WORST_CASE(Omega(1),?) ### Pre-processing the ITS problem ### Initial linear ITS problem Start location: l3 0: l0 -> l1 : x^0'=x^post_1, y^0'=y^post_1, [ 1<=x^0 && x^post_1==-y^0+x^0 && y^post_1==1+y^0 ], cost: 1 1: l1 -> l0 : x^0'=x^post_2, y^0'=y^post_2, [ x^0==x^post_2 && y^0==y^post_2 ], cost: 1 2: l2 -> l0 : x^0'=x^post_3, y^0'=y^post_3, [ x^0==x^post_3 && y^0==y^post_3 ], cost: 1 3: l3 -> l2 : x^0'=x^post_4, y^0'=y^post_4, [ x^0==x^post_4 && y^0==y^post_4 ], cost: 1 Checking for constant complexity: The following rule is satisfiable with cost >= 1, yielding constant complexity: 3: l3 -> l2 : x^0'=x^post_4, y^0'=y^post_4, [ x^0==x^post_4 && y^0==y^post_4 ], cost: 1 Simplified all rules, resulting in: Start location: l3 0: l0 -> l1 : x^0'=-y^0+x^0, y^0'=1+y^0, [ 1<=x^0 ], cost: 1 1: l1 -> l0 : [], cost: 1 2: l2 -> l0 : [], cost: 1 3: l3 -> l2 : [], cost: 1 ### Simplification by acceleration and chaining ### Eliminated locations (on linear paths): Start location: l3 5: l0 -> l0 : x^0'=-y^0+x^0, y^0'=1+y^0, [ 1<=x^0 ], cost: 2 4: l3 -> l0 : [], cost: 2 Accelerating simple loops of location 0. Accelerating the following rules: 5: l0 -> l0 : x^0'=-y^0+x^0, y^0'=1+y^0, [ 1<=x^0 ], cost: 2 [test] deduced pseudo-invariant -y^0<=0, also trying y^0<=-1 Accelerated rule 5 with backward acceleration, yielding the new rule 6. Accelerated rule 5 with backward acceleration, yielding the new rule 7. [accelerate] Nesting with 2 inner and 1 outer candidates Accelerated all simple loops using metering functions (where possible): Start location: l3 5: l0 -> l0 : x^0'=-y^0+x^0, y^0'=1+y^0, [ 1<=x^0 ], cost: 2 6: l0 -> l0 : x^0'=-y^0*k+x^0+1/2*k-1/2*k^2, y^0'=y^0+k, [ -y^0<=0 && k>=0 && 1<=-1/2-y^0*(-1+k)-1/2*(-1+k)^2+x^0+1/2*k ], cost: 2*k 7: l0 -> l0 : x^0'=-1/2*y^0+1/2*y^0^2+x^0, y^0'=0, [ 1<=x^0 && -y^0>=0 ], cost: -2*y^0 4: l3 -> l0 : [], cost: 2 Chained accelerated rules (with incoming rules): Start location: l3 4: l3 -> l0 : [], cost: 2 8: l3 -> l0 : x^0'=-y^0+x^0, y^0'=1+y^0, [ 1<=x^0 ], cost: 4 9: l3 -> l0 : x^0'=-y^0*k+x^0+1/2*k-1/2*k^2, y^0'=y^0+k, [ -y^0<=0 && k>=0 && 1<=-1/2-y^0*(-1+k)-1/2*(-1+k)^2+x^0+1/2*k ], cost: 2+2*k 10: l3 -> l0 : x^0'=-1/2*y^0+1/2*y^0^2+x^0, y^0'=0, [ 1<=x^0 && -y^0>=0 ], cost: 2-2*y^0 Removed unreachable locations (and leaf rules with constant cost): Start location: l3 9: l3 -> l0 : x^0'=-y^0*k+x^0+1/2*k-1/2*k^2, y^0'=y^0+k, [ -y^0<=0 && k>=0 && 1<=-1/2-y^0*(-1+k)-1/2*(-1+k)^2+x^0+1/2*k ], cost: 2+2*k 10: l3 -> l0 : x^0'=-1/2*y^0+1/2*y^0^2+x^0, y^0'=0, [ 1<=x^0 && -y^0>=0 ], cost: 2-2*y^0 ### Computing asymptotic complexity ### Fully simplified ITS problem Start location: l3 9: l3 -> l0 : x^0'=-y^0*k+x^0+1/2*k-1/2*k^2, y^0'=y^0+k, [ -y^0<=0 && k>=0 && 1<=-1/2-y^0*(-1+k)-1/2*(-1+k)^2+x^0+1/2*k ], cost: 2+2*k 10: l3 -> l0 : x^0'=-1/2*y^0+1/2*y^0^2+x^0, y^0'=0, [ 1<=x^0 && -y^0>=0 ], cost: 2-2*y^0 Computing asymptotic complexity for rule 9 Resulting cost 0 has complexity: Unknown Computing asymptotic complexity for rule 10 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: [ x^0==x^post_4 && y^0==y^post_4 ] WORST_CASE(Omega(1),?)