YES We show the termination of the TRS R: app(nil(),k) -> k app(l,nil()) -> l app(cons(x,l),k) -> cons(x,app(l,k)) sum(cons(x,nil())) -> cons(x,nil()) sum(cons(x,cons(y,l))) -> sum(cons(plus(x,y),l)) sum(app(l,cons(x,cons(y,k)))) -> sum(app(l,sum(cons(x,cons(y,k))))) plus(|0|(),y) -> y plus(s(x),y) -> s(plus(x,y)) sum(plus(cons(|0|(),x),cons(y,l))) -> pred(sum(cons(s(x),cons(y,l)))) pred(cons(s(x),nil())) -> cons(x,nil()) -- SCC decomposition. Consider the dependency pair problem (P, R), where P consists of p1: app#(cons(x,l),k) -> app#(l,k) p2: sum#(cons(x,cons(y,l))) -> sum#(cons(plus(x,y),l)) p3: sum#(cons(x,cons(y,l))) -> plus#(x,y) p4: sum#(app(l,cons(x,cons(y,k)))) -> sum#(app(l,sum(cons(x,cons(y,k))))) p5: sum#(app(l,cons(x,cons(y,k)))) -> app#(l,sum(cons(x,cons(y,k)))) p6: sum#(app(l,cons(x,cons(y,k)))) -> sum#(cons(x,cons(y,k))) p7: plus#(s(x),y) -> plus#(x,y) p8: sum#(plus(cons(|0|(),x),cons(y,l))) -> pred#(sum(cons(s(x),cons(y,l)))) p9: sum#(plus(cons(|0|(),x),cons(y,l))) -> sum#(cons(s(x),cons(y,l))) and R consists of: r1: app(nil(),k) -> k r2: app(l,nil()) -> l r3: app(cons(x,l),k) -> cons(x,app(l,k)) r4: sum(cons(x,nil())) -> cons(x,nil()) r5: sum(cons(x,cons(y,l))) -> sum(cons(plus(x,y),l)) r6: sum(app(l,cons(x,cons(y,k)))) -> sum(app(l,sum(cons(x,cons(y,k))))) r7: plus(|0|(),y) -> y r8: plus(s(x),y) -> s(plus(x,y)) r9: sum(plus(cons(|0|(),x),cons(y,l))) -> pred(sum(cons(s(x),cons(y,l)))) r10: pred(cons(s(x),nil())) -> cons(x,nil()) The estimated dependency graph contains the following SCCs: {p4} {p1} {p2} {p7} -- Reduction pair. Consider the dependency pair problem (P, R), where P consists of p1: sum#(app(l,cons(x,cons(y,k)))) -> sum#(app(l,sum(cons(x,cons(y,k))))) and R consists of: r1: app(nil(),k) -> k r2: app(l,nil()) -> l r3: app(cons(x,l),k) -> cons(x,app(l,k)) r4: sum(cons(x,nil())) -> cons(x,nil()) r5: sum(cons(x,cons(y,l))) -> sum(cons(plus(x,y),l)) r6: sum(app(l,cons(x,cons(y,k)))) -> sum(app(l,sum(cons(x,cons(y,k))))) r7: plus(|0|(),y) -> y r8: plus(s(x),y) -> s(plus(x,y)) r9: sum(plus(cons(|0|(),x),cons(y,l))) -> pred(sum(cons(s(x),cons(y,l)))) r10: pred(cons(s(x),nil())) -> cons(x,nil()) The set of usable rules consists of r1, r2, r3, r4, r5, r7, r8 Take the reduction pair: generalized weighted path order (>=MG, >G) base order 1: matrix interpretation with standard point-wise order: carrier: N^1 order: standard order interpretations: sum#_A(x1) = x1 app_A(x1,x2) = x1 + x2 + 1 cons_A(x1,x2) = 2 sum_A(x1) = 2 nil_A() = 2 plus_A(x1,x2) = x2 + 3 |0|_A() = 1 s_A(x1) = 2 base order 2: marked-algebra reduction triple (>=A, >=A!, >A!): max/plus interpretation on natural numbers: sum#_A(x1) = max{0, x1 - 91} app_A(x1,x2) = max{65, x1 + 64, x2 + 50} cons_A(x1,x2) = max{17, x1 + 12, x2} sum_A(x1) = max{40, x1} nil_A = 8 plus_A(x1,x2) = max{18, x1, x2} |0|_A = 51 s_A(x1) = 48 sum#!_A(x1) = max{26, x1 - 23} app!_A(x1,x2) = max{89, x1 + 65, x2 + 49} cons!_A(x1,x2) = max{50, x2 + 43} sum!_A(x1) = 54 nil!_A = 52 plus!_A(x1,x2) = 0 |0|!_A = 61 s!_A(x1) = 53 partial status: pi(sum#) = [1] pi(app) = [2] pi(cons) = [] pi(sum) = [] pi(nil) = [] pi(plus) = [2] pi(|0|) = [] pi(s) = [] The following rules are removed: p1 Then no dependency pair remains. -- Reduction pair. Consider the dependency pair problem (P, R), where P consists of p1: app#(cons(x,l),k) -> app#(l,k) and R consists of: r1: app(nil(),k) -> k r2: app(l,nil()) -> l r3: app(cons(x,l),k) -> cons(x,app(l,k)) r4: sum(cons(x,nil())) -> cons(x,nil()) r5: sum(cons(x,cons(y,l))) -> sum(cons(plus(x,y),l)) r6: sum(app(l,cons(x,cons(y,k)))) -> sum(app(l,sum(cons(x,cons(y,k))))) r7: plus(|0|(),y) -> y r8: plus(s(x),y) -> s(plus(x,y)) r9: sum(plus(cons(|0|(),x),cons(y,l))) -> pred(sum(cons(s(x),cons(y,l)))) r10: pred(cons(s(x),nil())) -> cons(x,nil()) The set of usable rules consists of (no rules) Take the reduction pair: generalized weighted path order (>=MG, >G) base order 1: matrix interpretation with standard point-wise order: carrier: N^1 order: standard order interpretations: app#_A(x1,x2) = x1 cons_A(x1,x2) = x2 + 6 base order 2: marked-algebra reduction triple (>=A, >=A!, >A!): max/plus interpretation on natural numbers: app#_A(x1,x2) = max{0, x1 - 12} cons_A(x1,x2) = max{25, x1 - 45, x2 + 11} app#!_A(x1,x2) = max{3, x1 - 26, x2 - 1} cons!_A(x1,x2) = max{x1 + 2, x2 - 121} partial status: pi(app#) = [] pi(cons) = [2] The following rules are removed: p1 Then no dependency pair remains. -- Reduction pair. Consider the dependency pair problem (P, R), where P consists of p1: sum#(cons(x,cons(y,l))) -> sum#(cons(plus(x,y),l)) and R consists of: r1: app(nil(),k) -> k r2: app(l,nil()) -> l r3: app(cons(x,l),k) -> cons(x,app(l,k)) r4: sum(cons(x,nil())) -> cons(x,nil()) r5: sum(cons(x,cons(y,l))) -> sum(cons(plus(x,y),l)) r6: sum(app(l,cons(x,cons(y,k)))) -> sum(app(l,sum(cons(x,cons(y,k))))) r7: plus(|0|(),y) -> y r8: plus(s(x),y) -> s(plus(x,y)) r9: sum(plus(cons(|0|(),x),cons(y,l))) -> pred(sum(cons(s(x),cons(y,l)))) r10: pred(cons(s(x),nil())) -> cons(x,nil()) The set of usable rules consists of r7, r8 Take the reduction pair: generalized weighted path order (>=MG, >G) base order 1: matrix interpretation with standard point-wise order: carrier: N^1 order: standard order interpretations: sum#_A(x1) = 2 cons_A(x1,x2) = 3 plus_A(x1,x2) = x2 + 5 |0|_A() = 5 s_A(x1) = 4 base order 2: marked-algebra reduction triple (>=A, >=A!, >A!): max/plus interpretation on natural numbers: sum#_A(x1) = max{50, x1 + 39} cons_A(x1,x2) = max{x1 - 20, x2 + 6} plus_A(x1,x2) = max{31, x2 + 3} |0|_A = 55 s_A(x1) = max{3, x1} sum#!_A(x1) = max{0, x1 - 11} cons!_A(x1,x2) = max{0, x2 - 8} plus!_A(x1,x2) = max{52, x1 - 42, x2 - 13} |0|!_A = 1 s!_A(x1) = max{51, x1 - 43} partial status: pi(sum#) = [] pi(cons) = [] pi(plus) = [2] pi(|0|) = [] pi(s) = [] The following rules are removed: p1 Then no dependency pair remains. -- Reduction pair. Consider the dependency pair problem (P, R), where P consists of p1: plus#(s(x),y) -> plus#(x,y) and R consists of: r1: app(nil(),k) -> k r2: app(l,nil()) -> l r3: app(cons(x,l),k) -> cons(x,app(l,k)) r4: sum(cons(x,nil())) -> cons(x,nil()) r5: sum(cons(x,cons(y,l))) -> sum(cons(plus(x,y),l)) r6: sum(app(l,cons(x,cons(y,k)))) -> sum(app(l,sum(cons(x,cons(y,k))))) r7: plus(|0|(),y) -> y r8: plus(s(x),y) -> s(plus(x,y)) r9: sum(plus(cons(|0|(),x),cons(y,l))) -> pred(sum(cons(s(x),cons(y,l)))) r10: pred(cons(s(x),nil())) -> cons(x,nil()) The set of usable rules consists of (no rules) Take the reduction pair: generalized weighted path order (>=MG, >G) base order 1: matrix interpretation with standard point-wise order: carrier: N^1 order: standard order interpretations: plus#_A(x1,x2) = x1 + x2 + 7 s_A(x1) = x1 + 6 base order 2: marked-algebra reduction triple (>=A, >=A!, >A!): max/plus interpretation on natural numbers: plus#_A(x1,x2) = 0 s_A(x1) = max{13, x1 - 4} plus#!_A(x1,x2) = max{30, x2 - 1} s!_A(x1) = max{29, x1 - 9} partial status: pi(plus#) = [1, 2] pi(s) = [] The following rules are removed: p1 Then no dependency pair remains.