NO

### Pre-processing the ITS problem ###

Initial linear ITS problem
   Start location: __init
      0: f1_0_main_Load -> f51_0_increase_GE : arg1'=arg1P_1, arg2'=arg2P_1, arg3'=arg3P_1, [ arg1>0 && arg2>-1 && arg2==arg1P_1 ], cost: 1
      1: f51_0_increase_GE -> f83_0_increase_LE : arg1'=arg1P_2, arg2'=arg2P_2, arg3'=arg3P_2, [ arg1<10 && arg1==arg1P_2 && arg1==arg2P_2 && arg1==arg3P_2 ], cost: 1
      2: f83_0_increase_LE -> f51_0_increase_GE : arg1'=arg1P_3, arg2'=arg2P_3, arg3'=arg3P_3, [ arg2<6 && arg2==arg3 && 1+arg1==arg1P_3 ], cost: 1
      3: f83_0_increase_LE -> f83_0_increase_LE : arg1'=arg1P_4, arg2'=arg2P_4, arg3'=arg3P_4, [ arg2>5 && arg2==arg3 && arg1==arg1P_4 && 1+arg2==arg2P_4 && 1+arg2==arg3P_4 ], cost: 1
      4: __init -> f1_0_main_Load : arg1'=arg1P_5, arg2'=arg2P_5, arg3'=arg3P_5, [], cost: 1

Checking for constant complexity:
   The following rule is satisfiable with cost >= 1, yielding constant complexity:
      4: __init -> f1_0_main_Load : arg1'=arg1P_5, arg2'=arg2P_5, arg3'=arg3P_5, [], cost: 1

Simplified all rules, resulting in:
   Start location: __init
      0: f1_0_main_Load -> f51_0_increase_GE : arg1'=arg2, arg2'=arg2P_1, arg3'=arg3P_1, [ arg1>0 && arg2>-1 ], cost: 1
      1: f51_0_increase_GE -> f83_0_increase_LE : arg2'=arg1, arg3'=arg1, [ arg1<10 ], cost: 1
      2: f83_0_increase_LE -> f51_0_increase_GE : arg1'=1+arg1, arg2'=arg2P_3, arg3'=arg3P_3, [ arg2<6 && arg2==arg3 ], cost: 1
      3: f83_0_increase_LE -> f83_0_increase_LE : arg2'=1+arg2, arg3'=1+arg2, [ arg2>5 && arg2==arg3 ], cost: 1
      4: __init -> f1_0_main_Load : arg1'=arg1P_5, arg2'=arg2P_5, arg3'=arg3P_5, [], cost: 1

### Simplification by acceleration and chaining ###

Accelerating simple loops of location 2.
   Accelerating the following rules:
      3: f83_0_increase_LE -> f83_0_increase_LE : arg2'=1+arg2, arg3'=1+arg2, [ arg2>5 && arg2==arg3 ], cost: 1

   Accelerated rule 3 with non-termination, yielding the new rule 5.
[accelerate] Nesting with 0 inner and 0 outer candidates
   Removing the simple loops: 3.

Accelerated all simple loops using metering functions (where possible):
   Start location: __init
      0: f1_0_main_Load -> f51_0_increase_GE : arg1'=arg2, arg2'=arg2P_1, arg3'=arg3P_1, [ arg1>0 && arg2>-1 ], cost: 1
      1: f51_0_increase_GE -> f83_0_increase_LE : arg2'=arg1, arg3'=arg1, [ arg1<10 ], cost: 1
      2: f83_0_increase_LE -> f51_0_increase_GE : arg1'=1+arg1, arg2'=arg2P_3, arg3'=arg3P_3, [ arg2<6 && arg2==arg3 ], cost: 1
      5: f83_0_increase_LE -> [4] : [ arg2>5 && arg2==arg3 ], cost: NONTERM
      4: __init -> f1_0_main_Load : arg1'=arg1P_5, arg2'=arg2P_5, arg3'=arg3P_5, [], cost: 1

Chained accelerated rules (with incoming rules):
   Start location: __init
      0: f1_0_main_Load -> f51_0_increase_GE : arg1'=arg2, arg2'=arg2P_1, arg3'=arg3P_1, [ arg1>0 && arg2>-1 ], cost: 1
      1: f51_0_increase_GE -> f83_0_increase_LE : arg2'=arg1, arg3'=arg1, [ arg1<10 ], cost: 1
      6: f51_0_increase_GE -> [4] : [ arg1<10 && arg1>5 ], cost: NONTERM
      2: f83_0_increase_LE -> f51_0_increase_GE : arg1'=1+arg1, arg2'=arg2P_3, arg3'=arg3P_3, [ arg2<6 && arg2==arg3 ], cost: 1
      4: __init -> f1_0_main_Load : arg1'=arg1P_5, arg2'=arg2P_5, arg3'=arg3P_5, [], cost: 1

Eliminated locations (on linear paths):
   Start location: __init
      6: f51_0_increase_GE -> [4] : [ arg1<10 && arg1>5 ], cost: NONTERM
      8: f51_0_increase_GE -> f51_0_increase_GE : arg1'=1+arg1, arg2'=arg2P_3, arg3'=arg3P_3, [ arg1<6 ], cost: 2
      7: __init -> f51_0_increase_GE : arg1'=arg2P_5, arg2'=arg2P_1, arg3'=arg3P_1, [ arg1P_5>0 && arg2P_5>-1 ], cost: 2

Accelerating simple loops of location 1.
   Accelerating the following rules:
      8: f51_0_increase_GE -> f51_0_increase_GE : arg1'=1+arg1, arg2'=arg2P_3, arg3'=arg3P_3, [ arg1<6 ], cost: 2

   Accelerated rule 8 with backward acceleration, yielding the new rule 9.
[accelerate] Nesting with 1 inner and 1 outer candidates
   Removing the simple loops: 8.

Accelerated all simple loops using metering functions (where possible):
   Start location: __init
      6: f51_0_increase_GE -> [4] : [ arg1<10 && arg1>5 ], cost: NONTERM
      9: f51_0_increase_GE -> f51_0_increase_GE : arg1'=6, arg2'=arg2P_3, arg3'=arg3P_3, [ 6-arg1>=1 ], cost: 12-2*arg1
      7: __init -> f51_0_increase_GE : arg1'=arg2P_5, arg2'=arg2P_1, arg3'=arg3P_1, [ arg1P_5>0 && arg2P_5>-1 ], cost: 2

Chained accelerated rules (with incoming rules):
   Start location: __init
      6: f51_0_increase_GE -> [4] : [ arg1<10 && arg1>5 ], cost: NONTERM
      7: __init -> f51_0_increase_GE : arg1'=arg2P_5, arg2'=arg2P_1, arg3'=arg3P_1, [ arg1P_5>0 && arg2P_5>-1 ], cost: 2
     10: __init -> f51_0_increase_GE : arg1'=6, arg2'=arg2P_3, arg3'=arg3P_3, [ arg2P_5>-1 && 6-arg2P_5>=1 ], cost: 14-2*arg2P_5

Eliminated locations (on tree-shaped paths):
   Start location: __init
     11: __init -> [4] : [ arg1P_5>0 && arg2P_5<10 && arg2P_5>5 ], cost: NONTERM
     12: __init -> [4] : [ arg2P_5>-1 && 6-arg2P_5>=1 ], cost: NONTERM

### Computing asymptotic complexity ###

Fully simplified ITS problem
   Start location: __init
     11: __init -> [4] : [ arg1P_5>0 && arg2P_5<10 && arg2P_5>5 ], cost: NONTERM
     12: __init -> [4] : [ arg2P_5>-1 && 6-arg2P_5>=1 ], cost: NONTERM

Computing asymptotic complexity for rule 12
   Guard is satisfiable, yielding nontermination
   Resulting cost NONTERM has complexity: Nonterm

Found new complexity Nonterm.

Obtained the following overall complexity (w.r.t. the length of the input n):
   Complexity:  Nonterm
   Cpx degree:  Nonterm
   Solved cost: NONTERM
   Rule cost:   NONTERM
   Rule guard:  [ arg2P_5>-1 && 6-arg2P_5>=1 ]

NO