b(a(a(x1)))
       , a(d(c(x1))) -> c(a(x1))}
      
        We have applied the subprocessor on the union of usable rules and weak (innermost) dependency pairs.
        
          'Weight Gap Principle'
          ----------------------
          Answer:           YES(?,O(n^1))
          Input Problem:    innermost runtime-complexity with respect to
            Rules:
              {  d(d(x1)) -> a(d(b(x1)))
               , b(b(x1)) -> b(c(x1))
               , b(c(x1)) -> a(a(a(x1)))
               , a(c(a(x1))) -> c(a(c(x1)))
               , a(a(b(x1))) -> a(d(b(x1)))
               , a(b(x1)) -> b(a(a(x1)))
               , a(d(c(x1))) -> c(a(x1))
               , d^#(d(x1)) -> c_3(a^#(d(b(x1))))}
          
          Details:         
            We apply the weight gap principle, strictly orienting the rules
            {  a(c(a(x1))) -> c(a(c(x1)))
             , a(a(b(x1))) -> a(d(b(x1)))}
            and weakly orienting the rules
            {}
            using the following strongly linear interpretation:
              Processor 'Matrix Interpretation' oriented the following rules strictly:
              
              {  a(c(a(x1))) -> c(a(c(x1)))
               , a(a(b(x1))) -> a(d(b(x1)))}
              
              Details:
                 Interpretation Functions:
                  a(x1) = [1] x1 + [1]
                  c(x1) = [1] x1 + [0]
                  b(x1) = [1] x1 + [0]
                  d(x1) = [1] x1 + [0]
                  a^#(x1) = [1] x1 + [0]
                  c_0(x1) = [0] x1 + [0]
                  c_1(x1) = [0] x1 + [0]
                  c_2(x1) = [0] x1 + [0]
                  b^#(x1) = [0] x1 + [0]
                  d^#(x1) = [1] x1 + [1]
                  c_3(x1) = [1] x1 + [1]
                  c_4(x1) = [0] x1 + [0]
                  c_5(x1) = [0] x1 + [0]
                  c_6(x1) = [0] x1 + [0]
              
            Finally we apply the subprocessor
            We apply the weight gap principle, strictly orienting the rules
            {d^#(d(x1)) -> c_3(a^#(d(b(x1))))}
            and weakly orienting the rules
            {  a(c(a(x1))) -> c(a(c(x1)))
             , a(a(b(x1))) -> a(d(b(x1)))}
            using the following strongly linear interpretation:
              Processor 'Matrix Interpretation' oriented the following rules strictly:
              
              {d^#(d(x1)) -> c_3(a^#(d(b(x1))))}
              
              Details:
                 Interpretation Functions:
                  a(x1) = [1] x1 + [1]
                  c(x1) = [1] x1 + [0]
                  b(x1) = [1] x1 + [0]
                  d(x1) = [1] x1 + [0]
                  a^#(x1) = [1] x1 + [0]
                  c_0(x1) = [0] x1 + [0]
                  c_1(x1) = [0] x1 + [0]
                  c_2(x1) = [0] x1 + [0]
                  b^#(x1) = [0] x1 + [0]
                  d^#(x1) = [1] x1 + [1]
                  c_3(x1) = [1] x1 + [0]
                  c_4(x1) = [0] x1 + [0]
                  c_5(x1) = [0] x1 + [0]
                  c_6(x1) = [0] x1 + [0]
              
            Finally we apply the subprocessor
            We apply the weight gap principle, strictly orienting the rules
            {  b(b(x1)) -> b(c(x1))
             , b(c(x1)) -> a(a(a(x1)))}
            and weakly orienting the rules
            {  d^#(d(x1)) -> c_3(a^#(d(b(x1))))
             , a(c(a(x1))) -> c(a(c(x1)))
             , a(a(b(x1))) -> a(d(b(x1)))}
            using the following strongly linear interpretation:
              Processor 'Matrix Interpretation' oriented the following rules strictly:
              
              {  b(b(x1)) -> b(c(x1))
               , b(c(x1)) -> a(a(a(x1)))}
              
              Details:
                 Interpretation Functions:
                  a(x1) = [1] x1 + [0]
                  c(x1) = [1] x1 + [0]
                  b(x1) = [1] x1 + [1]
                  d(x1) = [1] x1 + [0]
                  a^#(x1) = [1] x1 + [3]
                  c_0(x1) = [0] x1 + [0]
                  c_1(x1) = [0] x1 + [0]
                  c_2(x1) = [0] x1 + [0]
                  b^#(x1) = [0] x1 + [0]
                  d^#(x1) = [1] x1 + [7]
                  c_3(x1) = [1] x1 + [0]
                  c_4(x1) = [0] x1 + [0]
                  c_5(x1) = [0] x1 + [0]
                  c_6(x1) = [0] x1 + [0]
              
            Finally we apply the subprocessor
            We apply the weight gap principle, strictly orienting the rules
            {a(d(c(x1))) -> c(a(x1))}
            and weakly orienting the rules
            {  b(b(x1)) -> b(c(x1))
             , b(c(x1)) -> a(a(a(x1)))
             , d^#(d(x1)) -> c_3(a^#(d(b(x1))))
             , a(c(a(x1))) -> c(a(c(x1)))
             , a(a(b(x1))) -> a(d(b(x1)))}
            using the following strongly linear interpretation:
              Processor 'Matrix Interpretation' oriented the following rules strictly:
              
              {a(d(c(x1))) -> c(a(x1))}
              
              Details:
                 Interpretation Functions:
                  a(x1) = [1] x1 + [1]
                  c(x1) = [1] x1 + [0]
                  b(x1) = [1] x1 + [8]
                  d(x1) = [1] x1 + [1]
                  a^#(x1) = [1] x1 + [3]
                  c_0(x1) = [0] x1 + [0]
                  c_1(x1) = [0] x1 + [0]
                  c_2(x1) = [0] x1 + [0]
                  b^#(x1) = [0] x1 + [0]
                  d^#(x1) = [1] x1 + [15]
                  c_3(x1) = [1] x1 + [1]
                  c_4(x1) = [0] x1 + [0]
                  c_5(x1) = [0] x1 + [0]
                  c_6(x1) = [0] x1 + [0]
              
            Finally we apply the subprocessor
            'fastest of 'combine', 'Bounds with default enrichment', 'Bounds with default enrichment''
            ------------------------------------------------------------------------------------------
            Answer:           YES(?,O(n^1))
            Input Problem:    innermost relative runtime-complexity with respect to
              Strict Rules:
                {  d(d(x1)) -> a(d(b(x1)))
                 , a(b(x1)) -> b(a(a(x1)))}
              Weak Rules:
                {  a(d(c(x1))) -> c(a(x1))
                 , b(b(x1)) -> b(c(x1))
                 , b(c(x1)) -> a(a(a(x1)))
                 , d^#(d(x1)) -> c_3(a^#(d(b(x1))))
                 , a(c(a(x1))) -> c(a(c(x1)))
                 , a(a(b(x1))) -> a(d(b(x1)))}
            
            Details:         
              The problem was solved by processor 'Bounds with default enrichment':
              'Bounds with default enrichment'
              --------------------------------
              Answer:           YES(?,O(n^1))
              Input Problem:    innermost relative runtime-complexity with respect to
                Strict Rules:
                  {  d(d(x1)) -> a(d(b(x1)))
                   , a(b(x1)) -> b(a(a(x1)))}
                Weak Rules:
                  {  a(d(c(x1))) -> c(a(x1))
                   , b(b(x1)) -> b(c(x1))
                   , b(c(x1)) -> a(a(a(x1)))
                   , d^#(d(x1)) -> c_3(a^#(d(b(x1))))
                   , a(c(a(x1))) -> c(a(c(x1)))
                   , a(a(b(x1))) -> a(d(b(x1)))}
              
              Details:         
                The problem is Match-bounded by 0.
                The enriched problem is compatible with the following automaton:
                {  c_0(2) -> 2
                 , a^#_0(2) -> 5
                 , d^#_0(2) -> 10}