YES We show the termination of the TRS R: app(app(.(),|1|()),x) -> x app(app(.(),x),|1|()) -> x app(app(.(),app(i(),x)),x) -> |1|() app(app(.(),x),app(i(),x)) -> |1|() app(app(.(),app(i(),y)),app(app(.(),y),z)) -> z app(app(.(),y),app(app(.(),app(i(),y)),z)) -> z app(app(.(),app(app(.(),x),y)),z) -> app(app(.(),x),app(app(.(),y),z)) app(i(),|1|()) -> |1|() app(i(),app(i(),x)) -> x app(i(),app(app(.(),x),y)) -> app(app(.(),app(i(),y)),app(i(),x)) app(app(map(),f),nil()) -> nil() app(app(map(),f),app(app(cons(),x),xs)) -> app(app(cons(),app(f,x)),app(app(map(),f),xs)) app(app(filter(),f),nil()) -> nil() app(app(filter(),f),app(app(cons(),x),xs)) -> app(app(app(app(filter2(),app(f,x)),f),x),xs) app(app(app(app(filter2(),true()),f),x),xs) -> app(app(cons(),x),app(app(filter(),f),xs)) app(app(app(app(filter2(),false()),f),x),xs) -> app(app(filter(),f),xs) Instead we prove termination of the uncurried system: app(._0(),y) -> ._1(y) app(._1(x1),y) -> ._2(x1,y) app(cons_0(),y) -> cons_1(y) app(cons_1(x1),y) -> cons_2(x1,y) app(filter_0(),y) -> filter_1(y) app(filter_1(x1),y) -> filter_2(x1,y) app(filter2_0(),y) -> filter2_1(y) app(filter2_1(x1),y) -> filter2_2(x1,y) app(filter2_2(x1,x2),y) -> filter2_3(x1,x2,y) app(filter2_3(x1,x2,x3),y) -> filter2_4(x1,x2,x3,y) app(i_0(),y) -> i_1(y) app(map_0(),y) -> map_1(y) app(map_1(x1),y) -> map_2(x1,y) ._2(|1|_0(),x) -> x ._2(x,|1|_0()) -> x ._2(i_1(x),x) -> |1|_0() ._2(x,i_1(x)) -> |1|_0() ._2(i_1(y),._2(y,z)) -> z ._2(y,._2(i_1(y),z)) -> z ._2(._2(x,y),z) -> ._2(x,._2(y,z)) i_1(|1|_0()) -> |1|_0() i_1(i_1(x)) -> x i_1(._2(x,y)) -> ._2(i_1(y),i_1(x)) map_2(f,nil_0()) -> nil_0() map_2(f,cons_2(x,xs)) -> cons_2(app(f,x),map_2(f,xs)) filter_2(f,nil_0()) -> nil_0() filter_2(f,cons_2(x,xs)) -> filter2_4(app(f,x),f,x,xs) filter2_4(true_0(),f,x,xs) -> cons_2(x,filter_2(f,xs)) filter2_4(false_0(),f,x,xs) -> filter_2(f,xs) -- SCC decomposition. Consider the dependency pair problem (P, R), where P consists of p1: app#(._1(x1),y) -> ._2#(x1,y) p2: app#(filter_1(x1),y) -> filter_2#(x1,y) p3: app#(filter2_3(x1,x2,x3),y) -> filter2_4#(x1,x2,x3,y) p4: app#(i_0(),y) -> i_1#(y) p5: app#(map_1(x1),y) -> map_2#(x1,y) p6: ._2#(._2(x,y),z) -> ._2#(x,._2(y,z)) p7: ._2#(._2(x,y),z) -> ._2#(y,z) p8: i_1#(._2(x,y)) -> ._2#(i_1(y),i_1(x)) p9: i_1#(._2(x,y)) -> i_1#(y) p10: i_1#(._2(x,y)) -> i_1#(x) p11: map_2#(f,cons_2(x,xs)) -> app#(f,x) p12: map_2#(f,cons_2(x,xs)) -> map_2#(f,xs) p13: filter_2#(f,cons_2(x,xs)) -> filter2_4#(app(f,x),f,x,xs) p14: filter_2#(f,cons_2(x,xs)) -> app#(f,x) p15: filter2_4#(true_0(),f,x,xs) -> filter_2#(f,xs) p16: filter2_4#(false_0(),f,x,xs) -> filter_2#(f,xs) and R consists of: r1: app(._0(),y) -> ._1(y) r2: app(._1(x1),y) -> ._2(x1,y) r3: app(cons_0(),y) -> cons_1(y) r4: app(cons_1(x1),y) -> cons_2(x1,y) r5: app(filter_0(),y) -> filter_1(y) r6: app(filter_1(x1),y) -> filter_2(x1,y) r7: app(filter2_0(),y) -> filter2_1(y) r8: app(filter2_1(x1),y) -> filter2_2(x1,y) r9: app(filter2_2(x1,x2),y) -> filter2_3(x1,x2,y) r10: app(filter2_3(x1,x2,x3),y) -> filter2_4(x1,x2,x3,y) r11: app(i_0(),y) -> i_1(y) r12: app(map_0(),y) -> map_1(y) r13: app(map_1(x1),y) -> map_2(x1,y) r14: ._2(|1|_0(),x) -> x r15: ._2(x,|1|_0()) -> x r16: ._2(i_1(x),x) -> |1|_0() r17: ._2(x,i_1(x)) -> |1|_0() r18: ._2(i_1(y),._2(y,z)) -> z r19: ._2(y,._2(i_1(y),z)) -> z r20: ._2(._2(x,y),z) -> ._2(x,._2(y,z)) r21: i_1(|1|_0()) -> |1|_0() r22: i_1(i_1(x)) -> x r23: i_1(._2(x,y)) -> ._2(i_1(y),i_1(x)) r24: map_2(f,nil_0()) -> nil_0() r25: map_2(f,cons_2(x,xs)) -> cons_2(app(f,x),map_2(f,xs)) r26: filter_2(f,nil_0()) -> nil_0() r27: filter_2(f,cons_2(x,xs)) -> filter2_4(app(f,x),f,x,xs) r28: filter2_4(true_0(),f,x,xs) -> cons_2(x,filter_2(f,xs)) r29: filter2_4(false_0(),f,x,xs) -> filter_2(f,xs) The estimated dependency graph contains the following SCCs: {p2, p3, p5, p11, p12, p13, p14, p15, p16} {p9, p10} {p6, p7} -- Reduction pair. Consider the dependency pair problem (P, R), where P consists of p1: map_2#(f,cons_2(x,xs)) -> app#(f,x) p2: app#(map_1(x1),y) -> map_2#(x1,y) p3: map_2#(f,cons_2(x,xs)) -> map_2#(f,xs) p4: app#(filter2_3(x1,x2,x3),y) -> filter2_4#(x1,x2,x3,y) p5: filter2_4#(false_0(),f,x,xs) -> filter_2#(f,xs) p6: filter_2#(f,cons_2(x,xs)) -> app#(f,x) p7: app#(filter_1(x1),y) -> filter_2#(x1,y) p8: filter_2#(f,cons_2(x,xs)) -> filter2_4#(app(f,x),f,x,xs) p9: filter2_4#(true_0(),f,x,xs) -> filter_2#(f,xs) and R consists of: r1: app(._0(),y) -> ._1(y) r2: app(._1(x1),y) -> ._2(x1,y) r3: app(cons_0(),y) -> cons_1(y) r4: app(cons_1(x1),y) -> cons_2(x1,y) r5: app(filter_0(),y) -> filter_1(y) r6: app(filter_1(x1),y) -> filter_2(x1,y) r7: app(filter2_0(),y) -> filter2_1(y) r8: app(filter2_1(x1),y) -> filter2_2(x1,y) r9: app(filter2_2(x1,x2),y) -> filter2_3(x1,x2,y) r10: app(filter2_3(x1,x2,x3),y) -> filter2_4(x1,x2,x3,y) r11: app(i_0(),y) -> i_1(y) r12: app(map_0(),y) -> map_1(y) r13: app(map_1(x1),y) -> map_2(x1,y) r14: ._2(|1|_0(),x) -> x r15: ._2(x,|1|_0()) -> x r16: ._2(i_1(x),x) -> |1|_0() r17: ._2(x,i_1(x)) -> |1|_0() r18: ._2(i_1(y),._2(y,z)) -> z r19: ._2(y,._2(i_1(y),z)) -> z r20: ._2(._2(x,y),z) -> ._2(x,._2(y,z)) r21: i_1(|1|_0()) -> |1|_0() r22: i_1(i_1(x)) -> x r23: i_1(._2(x,y)) -> ._2(i_1(y),i_1(x)) r24: map_2(f,nil_0()) -> nil_0() r25: map_2(f,cons_2(x,xs)) -> cons_2(app(f,x),map_2(f,xs)) r26: filter_2(f,nil_0()) -> nil_0() r27: filter_2(f,cons_2(x,xs)) -> filter2_4(app(f,x),f,x,xs) r28: filter2_4(true_0(),f,x,xs) -> cons_2(x,filter_2(f,xs)) r29: filter2_4(false_0(),f,x,xs) -> filter_2(f,xs) The set of usable rules consists of r1, r2, r3, r4, r5, r6, r7, r8, r9, r10, r11, r12, r13, r14, r15, r16, r17, r18, r19, r20, r21, r22, r23, r24, r25, r26, r27, r28, r29 Take the reduction pair: generalized weighted path order (>=MG, >G) base order 1: trivial reduction triple (T x T, T x T, Φ) base order 2: lexicographic combination of reduction triples: 1. marked-algebra reduction triple (>=A, >=A!, >A!): max/plus interpretation on natural numbers: map_2#_A(x1,x2) = max{135, x2 + 89} cons_2_A(x1,x2) = max{32, x1 + 13, x2} app#_A(x1,x2) = max{135, x2 + 102} map_1_A(x1) = max{82, x1 + 56} filter2_3_A(x1,x2,x3) = max{x1 + 28, x2 + 102, x3 + 44} filter2_4#_A(x1,x2,x3,x4) = max{135, x4 + 102} false_0_A = 0 filter_2#_A(x1,x2) = max{135, x2 + 102} filter_1_A(x1) = x1 + 64 app_A(x1,x2) = max{120, x1 - 14, x2 + 116} true_0_A = 155 ._0_A = 0 ._1_A(x1) = x1 + 56 ._2_A(x1,x2) = max{117, x1, x2} cons_0_A = 13 cons_1_A(x1) = x1 + 45 filter_0_A = 13 filter_2_A(x1,x2) = x2 + 116 filter2_0_A = 60 filter2_1_A(x1) = x1 + 56 filter2_2_A(x1,x2) = max{x1 + 42, x2 + 116} filter2_4_A(x1,x2,x3,x4) = max{x3 + 13, x4 + 116} i_0_A = 13 i_1_A(x1) = max{120, x1 + 2} map_0_A = 0 map_2_A(x1,x2) = max{x1 - 1, x2 + 116} |1|_0_A = 118 nil_0_A = 52 map_2#!_A(x1,x2) = max{7, x1 - 28, x2 - 3} cons_2!_A(x1,x2) = 6 app#!_A(x1,x2) = max{9, x1 - 83, x2 - 2} map_1!_A(x1) = 4 filter2_3!_A(x1,x2,x3) = 1 filter2_4#!_A(x1,x2,x3,x4) = max{18, x1 - 156, x2 - 58, x3 - 40, x4 - 14} false_0!_A = 7 filter_2#!_A(x1,x2) = max{8, x1 - 58, x2 - 14} filter_1!_A(x1) = 7 app!_A(x1,x2) = max{121, x1 - 57, x2 + 3} true_0!_A = 9 ._0!_A = 0 ._1!_A(x1) = 0 ._2!_A(x1,x2) = 119 cons_0!_A = 1 cons_1!_A(x1) = max{0, x1 - 1} filter_0!_A = 8 filter_2!_A(x1,x2) = max{x1 + 6, x2 - 33} filter2_0!_A = 1 filter2_1!_A(x1) = max{2, x1 - 1} filter2_2!_A(x1,x2) = 121 filter2_4!_A(x1,x2,x3,x4) = max{x1 - 154, x2 + 6, x3 - 20, x4 - 33} i_0!_A = 121 i_1!_A(x1) = max{120, x1 - 1} map_0!_A = 1 map_2!_A(x1,x2) = max{26, x1 - 56, x2 - 53} |1|_0!_A = 118 nil_0!_A = 7 2. marked-algebra reduction triple (>=A, >=A!, >A!): max/plus interpretation on natural numbers: map_2#_A(x1,x2) = max{0, x1 - 10, x2 - 19} cons_2_A(x1,x2) = max{18, x1, x2} app#_A(x1,x2) = max{0, x1 - 22, x2 - 19} map_1_A(x1) = x1 + 12 filter2_3_A(x1,x2,x3) = max{x1 - 53, x2 + 2, x3 + 17} filter2_4#_A(x1,x2,x3,x4) = max{0, x1 - 75, x2 - 20, x3 - 19, x4 - 19} false_0_A = 58 filter_2#_A(x1,x2) = max{0, x1 - 20, x2 - 19} filter_1_A(x1) = x1 + 4 app_A(x1,x2) = max{56, x1 - 13, x2 + 17} true_0_A = 56 ._0_A = 0 ._1_A(x1) = x1 + 17 ._2_A(x1,x2) = max{18, x1, x2} cons_0_A = 12 cons_1_A(x1) = x1 + 17 filter_0_A = 12 filter_2_A(x1,x2) = max{20, x1 - 11, x2 + 1} filter2_0_A = 12 filter2_1_A(x1) = x1 + 12 filter2_2_A(x1,x2) = max{x1 - 1, x2 + 17} filter2_4_A(x1,x2,x3,x4) = max{20, x1 - 66, x2 - 11, x3 + 1, x4 + 1} i_0_A = 12 i_1_A(x1) = max{21, x1 + 1} map_0_A = 12 map_2_A(x1,x2) = max{56, x1 - 1, x2 + 17} |1|_0_A = 19 nil_0_A = 21 map_2#!_A(x1,x2) = max{6, x1 + 1, x2 - 12} cons_2!_A(x1,x2) = max{0, x2 - 55} app#!_A(x1,x2) = max{5, x1 - 5} map_1!_A(x1) = max{0, x1 - 34} filter2_3!_A(x1,x2,x3) = max{4, x1 - 57, x2 - 35, x3 - 20} filter2_4#!_A(x1,x2,x3,x4) = max{16, x1 - 57, x2 - 2, x4 - 2} false_0!_A = 1 filter_2#!_A(x1,x2) = max{4, x1 - 2, x2 - 2} filter_1!_A(x1) = 3 app!_A(x1,x2) = max{17, x1 - 35, x2 + 2} true_0!_A = 5 ._0!_A = 4 ._1!_A(x1) = max{3, x1 - 23} ._2!_A(x1,x2) = max{4, x1 - 22, x2 - 22} cons_0!_A = 1 cons_1!_A(x1) = max{0, x1 - 1} filter_0!_A = 3 filter_2!_A(x1,x2) = max{0, x1 - 34, x2 - 19} filter2_0!_A = 19 filter2_1!_A(x1) = 18 filter2_2!_A(x1,x2) = max{3, x1 - 58} filter2_4!_A(x1,x2,x3,x4) = max{0, x2 - 34, x3 - 19, x4 - 19} i_0!_A = 19 i_1!_A(x1) = max{18, x1 - 20} map_0!_A = 1 map_2!_A(x1,x2) = max{0, x1 - 34} |1|_0!_A = 0 nil_0!_A = 1 partial status: pi(map_2#) = [] pi(cons_2) = [] pi(app#) = [] pi(map_1) = [1] pi(filter2_3) = [2] pi(filter2_4#) = [] pi(false_0) = [] pi(filter_2#) = [] pi(filter_1) = [1] pi(app) = [1, 2] pi(true_0) = [] pi(._0) = [] pi(._1) = [1] pi(._2) = [1, 2] pi(cons_0) = [] pi(cons_1) = [] pi(filter_0) = [] pi(filter_2) = [1] pi(filter2_0) = [] pi(filter2_1) = [1] pi(filter2_2) = [1, 2] pi(filter2_4) = [2] pi(i_0) = [] pi(i_1) = [1] pi(map_0) = [] pi(map_2) = [1] pi(|1|_0) = [] pi(nil_0) = [] The following rules are removed: p1, p2, p4, p6, p7 -- SCC decomposition. Consider the dependency pair problem (P, R), where P consists of p1: map_2#(f,cons_2(x,xs)) -> map_2#(f,xs) p2: filter2_4#(false_0(),f,x,xs) -> filter_2#(f,xs) p3: filter_2#(f,cons_2(x,xs)) -> filter2_4#(app(f,x),f,x,xs) p4: filter2_4#(true_0(),f,x,xs) -> filter_2#(f,xs) and R consists of: r1: app(._0(),y) -> ._1(y) r2: app(._1(x1),y) -> ._2(x1,y) r3: app(cons_0(),y) -> cons_1(y) r4: app(cons_1(x1),y) -> cons_2(x1,y) r5: app(filter_0(),y) -> filter_1(y) r6: app(filter_1(x1),y) -> filter_2(x1,y) r7: app(filter2_0(),y) -> filter2_1(y) r8: app(filter2_1(x1),y) -> filter2_2(x1,y) r9: app(filter2_2(x1,x2),y) -> filter2_3(x1,x2,y) r10: app(filter2_3(x1,x2,x3),y) -> filter2_4(x1,x2,x3,y) r11: app(i_0(),y) -> i_1(y) r12: app(map_0(),y) -> map_1(y) r13: app(map_1(x1),y) -> map_2(x1,y) r14: ._2(|1|_0(),x) -> x r15: ._2(x,|1|_0()) -> x r16: ._2(i_1(x),x) -> |1|_0() r17: ._2(x,i_1(x)) -> |1|_0() r18: ._2(i_1(y),._2(y,z)) -> z r19: ._2(y,._2(i_1(y),z)) -> z r20: ._2(._2(x,y),z) -> ._2(x,._2(y,z)) r21: i_1(|1|_0()) -> |1|_0() r22: i_1(i_1(x)) -> x r23: i_1(._2(x,y)) -> ._2(i_1(y),i_1(x)) r24: map_2(f,nil_0()) -> nil_0() r25: map_2(f,cons_2(x,xs)) -> cons_2(app(f,x),map_2(f,xs)) r26: filter_2(f,nil_0()) -> nil_0() r27: filter_2(f,cons_2(x,xs)) -> filter2_4(app(f,x),f,x,xs) r28: filter2_4(true_0(),f,x,xs) -> cons_2(x,filter_2(f,xs)) r29: filter2_4(false_0(),f,x,xs) -> filter_2(f,xs) The estimated dependency graph contains the following SCCs: {p1} {p2, p3, p4} -- Reduction pair. Consider the dependency pair problem (P, R), where P consists of p1: map_2#(f,cons_2(x,xs)) -> map_2#(f,xs) and R consists of: r1: app(._0(),y) -> ._1(y) r2: app(._1(x1),y) -> ._2(x1,y) r3: app(cons_0(),y) -> cons_1(y) r4: app(cons_1(x1),y) -> cons_2(x1,y) r5: app(filter_0(),y) -> filter_1(y) r6: app(filter_1(x1),y) -> filter_2(x1,y) r7: app(filter2_0(),y) -> filter2_1(y) r8: app(filter2_1(x1),y) -> filter2_2(x1,y) r9: app(filter2_2(x1,x2),y) -> filter2_3(x1,x2,y) r10: app(filter2_3(x1,x2,x3),y) -> filter2_4(x1,x2,x3,y) r11: app(i_0(),y) -> i_1(y) r12: app(map_0(),y) -> map_1(y) r13: app(map_1(x1),y) -> map_2(x1,y) r14: ._2(|1|_0(),x) -> x r15: ._2(x,|1|_0()) -> x r16: ._2(i_1(x),x) -> |1|_0() r17: ._2(x,i_1(x)) -> |1|_0() r18: ._2(i_1(y),._2(y,z)) -> z r19: ._2(y,._2(i_1(y),z)) -> z r20: ._2(._2(x,y),z) -> ._2(x,._2(y,z)) r21: i_1(|1|_0()) -> |1|_0() r22: i_1(i_1(x)) -> x r23: i_1(._2(x,y)) -> ._2(i_1(y),i_1(x)) r24: map_2(f,nil_0()) -> nil_0() r25: map_2(f,cons_2(x,xs)) -> cons_2(app(f,x),map_2(f,xs)) r26: filter_2(f,nil_0()) -> nil_0() r27: filter_2(f,cons_2(x,xs)) -> filter2_4(app(f,x),f,x,xs) r28: filter2_4(true_0(),f,x,xs) -> cons_2(x,filter_2(f,xs)) r29: filter2_4(false_0(),f,x,xs) -> filter_2(f,xs) The set of usable rules consists of (no rules) Take the reduction pair: generalized weighted path order (>=MG, >G) base order 1: trivial reduction triple (T x T, T x T, Φ) base order 2: lexicographic combination of reduction triples: 1. marked-algebra reduction triple (>=A, >=A!, >A!): max/plus interpretation on natural numbers: map_2#_A(x1,x2) = 0 cons_2_A(x1,x2) = max{3, x1 - 11, x2 - 6} map_2#!_A(x1,x2) = max{1, x2 - 24} cons_2!_A(x1,x2) = max{2, x1 - 20, x2 - 23} 2. marked-algebra reduction triple (>=A, >=A!, >A!): max/plus interpretation on natural numbers: map_2#_A(x1,x2) = 0 cons_2_A(x1,x2) = max{4, x1 - 9, x2 - 4} map_2#!_A(x1,x2) = max{6, x1 - 1, x2 - 37} cons_2!_A(x1,x2) = max{5, x1 - 16, x2 - 37} partial status: pi(map_2#) = [2] pi(cons_2) = [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: filter2_4#(false_0(),f,x,xs) -> filter_2#(f,xs) p2: filter_2#(f,cons_2(x,xs)) -> filter2_4#(app(f,x),f,x,xs) p3: filter2_4#(true_0(),f,x,xs) -> filter_2#(f,xs) and R consists of: r1: app(._0(),y) -> ._1(y) r2: app(._1(x1),y) -> ._2(x1,y) r3: app(cons_0(),y) -> cons_1(y) r4: app(cons_1(x1),y) -> cons_2(x1,y) r5: app(filter_0(),y) -> filter_1(y) r6: app(filter_1(x1),y) -> filter_2(x1,y) r7: app(filter2_0(),y) -> filter2_1(y) r8: app(filter2_1(x1),y) -> filter2_2(x1,y) r9: app(filter2_2(x1,x2),y) -> filter2_3(x1,x2,y) r10: app(filter2_3(x1,x2,x3),y) -> filter2_4(x1,x2,x3,y) r11: app(i_0(),y) -> i_1(y) r12: app(map_0(),y) -> map_1(y) r13: app(map_1(x1),y) -> map_2(x1,y) r14: ._2(|1|_0(),x) -> x r15: ._2(x,|1|_0()) -> x r16: ._2(i_1(x),x) -> |1|_0() r17: ._2(x,i_1(x)) -> |1|_0() r18: ._2(i_1(y),._2(y,z)) -> z r19: ._2(y,._2(i_1(y),z)) -> z r20: ._2(._2(x,y),z) -> ._2(x,._2(y,z)) r21: i_1(|1|_0()) -> |1|_0() r22: i_1(i_1(x)) -> x r23: i_1(._2(x,y)) -> ._2(i_1(y),i_1(x)) r24: map_2(f,nil_0()) -> nil_0() r25: map_2(f,cons_2(x,xs)) -> cons_2(app(f,x),map_2(f,xs)) r26: filter_2(f,nil_0()) -> nil_0() r27: filter_2(f,cons_2(x,xs)) -> filter2_4(app(f,x),f,x,xs) r28: filter2_4(true_0(),f,x,xs) -> cons_2(x,filter_2(f,xs)) r29: filter2_4(false_0(),f,x,xs) -> filter_2(f,xs) The set of usable rules consists of (no rules) Take the reduction pair: generalized weighted path order (>=MG, >G) base order 1: trivial reduction triple (T x T, T x T, Φ) base order 2: lexicographic combination of reduction triples: 1. marked-algebra reduction triple (>=A, >=A!, >A!): max/plus interpretation on natural numbers: filter2_4#_A(x1,x2,x3,x4) = max{13, x2 - 1, x4 - 1} false_0_A = 5 filter_2#_A(x1,x2) = max{13, x1 - 1, x2 - 8} cons_2_A(x1,x2) = max{20, x1 + 9, x2 + 7} app_A(x1,x2) = 5 true_0_A = 5 filter2_4#!_A(x1,x2,x3,x4) = max{x3 + 5, x4 + 3} false_0!_A = 5 filter_2#!_A(x1,x2) = max{4, x2 - 3} cons_2!_A(x1,x2) = 2 app!_A(x1,x2) = max{0, x2 - 9} true_0!_A = 1 2. marked-algebra reduction triple (>=A, >=A!, >A!): max/plus interpretation on natural numbers: filter2_4#_A(x1,x2,x3,x4) = max{1, x2 - 1, x3 - 1, x4 - 3} false_0_A = 18 filter_2#_A(x1,x2) = max{1, x1 - 1, x2 - 6} cons_2_A(x1,x2) = max{x1 + 6, x2 + 3} app_A(x1,x2) = max{25, x1 - 4} true_0_A = 18 filter2_4#!_A(x1,x2,x3,x4) = max{x2 + 1, x3 - 1, x4 - 4} false_0!_A = 6 filter_2#!_A(x1,x2) = max{x1 + 2, x2 - 6} cons_2!_A(x1,x2) = 0 app!_A(x1,x2) = max{5, x1 - 11, x2 + 2} true_0!_A = 6 partial status: pi(filter2_4#) = [4] pi(false_0) = [] pi(filter_2#) = [2] pi(cons_2) = [2] pi(app) = [1, 2] pi(true_0) = [] The following rules are removed: p1, p2, p3 Then no dependency pair remains. -- Reduction pair. Consider the dependency pair problem (P, R), where P consists of p1: i_1#(._2(x,y)) -> i_1#(x) p2: i_1#(._2(x,y)) -> i_1#(y) and R consists of: r1: app(._0(),y) -> ._1(y) r2: app(._1(x1),y) -> ._2(x1,y) r3: app(cons_0(),y) -> cons_1(y) r4: app(cons_1(x1),y) -> cons_2(x1,y) r5: app(filter_0(),y) -> filter_1(y) r6: app(filter_1(x1),y) -> filter_2(x1,y) r7: app(filter2_0(),y) -> filter2_1(y) r8: app(filter2_1(x1),y) -> filter2_2(x1,y) r9: app(filter2_2(x1,x2),y) -> filter2_3(x1,x2,y) r10: app(filter2_3(x1,x2,x3),y) -> filter2_4(x1,x2,x3,y) r11: app(i_0(),y) -> i_1(y) r12: app(map_0(),y) -> map_1(y) r13: app(map_1(x1),y) -> map_2(x1,y) r14: ._2(|1|_0(),x) -> x r15: ._2(x,|1|_0()) -> x r16: ._2(i_1(x),x) -> |1|_0() r17: ._2(x,i_1(x)) -> |1|_0() r18: ._2(i_1(y),._2(y,z)) -> z r19: ._2(y,._2(i_1(y),z)) -> z r20: ._2(._2(x,y),z) -> ._2(x,._2(y,z)) r21: i_1(|1|_0()) -> |1|_0() r22: i_1(i_1(x)) -> x r23: i_1(._2(x,y)) -> ._2(i_1(y),i_1(x)) r24: map_2(f,nil_0()) -> nil_0() r25: map_2(f,cons_2(x,xs)) -> cons_2(app(f,x),map_2(f,xs)) r26: filter_2(f,nil_0()) -> nil_0() r27: filter_2(f,cons_2(x,xs)) -> filter2_4(app(f,x),f,x,xs) r28: filter2_4(true_0(),f,x,xs) -> cons_2(x,filter_2(f,xs)) r29: filter2_4(false_0(),f,x,xs) -> filter_2(f,xs) The set of usable rules consists of (no rules) Take the reduction pair: generalized weighted path order (>=MG, >G) base order 1: trivial reduction triple (T x T, T x T, Φ) base order 2: lexicographic combination of reduction triples: 1. marked-algebra reduction triple (>=A, >=A!, >A!): max/plus interpretation on natural numbers: i_1#_A(x1) = 0 ._2_A(x1,x2) = max{3, x1 - 4, x2 - 5} i_1#!_A(x1) = max{1, x1 - 12} ._2!_A(x1,x2) = max{5, x1 - 12, x2 - 4} 2. marked-algebra reduction triple (>=A, >=A!, >A!): max/plus interpretation on natural numbers: i_1#_A(x1) = 0 ._2_A(x1,x2) = max{6, x1 - 7, x2 - 8} i_1#!_A(x1) = max{1, x1 - 38} ._2!_A(x1,x2) = max{6, x1 - 38, x2 - 34} partial status: pi(i_1#) = [1] pi(._2) = [1, 2] The following rules are removed: p1, p2 Then no dependency pair remains. -- Reduction pair. Consider the dependency pair problem (P, R), where P consists of p1: ._2#(._2(x,y),z) -> ._2#(x,._2(y,z)) p2: ._2#(._2(x,y),z) -> ._2#(y,z) and R consists of: r1: app(._0(),y) -> ._1(y) r2: app(._1(x1),y) -> ._2(x1,y) r3: app(cons_0(),y) -> cons_1(y) r4: app(cons_1(x1),y) -> cons_2(x1,y) r5: app(filter_0(),y) -> filter_1(y) r6: app(filter_1(x1),y) -> filter_2(x1,y) r7: app(filter2_0(),y) -> filter2_1(y) r8: app(filter2_1(x1),y) -> filter2_2(x1,y) r9: app(filter2_2(x1,x2),y) -> filter2_3(x1,x2,y) r10: app(filter2_3(x1,x2,x3),y) -> filter2_4(x1,x2,x3,y) r11: app(i_0(),y) -> i_1(y) r12: app(map_0(),y) -> map_1(y) r13: app(map_1(x1),y) -> map_2(x1,y) r14: ._2(|1|_0(),x) -> x r15: ._2(x,|1|_0()) -> x r16: ._2(i_1(x),x) -> |1|_0() r17: ._2(x,i_1(x)) -> |1|_0() r18: ._2(i_1(y),._2(y,z)) -> z r19: ._2(y,._2(i_1(y),z)) -> z r20: ._2(._2(x,y),z) -> ._2(x,._2(y,z)) r21: i_1(|1|_0()) -> |1|_0() r22: i_1(i_1(x)) -> x r23: i_1(._2(x,y)) -> ._2(i_1(y),i_1(x)) r24: map_2(f,nil_0()) -> nil_0() r25: map_2(f,cons_2(x,xs)) -> cons_2(app(f,x),map_2(f,xs)) r26: filter_2(f,nil_0()) -> nil_0() r27: filter_2(f,cons_2(x,xs)) -> filter2_4(app(f,x),f,x,xs) r28: filter2_4(true_0(),f,x,xs) -> cons_2(x,filter_2(f,xs)) r29: filter2_4(false_0(),f,x,xs) -> filter_2(f,xs) The set of usable rules consists of r14, r15, r16, r17, r18, r19, r20 Take the reduction pair: generalized weighted path order (>=MG, >G) base order 1: trivial reduction triple (T x T, T x T, Φ) base order 2: lexicographic combination of reduction triples: 1. marked-algebra reduction triple (>=A, >=A!, >A!): max/plus interpretation on natural numbers: ._2#_A(x1,x2) = max{0, x1 - 8, x2 - 11} ._2_A(x1,x2) = max{7, x1 + 3, x2} |1|_0_A = 6 i_1_A(x1) = max{2, x1 - 8} ._2#!_A(x1,x2) = max{4, x1 - 61, x2 - 66} ._2!_A(x1,x2) = max{3, x1 - 51, x2 - 60} |1|_0!_A = 0 i_1!_A(x1) = max{1, x1 - 72} 2. marked-algebra reduction triple (>=A, >=A!, >A!): max/plus interpretation on natural numbers: ._2#_A(x1,x2) = max{0, x1 - 5, x2 - 6} ._2_A(x1,x2) = max{4, x1 + 1, x2} |1|_0_A = 4 i_1_A(x1) = max{2, x1 - 5} ._2#!_A(x1,x2) = max{9, x1 - 5, x2 - 6} ._2!_A(x1,x2) = max{8, x1 - 5, x2 - 6} |1|_0!_A = 0 i_1!_A(x1) = max{7, x1 - 13} partial status: pi(._2#) = [1] pi(._2) = [1, 2] pi(|1|_0) = [] pi(i_1) = [1] The following rules are removed: p1, p2 Then no dependency pair remains.