WORST_CASE(Omega(1),?) ### Pre-processing the ITS problem ### Initial linear ITS problem Start location: __init 0: f1_0_main_Load -> f160_0_main_LE : arg1'=arg1P_1, arg2'=arg2P_1, [ arg2>-1 && arg1P_1>-1 && arg1>0 && 1==arg2P_1 ], cost: 1 1: f160_0_main_LE -> f160_0_main_LE : arg1'=arg1P_2, arg2'=arg2P_2, [ arg1<101 && arg2>0 && 11+arg1==arg1P_2 && 1+arg2==arg2P_2 ], cost: 1 2: f160_0_main_LE -> f160_0_main_LE : arg1'=arg1P_3, arg2'=arg2P_3, [ arg1>100 && arg2>0 && -10+arg1==arg1P_3 && -1+arg2==arg2P_3 ], cost: 1 3: __init -> f1_0_main_Load : arg1'=arg1P_4, arg2'=arg2P_4, [], cost: 1 Checking for constant complexity: The following rule is satisfiable with cost >= 1, yielding constant complexity: 3: __init -> f1_0_main_Load : arg1'=arg1P_4, arg2'=arg2P_4, [], cost: 1 Simplified all rules, resulting in: Start location: __init 0: f1_0_main_Load -> f160_0_main_LE : arg1'=arg1P_1, arg2'=1, [ arg2>-1 && arg1P_1>-1 && arg1>0 ], cost: 1 1: f160_0_main_LE -> f160_0_main_LE : arg1'=11+arg1, arg2'=1+arg2, [ arg1<101 && arg2>0 ], cost: 1 2: f160_0_main_LE -> f160_0_main_LE : arg1'=-10+arg1, arg2'=-1+arg2, [ arg1>100 && arg2>0 ], cost: 1 3: __init -> f1_0_main_Load : arg1'=arg1P_4, arg2'=arg2P_4, [], cost: 1 ### Simplification by acceleration and chaining ### Accelerating simple loops of location 1. Accelerating the following rules: 1: f160_0_main_LE -> f160_0_main_LE : arg1'=11+arg1, arg2'=1+arg2, [ arg1<101 && arg2>0 ], cost: 1 2: f160_0_main_LE -> f160_0_main_LE : arg1'=-10+arg1, arg2'=-1+arg2, [ arg1>100 && arg2>0 ], cost: 1 Accelerated rule 1 with backward acceleration, yielding the new rule 4. Accelerated rule 2 with backward acceleration, yielding the new rule 5. [accelerate] Nesting with 2 inner and 2 outer candidates Removing the simple loops: 1 2. Accelerated all simple loops using metering functions (where possible): Start location: __init 0: f1_0_main_Load -> f160_0_main_LE : arg1'=arg1P_1, arg2'=1, [ arg2>-1 && arg1P_1>-1 && arg1>0 ], cost: 1 4: f160_0_main_LE -> f160_0_main_LE : arg1'=11*k+arg1, arg2'=arg2+k, [ arg2>0 && k>=0 && -11+11*k+arg1<101 ], cost: k 5: f160_0_main_LE -> f160_0_main_LE : arg1'=-10*k_1+arg1, arg2'=arg2-k_1, [ k_1>=0 && 10-10*k_1+arg1>100 && 1+arg2-k_1>0 ], cost: k_1 3: __init -> f1_0_main_Load : arg1'=arg1P_4, arg2'=arg2P_4, [], cost: 1 Chained accelerated rules (with incoming rules): Start location: __init 0: f1_0_main_Load -> f160_0_main_LE : arg1'=arg1P_1, arg2'=1, [ arg2>-1 && arg1P_1>-1 && arg1>0 ], cost: 1 6: f1_0_main_Load -> f160_0_main_LE : arg1'=arg1P_1+11*k, arg2'=1+k, [ arg2>-1 && arg1P_1>-1 && arg1>0 && k>=0 && -11+arg1P_1+11*k<101 ], cost: 1+k 7: f1_0_main_Load -> f160_0_main_LE : arg1'=arg1P_1-10*k_1, arg2'=1-k_1, [ arg2>-1 && arg1P_1>-1 && arg1>0 && k_1>=0 && 10+arg1P_1-10*k_1>100 && 2-k_1>0 ], cost: 1+k_1 3: __init -> f1_0_main_Load : arg1'=arg1P_4, arg2'=arg2P_4, [], cost: 1 Removed unreachable locations (and leaf rules with constant cost): Start location: __init 6: f1_0_main_Load -> f160_0_main_LE : arg1'=arg1P_1+11*k, arg2'=1+k, [ arg2>-1 && arg1P_1>-1 && arg1>0 && k>=0 && -11+arg1P_1+11*k<101 ], cost: 1+k 7: f1_0_main_Load -> f160_0_main_LE : arg1'=arg1P_1-10*k_1, arg2'=1-k_1, [ arg2>-1 && arg1P_1>-1 && arg1>0 && k_1>=0 && 10+arg1P_1-10*k_1>100 && 2-k_1>0 ], cost: 1+k_1 3: __init -> f1_0_main_Load : arg1'=arg1P_4, arg2'=arg2P_4, [], cost: 1 Eliminated locations (on tree-shaped paths): Start location: __init 8: __init -> f160_0_main_LE : arg1'=arg1P_1+11*k, arg2'=1+k, [ arg2P_4>-1 && arg1P_1>-1 && arg1P_4>0 && k>=0 && -11+arg1P_1+11*k<101 ], cost: 2+k 9: __init -> f160_0_main_LE : arg1'=arg1P_1-10*k_1, arg2'=1-k_1, [ arg2P_4>-1 && arg1P_1>-1 && arg1P_4>0 && k_1>=0 && 10+arg1P_1-10*k_1>100 && 2-k_1>0 ], cost: 2+k_1 ### Computing asymptotic complexity ### Fully simplified ITS problem Start location: __init 8: __init -> f160_0_main_LE : arg1'=arg1P_1+11*k, arg2'=1+k, [ arg2P_4>-1 && arg1P_1>-1 && arg1P_4>0 && k>=0 && -11+arg1P_1+11*k<101 ], cost: 2+k 9: __init -> f160_0_main_LE : arg1'=arg1P_1-10*k_1, arg2'=1-k_1, [ arg2P_4>-1 && arg1P_1>-1 && arg1P_4>0 && k_1>=0 && 10+arg1P_1-10*k_1>100 && 2-k_1>0 ], cost: 2+k_1 Computing asymptotic complexity for rule 8 Resulting cost 0 has complexity: Unknown Computing asymptotic complexity for rule 9 Simplified the guard: 9: __init -> f160_0_main_LE : arg1'=arg1P_1-10*k_1, arg2'=1-k_1, [ arg2P_4>-1 && arg1P_4>0 && k_1>=0 && 10+arg1P_1-10*k_1>100 && 2-k_1>0 ], cost: 2+k_1 Resulting cost 0 has complexity: Unknown Obtained the following overall complexity (w.r.t. the length of the input n): Complexity: Constant Cpx degree: 0 Solved cost: 1 Rule cost: 1 Rule guard: [] WORST_CASE(Omega(1),?)