YES We show the termination of the TRS R: app(D(),t()) -> |1|() app(D(),constant()) -> |0|() app(D(),app(app(+(),x),y)) -> app(app(+(),app(D(),x)),app(D(),y)) app(D(),app(app(*(),x),y)) -> app(app(+(),app(app(*(),y),app(D(),x))),app(app(*(),x),app(D(),y))) app(D(),app(app(-(),x),y)) -> app(app(-(),app(D(),x)),app(D(),y)) app(D(),app(minus(),x)) -> app(minus(),app(D(),x)) app(D(),app(app(div(),x),y)) -> app(app(-(),app(app(div(),app(D(),x)),y)),app(app(div(),app(app(*(),x),app(D(),y))),app(app(pow(),y),|2|()))) app(D(),app(ln(),x)) -> app(app(div(),app(D(),x)),x) app(D(),app(app(pow(),x),y)) -> app(app(+(),app(app(*(),app(app(*(),y),app(app(pow(),x),app(app(-(),y),|1|())))),app(D(),x))),app(app(*(),app(app(*(),app(app(pow(),x),y)),app(ln(),x))),app(D(),y))) 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(+_0(),y) -> +_1(y) app(+_1(x1),y) -> +_2(x1,y) app(-_0(),y) -> -_1(y) app(-_1(x1),y) -> -_2(x1,y) app(D_0(),y) -> D_1(y) app(cons_0(),y) -> cons_1(y) app(cons_1(x1),y) -> cons_2(x1,y) app(div_0(),y) -> div_1(y) app(div_1(x1),y) -> div_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(ln_0(),y) -> ln_1(y) app(map_0(),y) -> map_1(y) app(map_1(x1),y) -> map_2(x1,y) app(minus_0(),y) -> minus_1(y) app(pow_0(),y) -> pow_1(y) app(pow_1(x1),y) -> pow_2(x1,y) D_1(t_0()) -> |1|_0() D_1(constant_0()) -> |0|_0() D_1(+_2(x,y)) -> +_2(D_1(x),D_1(y)) D_1(*_2(x,y)) -> +_2(*_2(y,D_1(x)),*_2(x,D_1(y))) D_1(-_2(x,y)) -> -_2(D_1(x),D_1(y)) D_1(minus_1(x)) -> minus_1(D_1(x)) D_1(div_2(x,y)) -> -_2(div_2(D_1(x),y),div_2(*_2(x,D_1(y)),pow_2(y,|2|_0()))) D_1(ln_1(x)) -> div_2(D_1(x),x) D_1(pow_2(x,y)) -> +_2(*_2(*_2(y,pow_2(x,-_2(y,|1|_0()))),D_1(x)),*_2(*_2(pow_2(x,y),ln_1(x)),D_1(y))) 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#(D_0(),y) -> D_1#(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#(map_1(x1),y) -> map_2#(x1,y) p5: D_1#(+_2(x,y)) -> D_1#(x) p6: D_1#(+_2(x,y)) -> D_1#(y) p7: D_1#(*_2(x,y)) -> D_1#(x) p8: D_1#(*_2(x,y)) -> D_1#(y) p9: D_1#(-_2(x,y)) -> D_1#(x) p10: D_1#(-_2(x,y)) -> D_1#(y) p11: D_1#(minus_1(x)) -> D_1#(x) p12: D_1#(div_2(x,y)) -> D_1#(x) p13: D_1#(div_2(x,y)) -> D_1#(y) p14: D_1#(ln_1(x)) -> D_1#(x) p15: D_1#(pow_2(x,y)) -> D_1#(x) p16: D_1#(pow_2(x,y)) -> D_1#(y) p17: map_2#(f,cons_2(x,xs)) -> app#(f,x) p18: map_2#(f,cons_2(x,xs)) -> map_2#(f,xs) p19: filter_2#(f,cons_2(x,xs)) -> filter2_4#(app(f,x),f,x,xs) p20: filter_2#(f,cons_2(x,xs)) -> app#(f,x) p21: filter2_4#(true_0(),f,x,xs) -> filter_2#(f,xs) p22: 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(+_0(),y) -> +_1(y) r4: app(+_1(x1),y) -> +_2(x1,y) r5: app(-_0(),y) -> -_1(y) r6: app(-_1(x1),y) -> -_2(x1,y) r7: app(D_0(),y) -> D_1(y) r8: app(cons_0(),y) -> cons_1(y) r9: app(cons_1(x1),y) -> cons_2(x1,y) r10: app(div_0(),y) -> div_1(y) r11: app(div_1(x1),y) -> div_2(x1,y) r12: app(filter_0(),y) -> filter_1(y) r13: app(filter_1(x1),y) -> filter_2(x1,y) r14: app(filter2_0(),y) -> filter2_1(y) r15: app(filter2_1(x1),y) -> filter2_2(x1,y) r16: app(filter2_2(x1,x2),y) -> filter2_3(x1,x2,y) r17: app(filter2_3(x1,x2,x3),y) -> filter2_4(x1,x2,x3,y) r18: app(ln_0(),y) -> ln_1(y) r19: app(map_0(),y) -> map_1(y) r20: app(map_1(x1),y) -> map_2(x1,y) r21: app(minus_0(),y) -> minus_1(y) r22: app(pow_0(),y) -> pow_1(y) r23: app(pow_1(x1),y) -> pow_2(x1,y) r24: D_1(t_0()) -> |1|_0() r25: D_1(constant_0()) -> |0|_0() r26: D_1(+_2(x,y)) -> +_2(D_1(x),D_1(y)) r27: D_1(*_2(x,y)) -> +_2(*_2(y,D_1(x)),*_2(x,D_1(y))) r28: D_1(-_2(x,y)) -> -_2(D_1(x),D_1(y)) r29: D_1(minus_1(x)) -> minus_1(D_1(x)) r30: D_1(div_2(x,y)) -> -_2(div_2(D_1(x),y),div_2(*_2(x,D_1(y)),pow_2(y,|2|_0()))) r31: D_1(ln_1(x)) -> div_2(D_1(x),x) r32: D_1(pow_2(x,y)) -> +_2(*_2(*_2(y,pow_2(x,-_2(y,|1|_0()))),D_1(x)),*_2(*_2(pow_2(x,y),ln_1(x)),D_1(y))) r33: map_2(f,nil_0()) -> nil_0() r34: map_2(f,cons_2(x,xs)) -> cons_2(app(f,x),map_2(f,xs)) r35: filter_2(f,nil_0()) -> nil_0() r36: filter_2(f,cons_2(x,xs)) -> filter2_4(app(f,x),f,x,xs) r37: filter2_4(true_0(),f,x,xs) -> cons_2(x,filter_2(f,xs)) r38: filter2_4(false_0(),f,x,xs) -> filter_2(f,xs) The estimated dependency graph contains the following SCCs: {p2, p3, p4, p17, p18, p19, p20, p21, p22} {p5, p6, p7, p8, p9, p10, p11, p12, p13, p14, p15, p16} -- 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(+_0(),y) -> +_1(y) r4: app(+_1(x1),y) -> +_2(x1,y) r5: app(-_0(),y) -> -_1(y) r6: app(-_1(x1),y) -> -_2(x1,y) r7: app(D_0(),y) -> D_1(y) r8: app(cons_0(),y) -> cons_1(y) r9: app(cons_1(x1),y) -> cons_2(x1,y) r10: app(div_0(),y) -> div_1(y) r11: app(div_1(x1),y) -> div_2(x1,y) r12: app(filter_0(),y) -> filter_1(y) r13: app(filter_1(x1),y) -> filter_2(x1,y) r14: app(filter2_0(),y) -> filter2_1(y) r15: app(filter2_1(x1),y) -> filter2_2(x1,y) r16: app(filter2_2(x1,x2),y) -> filter2_3(x1,x2,y) r17: app(filter2_3(x1,x2,x3),y) -> filter2_4(x1,x2,x3,y) r18: app(ln_0(),y) -> ln_1(y) r19: app(map_0(),y) -> map_1(y) r20: app(map_1(x1),y) -> map_2(x1,y) r21: app(minus_0(),y) -> minus_1(y) r22: app(pow_0(),y) -> pow_1(y) r23: app(pow_1(x1),y) -> pow_2(x1,y) r24: D_1(t_0()) -> |1|_0() r25: D_1(constant_0()) -> |0|_0() r26: D_1(+_2(x,y)) -> +_2(D_1(x),D_1(y)) r27: D_1(*_2(x,y)) -> +_2(*_2(y,D_1(x)),*_2(x,D_1(y))) r28: D_1(-_2(x,y)) -> -_2(D_1(x),D_1(y)) r29: D_1(minus_1(x)) -> minus_1(D_1(x)) r30: D_1(div_2(x,y)) -> -_2(div_2(D_1(x),y),div_2(*_2(x,D_1(y)),pow_2(y,|2|_0()))) r31: D_1(ln_1(x)) -> div_2(D_1(x),x) r32: D_1(pow_2(x,y)) -> +_2(*_2(*_2(y,pow_2(x,-_2(y,|1|_0()))),D_1(x)),*_2(*_2(pow_2(x,y),ln_1(x)),D_1(y))) r33: map_2(f,nil_0()) -> nil_0() r34: map_2(f,cons_2(x,xs)) -> cons_2(app(f,x),map_2(f,xs)) r35: filter_2(f,nil_0()) -> nil_0() r36: filter_2(f,cons_2(x,xs)) -> filter2_4(app(f,x),f,x,xs) r37: filter2_4(true_0(),f,x,xs) -> cons_2(x,filter_2(f,xs)) r38: 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, r30, r31, r32, r33, r34, r35, r36, r37, r38 Take the reduction pair: generalized weighted path order (>=MG, >G) base order 1: max/plus interpretation on natural numbers: map_2#_A(x1,x2) = x1 + 26 cons_2_A(x1,x2) = 0 app#_A(x1,x2) = max{24, x1 + 22} map_1_A(x1) = max{20, x1 + 5} filter2_3_A(x1,x2,x3) = max{25, x1 - 23, x2 + 23, x3 - 19} filter2_4#_A(x1,x2,x3,x4) = max{47, x2 + 23} false_0_A = 27 filter_2#_A(x1,x2) = max{47, x1 + 23} filter_1_A(x1) = max{27, x1 + 9} app_A(x1,x2) = max{22, x1 + 18, x2 + 10} true_0_A = 19 *_0_A = 6 *_1_A(x1) = max{23, x1 - 19} *_2_A(x1,x2) = max{39, x2 + 1} +_0_A = 6 +_1_A(x1) = max{23, x1 + 3} +_2_A(x1,x2) = max{2, x1 - 39} -_0_A = 1 -_1_A(x1) = max{9, x1 - 19} -_2_A(x1,x2) = max{24, x1 - 25, x2 - 26} D_0_A = 25 D_1_A(x1) = 24 cons_0_A = 6 cons_1_A(x1) = max{23, x1 - 1} div_0_A = 1 div_1_A(x1) = max{0, x1 - 8} div_2_A(x1,x2) = max{11, x1} filter_0_A = 10 filter_2_A(x1,x2) = 26 filter2_0_A = 1 filter2_1_A(x1) = max{20, x1 - 57} filter2_2_A(x1,x2) = max{21, x1 - 40, x2 + 6} filter2_4_A(x1,x2,x3,x4) = 26 ln_0_A = 40 ln_1_A(x1) = max{39, x1 - 12} map_0_A = 1 map_2_A(x1,x2) = max{24, x2 + 3} minus_0_A = 24 minus_1_A(x1) = 23 pow_0_A = 1 pow_1_A(x1) = max{21, x1 - 1} pow_2_A(x1,x2) = max{38, x1, x2} t_0_A = 24 |1|_0_A = 23 constant_0_A = 2 |0|_0_A = 1 |2|_0_A = 12 nil_0_A = 25 base order 2: marked-algebra reduction triple (>=A, >=A!, >A!): max/plus interpretation on natural numbers: map_2#_A(x1,x2) = max{0, x1 - 35, x2 - 55} cons_2_A(x1,x2) = max{11, x1 + 5, x2} app#_A(x1,x2) = max{0, x1 - 40, x2 - 50} map_1_A(x1) = max{28, x1 + 5} filter2_3_A(x1,x2,x3) = max{28, x1 - 30, x2 + 27, x3 - 24} filter2_4#_A(x1,x2,x3,x4) = max{0, x1 - 70, x2 - 40, x3 - 64, x4 - 55} false_0_A = 69 filter_2#_A(x1,x2) = max{0, x1 - 40, x2 - 55} filter_1_A(x1) = max{38, x1 + 5} app_A(x1,x2) = max{x1 + 29, x2 + 5} true_0_A = 69 *_0_A = 47 *_1_A(x1) = max{76, x1 - 30} *_2_A(x1,x2) = max{105, x1 - 1, x2 - 16} +_0_A = 29 +_1_A(x1) = max{58, x1 - 30} +_2_A(x1,x2) = max{87, x1 - 339, x2 - 412} -_0_A = 29 -_1_A(x1) = max{58, x1 - 30} -_2_A(x1,x2) = max{87, x1 - 338, x2 - 410} D_0_A = 105 D_1_A(x1) = max{134, x1 - 292} cons_0_A = 0 cons_1_A(x1) = max{29, x1 - 19} div_0_A = 0 div_1_A(x1) = max{28, x1 - 30} div_2_A(x1,x2) = max{28, x1 - 135, x2 - 442} filter_0_A = 9 filter_2_A(x1,x2) = max{57, x1 + 1, x2 + 1} filter2_0_A = 0 filter2_1_A(x1) = max{29, x1 - 30} filter2_2_A(x1,x2) = max{58, x1 - 30, x2 - 2} filter2_4_A(x1,x2,x3,x4) = max{57, x1 - 28, x2 + 1, x3 + 5, x4 + 1} ln_0_A = 261 ln_1_A(x1) = max{290, x1 - 77} map_0_A = 0 map_2_A(x1,x2) = max{54, x1 + 34, x2 + 5} minus_0_A = 0 minus_1_A(x1) = max{29, x1 - 135} pow_0_A = 85 pow_1_A(x1) = max{114, x1 - 30} pow_2_A(x1,x2) = max{143, x1 - 2, x2 - 24} t_0_A = 0 |1|_0_A = 0 constant_0_A = 0 |0|_0_A = 0 |2|_0_A = 27 nil_0_A = 2 map_2#!_A(x1,x2) = max{12, x2 + 1} cons_2!_A(x1,x2) = max{1, x1 - 86, x2 - 58} app#!_A(x1,x2) = max{x1 - 29, x2} map_1!_A(x1) = max{13, x1 - 6} filter2_3!_A(x1,x2,x3) = max{12, x1 - 72, x2 - 3, x3 - 53} filter2_4#!_A(x1,x2,x3,x4) = max{x1 - 59, x2 - 24, x4} false_0!_A = 1 filter_2#!_A(x1,x2) = max{10, x1 - 24, x2} filter_1!_A(x1) = max{9, x1 - 25} app!_A(x1,x2) = 14 true_0!_A = 12 *_0!_A = 16 *_1!_A(x1) = 15 *_2!_A(x1,x2) = max{16, x1 - 218, x2 - 237} +_0!_A = 1 +_1!_A(x1) = max{2, x1 - 238} +_2!_A(x1,x2) = max{16, x1 - 237} -_0!_A = 1 -_1!_A(x1) = max{12, x1 - 560} -_2!_A(x1,x2) = max{13, x1 - 559, x2 - 424} D_0!_A = 54 D_1!_A(x1) = max{53, x1 - 88} cons_0!_A = 1 cons_1!_A(x1) = 14 div_0!_A = 1 div_1!_A(x1) = max{11, x1 - 988} div_2!_A(x1,x2) = max{12, x1 - 987, x2 - 1296} filter_0!_A = 1 filter_2!_A(x1,x2) = max{13, x1 - 2, x2 - 56} filter2_0!_A = 1 filter2_1!_A(x1) = max{15, x1 - 74} filter2_2!_A(x1,x2) = max{11, x1 - 73, x2 - 4} filter2_4!_A(x1,x2,x3,x4) = max{13, x1 - 71, x2 - 2, x3 - 52, x4 - 56} ln_0!_A = 1 ln_1!_A(x1) = max{15, x1 - 89} map_0!_A = 1 map_2!_A(x1,x2) = max{14, x1 - 5, x2 - 3} minus_0!_A = 16 minus_1!_A(x1) = max{15, x1 - 358} pow_0!_A = 1 pow_1!_A(x1) = max{2, x1 - 1} pow_2!_A(x1,x2) = max{x1 + 53, x2 - 88} t_0!_A = 55 |1|_0!_A = 54 constant_0!_A = 1 |0|_0!_A = 0 |2|_0!_A = 54 nil_0!_A = 15 partial status: pi(map_2#) = [1] pi(cons_2) = [] pi(app#) = [1] pi(map_1) = [1] pi(filter2_3) = [] pi(filter2_4#) = [] pi(false_0) = [] pi(filter_2#) = [] pi(filter_1) = [1] pi(app) = [2] pi(true_0) = [] pi(*_0) = [] pi(*_1) = [] pi(*_2) = [2] pi(+_0) = [] pi(+_1) = [1] pi(+_2) = [] pi(-_0) = [] pi(-_1) = [] pi(-_2) = [] pi(D_0) = [] pi(D_1) = [] pi(cons_0) = [] pi(cons_1) = [] pi(div_0) = [] pi(div_1) = [] pi(div_2) = [] pi(filter_0) = [] pi(filter_2) = [] pi(filter2_0) = [] pi(filter2_1) = [] pi(filter2_2) = [2] pi(filter2_4) = [] pi(ln_0) = [] pi(ln_1) = [] pi(map_0) = [] pi(map_2) = [2] pi(minus_0) = [] pi(minus_1) = [] pi(pow_0) = [] pi(pow_1) = [] pi(pow_2) = [] pi(t_0) = [] pi(|1|_0) = [] pi(constant_0) = [] pi(|0|_0) = [] pi(|2|_0) = [] pi(nil_0) = [] The following rules are removed: p1, p2, 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: app#(filter2_3(x1,x2,x3),y) -> filter2_4#(x1,x2,x3,y) p3: filter2_4#(false_0(),f,x,xs) -> filter_2#(f,xs) p4: filter_2#(f,cons_2(x,xs)) -> filter2_4#(app(f,x),f,x,xs) p5: 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(+_0(),y) -> +_1(y) r4: app(+_1(x1),y) -> +_2(x1,y) r5: app(-_0(),y) -> -_1(y) r6: app(-_1(x1),y) -> -_2(x1,y) r7: app(D_0(),y) -> D_1(y) r8: app(cons_0(),y) -> cons_1(y) r9: app(cons_1(x1),y) -> cons_2(x1,y) r10: app(div_0(),y) -> div_1(y) r11: app(div_1(x1),y) -> div_2(x1,y) r12: app(filter_0(),y) -> filter_1(y) r13: app(filter_1(x1),y) -> filter_2(x1,y) r14: app(filter2_0(),y) -> filter2_1(y) r15: app(filter2_1(x1),y) -> filter2_2(x1,y) r16: app(filter2_2(x1,x2),y) -> filter2_3(x1,x2,y) r17: app(filter2_3(x1,x2,x3),y) -> filter2_4(x1,x2,x3,y) r18: app(ln_0(),y) -> ln_1(y) r19: app(map_0(),y) -> map_1(y) r20: app(map_1(x1),y) -> map_2(x1,y) r21: app(minus_0(),y) -> minus_1(y) r22: app(pow_0(),y) -> pow_1(y) r23: app(pow_1(x1),y) -> pow_2(x1,y) r24: D_1(t_0()) -> |1|_0() r25: D_1(constant_0()) -> |0|_0() r26: D_1(+_2(x,y)) -> +_2(D_1(x),D_1(y)) r27: D_1(*_2(x,y)) -> +_2(*_2(y,D_1(x)),*_2(x,D_1(y))) r28: D_1(-_2(x,y)) -> -_2(D_1(x),D_1(y)) r29: D_1(minus_1(x)) -> minus_1(D_1(x)) r30: D_1(div_2(x,y)) -> -_2(div_2(D_1(x),y),div_2(*_2(x,D_1(y)),pow_2(y,|2|_0()))) r31: D_1(ln_1(x)) -> div_2(D_1(x),x) r32: D_1(pow_2(x,y)) -> +_2(*_2(*_2(y,pow_2(x,-_2(y,|1|_0()))),D_1(x)),*_2(*_2(pow_2(x,y),ln_1(x)),D_1(y))) r33: map_2(f,nil_0()) -> nil_0() r34: map_2(f,cons_2(x,xs)) -> cons_2(app(f,x),map_2(f,xs)) r35: filter_2(f,nil_0()) -> nil_0() r36: filter_2(f,cons_2(x,xs)) -> filter2_4(app(f,x),f,x,xs) r37: filter2_4(true_0(),f,x,xs) -> cons_2(x,filter_2(f,xs)) r38: filter2_4(false_0(),f,x,xs) -> filter_2(f,xs) The estimated dependency graph contains the following SCCs: {p1} {p3, p4, p5} -- 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(+_0(),y) -> +_1(y) r4: app(+_1(x1),y) -> +_2(x1,y) r5: app(-_0(),y) -> -_1(y) r6: app(-_1(x1),y) -> -_2(x1,y) r7: app(D_0(),y) -> D_1(y) r8: app(cons_0(),y) -> cons_1(y) r9: app(cons_1(x1),y) -> cons_2(x1,y) r10: app(div_0(),y) -> div_1(y) r11: app(div_1(x1),y) -> div_2(x1,y) r12: app(filter_0(),y) -> filter_1(y) r13: app(filter_1(x1),y) -> filter_2(x1,y) r14: app(filter2_0(),y) -> filter2_1(y) r15: app(filter2_1(x1),y) -> filter2_2(x1,y) r16: app(filter2_2(x1,x2),y) -> filter2_3(x1,x2,y) r17: app(filter2_3(x1,x2,x3),y) -> filter2_4(x1,x2,x3,y) r18: app(ln_0(),y) -> ln_1(y) r19: app(map_0(),y) -> map_1(y) r20: app(map_1(x1),y) -> map_2(x1,y) r21: app(minus_0(),y) -> minus_1(y) r22: app(pow_0(),y) -> pow_1(y) r23: app(pow_1(x1),y) -> pow_2(x1,y) r24: D_1(t_0()) -> |1|_0() r25: D_1(constant_0()) -> |0|_0() r26: D_1(+_2(x,y)) -> +_2(D_1(x),D_1(y)) r27: D_1(*_2(x,y)) -> +_2(*_2(y,D_1(x)),*_2(x,D_1(y))) r28: D_1(-_2(x,y)) -> -_2(D_1(x),D_1(y)) r29: D_1(minus_1(x)) -> minus_1(D_1(x)) r30: D_1(div_2(x,y)) -> -_2(div_2(D_1(x),y),div_2(*_2(x,D_1(y)),pow_2(y,|2|_0()))) r31: D_1(ln_1(x)) -> div_2(D_1(x),x) r32: D_1(pow_2(x,y)) -> +_2(*_2(*_2(y,pow_2(x,-_2(y,|1|_0()))),D_1(x)),*_2(*_2(pow_2(x,y),ln_1(x)),D_1(y))) r33: map_2(f,nil_0()) -> nil_0() r34: map_2(f,cons_2(x,xs)) -> cons_2(app(f,x),map_2(f,xs)) r35: filter_2(f,nil_0()) -> nil_0() r36: filter_2(f,cons_2(x,xs)) -> filter2_4(app(f,x),f,x,xs) r37: filter2_4(true_0(),f,x,xs) -> cons_2(x,filter_2(f,xs)) r38: 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: max/plus interpretation on natural numbers: map_2#_A(x1,x2) = max{4, x1 - 1} cons_2_A(x1,x2) = max{3, x1 - 334, x2 - 340} base order 2: marked-algebra reduction triple (>=A, >=A!, >A!): max/plus interpretation on natural numbers: map_2#_A(x1,x2) = max{0, x2 - 2} cons_2_A(x1,x2) = max{7, x1 - 9, x2 + 1} map_2#!_A(x1,x2) = max{3, x2 - 2} cons_2!_A(x1,x2) = max{2, x1 - 1280, x2 - 10} partial status: pi(map_2#) = [] 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: 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(+_0(),y) -> +_1(y) r4: app(+_1(x1),y) -> +_2(x1,y) r5: app(-_0(),y) -> -_1(y) r6: app(-_1(x1),y) -> -_2(x1,y) r7: app(D_0(),y) -> D_1(y) r8: app(cons_0(),y) -> cons_1(y) r9: app(cons_1(x1),y) -> cons_2(x1,y) r10: app(div_0(),y) -> div_1(y) r11: app(div_1(x1),y) -> div_2(x1,y) r12: app(filter_0(),y) -> filter_1(y) r13: app(filter_1(x1),y) -> filter_2(x1,y) r14: app(filter2_0(),y) -> filter2_1(y) r15: app(filter2_1(x1),y) -> filter2_2(x1,y) r16: app(filter2_2(x1,x2),y) -> filter2_3(x1,x2,y) r17: app(filter2_3(x1,x2,x3),y) -> filter2_4(x1,x2,x3,y) r18: app(ln_0(),y) -> ln_1(y) r19: app(map_0(),y) -> map_1(y) r20: app(map_1(x1),y) -> map_2(x1,y) r21: app(minus_0(),y) -> minus_1(y) r22: app(pow_0(),y) -> pow_1(y) r23: app(pow_1(x1),y) -> pow_2(x1,y) r24: D_1(t_0()) -> |1|_0() r25: D_1(constant_0()) -> |0|_0() r26: D_1(+_2(x,y)) -> +_2(D_1(x),D_1(y)) r27: D_1(*_2(x,y)) -> +_2(*_2(y,D_1(x)),*_2(x,D_1(y))) r28: D_1(-_2(x,y)) -> -_2(D_1(x),D_1(y)) r29: D_1(minus_1(x)) -> minus_1(D_1(x)) r30: D_1(div_2(x,y)) -> -_2(div_2(D_1(x),y),div_2(*_2(x,D_1(y)),pow_2(y,|2|_0()))) r31: D_1(ln_1(x)) -> div_2(D_1(x),x) r32: D_1(pow_2(x,y)) -> +_2(*_2(*_2(y,pow_2(x,-_2(y,|1|_0()))),D_1(x)),*_2(*_2(pow_2(x,y),ln_1(x)),D_1(y))) r33: map_2(f,nil_0()) -> nil_0() r34: map_2(f,cons_2(x,xs)) -> cons_2(app(f,x),map_2(f,xs)) r35: filter_2(f,nil_0()) -> nil_0() r36: filter_2(f,cons_2(x,xs)) -> filter2_4(app(f,x),f,x,xs) r37: filter2_4(true_0(),f,x,xs) -> cons_2(x,filter_2(f,xs)) r38: 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, r30, r31, r32, r33, r34, r35, r36, r37, r38 Take the reduction pair: generalized weighted path order (>=MG, >G) base order 1: max/plus interpretation on natural numbers: filter2_4#_A(x1,x2,x3,x4) = x2 + 80 false_0_A = 66 filter_2#_A(x1,x2) = x1 + 80 cons_2_A(x1,x2) = max{x1 - 5, x2} app_A(x1,x2) = max{78, x1 - 3, x2 + 76} true_0_A = 64 *_0_A = 4 *_1_A(x1) = max{75, x1 + 4} *_2_A(x1,x2) = max{74, x1 - 80, x2 + 45} +_0_A = 8 +_1_A(x1) = 4 +_2_A(x1,x2) = 0 -_0_A = 76 -_1_A(x1) = max{77, x1 + 30} -_2_A(x1,x2) = max{72, x1 + 27} D_0_A = 36 D_1_A(x1) = max{32, x1 + 30} cons_0_A = 81 cons_1_A(x1) = max{77, x1 - 1} div_0_A = 83 div_1_A(x1) = max{79, x1 - 1} div_2_A(x1,x2) = max{43, x2 - 28} filter_0_A = 73 filter_1_A(x1) = x1 + 71 filter_2_A(x1,x2) = max{x1 + 67, x2 + 16} filter2_0_A = 83 filter2_1_A(x1) = max{79, x1 + 8} filter2_2_A(x1,x2) = max{x1 + 4, x2 + 75} filter2_3_A(x1,x2,x3) = max{77, x1 - 1, x2 + 71, x3 + 15} filter2_4_A(x1,x2,x3,x4) = max{x1 - 65, x2 + 67, x3 + 11, x4 + 16} ln_0_A = 4 ln_1_A(x1) = max{68, x1 - 57} map_0_A = 4 map_1_A(x1) = max{77, x1 + 74} map_2_A(x1,x2) = max{x1, x2 + 76} minus_0_A = 4 minus_1_A(x1) = 0 pow_0_A = 4 pow_1_A(x1) = max{5, x1 - 151} pow_2_A(x1,x2) = max{34, x1 - 155, x2 - 191} t_0_A = 178 |1|_0_A = 177 constant_0_A = 0 |0|_0_A = 31 |2|_0_A = 1 nil_0_A = 1 base order 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} false_0_A = 303 filter_2#_A(x1,x2) = max{1, x1 - 1} cons_2_A(x1,x2) = 0 app_A(x1,x2) = 147 true_0_A = 301 *_0_A = 71 *_1_A(x1) = 56 *_2_A(x1,x2) = 0 +_0_A = 144 +_1_A(x1) = 147 +_2_A(x1,x2) = 1 -_0_A = 0 -_1_A(x1) = 56 -_2_A(x1,x2) = 128 D_0_A = 56 D_1_A(x1) = 145 cons_0_A = 202 cons_1_A(x1) = 147 div_0_A = 56 div_1_A(x1) = 56 div_2_A(x1,x2) = 17 filter_0_A = 56 filter_1_A(x1) = 56 filter_2_A(x1,x2) = 1 filter2_0_A = 207 filter2_1_A(x1) = 56 filter2_2_A(x1,x2) = 56 filter2_3_A(x1,x2,x3) = 56 filter2_4_A(x1,x2,x3,x4) = 1 ln_0_A = 56 ln_1_A(x1) = 19 map_0_A = 56 map_1_A(x1) = 147 map_2_A(x1,x2) = 1 minus_0_A = 220 minus_1_A(x1) = 19 pow_0_A = 0 pow_1_A(x1) = 70 pow_2_A(x1,x2) = 1 t_0_A = 17 |1|_0_A = 31 constant_0_A = 19 |0|_0_A = 1 |2|_0_A = 102 nil_0_A = 0 filter2_4#!_A(x1,x2,x3,x4) = max{302, x1} false_0!_A = 303 filter_2#!_A(x1,x2) = 302 cons_2!_A(x1,x2) = max{147, x2 + 146} app!_A(x1,x2) = max{150, x1 - 55, x2 + 148} true_0!_A = 148 *_0!_A = 14 *_1!_A(x1) = x1 + 16 *_2!_A(x1,x2) = max{16, x2 - 4} +_0!_A = 91 +_1!_A(x1) = 90 +_2!_A(x1,x2) = max{91, x1 - 54, x2 - 78} -_0!_A = 1 -_1!_A(x1) = max{0, x1 - 1} -_2!_A(x1,x2) = 0 D_0!_A = 0 D_1!_A(x1) = 0 cons_0!_A = 1 cons_1!_A(x1) = max{146, x1 - 1} div_0!_A = 13 div_1!_A(x1) = max{12, x1 - 1} div_2!_A(x1,x2) = max{13, x1 + 11, x2 + 2} filter_0!_A = 154 filter_1!_A(x1) = x1 + 153 filter_2!_A(x1,x2) = 152 filter2_0!_A = 1 filter2_1!_A(x1) = 151 filter2_2!_A(x1,x2) = x2 + 149 filter2_3!_A(x1,x2,x3) = max{0, x1 - 149, x2 - 1, x3 - 1} filter2_4!_A(x1,x2,x3,x4) = max{151, x1 - 148} ln_0!_A = 1 ln_1!_A(x1) = max{15, x1 - 1} map_0!_A = 1 map_1!_A(x1) = max{2, x1 - 2} map_2!_A(x1,x2) = 147 minus_0!_A = 1 minus_1!_A(x1) = max{164, x1 + 18} pow_0!_A = 1 pow_1!_A(x1) = max{149, x1 - 1} pow_2!_A(x1,x2) = max{x1 + 1, x2 + 16} t_0!_A = 18 |1|_0!_A = 17 constant_0!_A = 2 |0|_0!_A = 1 |2|_0!_A = 12 nil_0!_A = 148 partial status: pi(filter2_4#) = [] pi(false_0) = [] pi(filter_2#) = [] pi(cons_2) = [] pi(app) = [2] pi(true_0) = [] pi(*_0) = [] pi(*_1) = [1] pi(*_2) = [] pi(+_0) = [] pi(+_1) = [] pi(+_2) = [] pi(-_0) = [] pi(-_1) = [1] pi(-_2) = [] pi(D_0) = [] pi(D_1) = [1] pi(cons_0) = [] pi(cons_1) = [] pi(div_0) = [] pi(div_1) = [] pi(div_2) = [] pi(filter_0) = [] pi(filter_1) = [1] pi(filter_2) = [] pi(filter2_0) = [] pi(filter2_1) = [] pi(filter2_2) = [1] pi(filter2_3) = [] pi(filter2_4) = [] pi(ln_0) = [] pi(ln_1) = [] pi(map_0) = [] pi(map_1) = [] pi(map_2) = [] pi(minus_0) = [] pi(minus_1) = [] pi(pow_0) = [] pi(pow_1) = [] pi(pow_2) = [] pi(t_0) = [] pi(|1|_0) = [] pi(constant_0) = [] pi(|0|_0) = [] pi(|2|_0) = [] pi(nil_0) = [] The following rules are removed: p1 -- SCC decomposition. Consider the dependency pair problem (P, R), where P consists of p1: filter_2#(f,cons_2(x,xs)) -> filter2_4#(app(f,x),f,x,xs) p2: 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(+_0(),y) -> +_1(y) r4: app(+_1(x1),y) -> +_2(x1,y) r5: app(-_0(),y) -> -_1(y) r6: app(-_1(x1),y) -> -_2(x1,y) r7: app(D_0(),y) -> D_1(y) r8: app(cons_0(),y) -> cons_1(y) r9: app(cons_1(x1),y) -> cons_2(x1,y) r10: app(div_0(),y) -> div_1(y) r11: app(div_1(x1),y) -> div_2(x1,y) r12: app(filter_0(),y) -> filter_1(y) r13: app(filter_1(x1),y) -> filter_2(x1,y) r14: app(filter2_0(),y) -> filter2_1(y) r15: app(filter2_1(x1),y) -> filter2_2(x1,y) r16: app(filter2_2(x1,x2),y) -> filter2_3(x1,x2,y) r17: app(filter2_3(x1,x2,x3),y) -> filter2_4(x1,x2,x3,y) r18: app(ln_0(),y) -> ln_1(y) r19: app(map_0(),y) -> map_1(y) r20: app(map_1(x1),y) -> map_2(x1,y) r21: app(minus_0(),y) -> minus_1(y) r22: app(pow_0(),y) -> pow_1(y) r23: app(pow_1(x1),y) -> pow_2(x1,y) r24: D_1(t_0()) -> |1|_0() r25: D_1(constant_0()) -> |0|_0() r26: D_1(+_2(x,y)) -> +_2(D_1(x),D_1(y)) r27: D_1(*_2(x,y)) -> +_2(*_2(y,D_1(x)),*_2(x,D_1(y))) r28: D_1(-_2(x,y)) -> -_2(D_1(x),D_1(y)) r29: D_1(minus_1(x)) -> minus_1(D_1(x)) r30: D_1(div_2(x,y)) -> -_2(div_2(D_1(x),y),div_2(*_2(x,D_1(y)),pow_2(y,|2|_0()))) r31: D_1(ln_1(x)) -> div_2(D_1(x),x) r32: D_1(pow_2(x,y)) -> +_2(*_2(*_2(y,pow_2(x,-_2(y,|1|_0()))),D_1(x)),*_2(*_2(pow_2(x,y),ln_1(x)),D_1(y))) r33: map_2(f,nil_0()) -> nil_0() r34: map_2(f,cons_2(x,xs)) -> cons_2(app(f,x),map_2(f,xs)) r35: filter_2(f,nil_0()) -> nil_0() r36: filter_2(f,cons_2(x,xs)) -> filter2_4(app(f,x),f,x,xs) r37: filter2_4(true_0(),f,x,xs) -> cons_2(x,filter_2(f,xs)) r38: filter2_4(false_0(),f,x,xs) -> filter_2(f,xs) The estimated dependency graph contains the following SCCs: {p1, p2} -- Reduction pair. Consider the dependency pair problem (P, R), where P consists of p1: filter_2#(f,cons_2(x,xs)) -> filter2_4#(app(f,x),f,x,xs) p2: 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(+_0(),y) -> +_1(y) r4: app(+_1(x1),y) -> +_2(x1,y) r5: app(-_0(),y) -> -_1(y) r6: app(-_1(x1),y) -> -_2(x1,y) r7: app(D_0(),y) -> D_1(y) r8: app(cons_0(),y) -> cons_1(y) r9: app(cons_1(x1),y) -> cons_2(x1,y) r10: app(div_0(),y) -> div_1(y) r11: app(div_1(x1),y) -> div_2(x1,y) r12: app(filter_0(),y) -> filter_1(y) r13: app(filter_1(x1),y) -> filter_2(x1,y) r14: app(filter2_0(),y) -> filter2_1(y) r15: app(filter2_1(x1),y) -> filter2_2(x1,y) r16: app(filter2_2(x1,x2),y) -> filter2_3(x1,x2,y) r17: app(filter2_3(x1,x2,x3),y) -> filter2_4(x1,x2,x3,y) r18: app(ln_0(),y) -> ln_1(y) r19: app(map_0(),y) -> map_1(y) r20: app(map_1(x1),y) -> map_2(x1,y) r21: app(minus_0(),y) -> minus_1(y) r22: app(pow_0(),y) -> pow_1(y) r23: app(pow_1(x1),y) -> pow_2(x1,y) r24: D_1(t_0()) -> |1|_0() r25: D_1(constant_0()) -> |0|_0() r26: D_1(+_2(x,y)) -> +_2(D_1(x),D_1(y)) r27: D_1(*_2(x,y)) -> +_2(*_2(y,D_1(x)),*_2(x,D_1(y))) r28: D_1(-_2(x,y)) -> -_2(D_1(x),D_1(y)) r29: D_1(minus_1(x)) -> minus_1(D_1(x)) r30: D_1(div_2(x,y)) -> -_2(div_2(D_1(x),y),div_2(*_2(x,D_1(y)),pow_2(y,|2|_0()))) r31: D_1(ln_1(x)) -> div_2(D_1(x),x) r32: D_1(pow_2(x,y)) -> +_2(*_2(*_2(y,pow_2(x,-_2(y,|1|_0()))),D_1(x)),*_2(*_2(pow_2(x,y),ln_1(x)),D_1(y))) r33: map_2(f,nil_0()) -> nil_0() r34: map_2(f,cons_2(x,xs)) -> cons_2(app(f,x),map_2(f,xs)) r35: filter_2(f,nil_0()) -> nil_0() r36: filter_2(f,cons_2(x,xs)) -> filter2_4(app(f,x),f,x,xs) r37: filter2_4(true_0(),f,x,xs) -> cons_2(x,filter_2(f,xs)) r38: filter2_4(false_0(),f,x,xs) -> filter_2(f,xs) The set of usable rules consists of r1, r4, r14, r24, r25, r26, r27, r28, r29, r30, r31, r32, r33, r35 Take the reduction pair: generalized weighted path order (>=MG, >G) base order 1: max/plus interpretation on natural numbers: filter_2#_A(x1,x2) = max{2, x2 - 2} cons_2_A(x1,x2) = max{25, x1 + 22, x2 + 20} filter2_4#_A(x1,x2,x3,x4) = max{21, x4 + 1} app_A(x1,x2) = 27 true_0_A = 1 *_0_A = 20 *_1_A(x1) = 0 +_1_A(x1) = max{0, x1 - 21} +_2_A(x1,x2) = 20 filter2_0_A = 22 filter2_1_A(x1) = 23 D_1_A(x1) = x1 + 66 t_0_A = 83 |1|_0_A = 82 constant_0_A = 21 |0|_0_A = 20 *_2_A(x1,x2) = 33 -_2_A(x1,x2) = max{x1 - 50, x2 + 65} minus_1_A(x1) = max{18, x1 - 67} div_2_A(x1,x2) = max{29, x1 - 34} pow_2_A(x1,x2) = max{x1 + 15, x2 - 163} |2|_0_A = 230 ln_1_A(x1) = x1 + 30 map_2_A(x1,x2) = max{27, x1 + 26, x2} nil_0_A = 28 filter_2_A(x1,x2) = max{24, x2 + 1} base order 2: marked-algebra reduction triple (>=A, >=A!, >A!): max/plus interpretation on natural numbers: filter_2#_A(x1,x2) = max{1, x1 - 1, x2 - 71} cons_2_A(x1,x2) = max{70, x1 + 14, x2} filter2_4#_A(x1,x2,x3,x4) = max{1, x2 - 1, x3 - 57, x4 - 71} app_A(x1,x2) = max{112, x1 - 27, x2 + 56} true_0_A = 47 *_0_A = 2 *_1_A(x1) = max{2, x1 - 1} +_1_A(x1) = max{2, x1 - 92} +_2_A(x1,x2) = max{98, x1 - 119, x2 - 127} filter2_0_A = 7 filter2_1_A(x1) = max{4, x1 - 1} D_1_A(x1) = max{118, x1 - 127} t_0_A = 98 |1|_0_A = 118 constant_0_A = 98 |0|_0_A = 0 *_2_A(x1,x2) = max{112, x1 - 64, x2 - 1} -_2_A(x1,x2) = max{113, x1 - 131, x2 - 119} minus_1_A(x1) = max{98, x1 - 119} div_2_A(x1,x2) = max{0, x1 - 119, x2 - 158} pow_2_A(x1,x2) = max{32, x1 - 32, x2 - 71} |2|_0_A = 308 ln_1_A(x1) = max{98, x1 - 31} map_2_A(x1,x2) = max{x1 - 1, x2 + 56} nil_0_A = 58 filter_2_A(x1,x2) = max{x1 - 55, x2 + 57} filter_2#!_A(x1,x2) = max{x1, x2 - 5} cons_2!_A(x1,x2) = 0 filter2_4#!_A(x1,x2,x3,x4) = max{x2, x3 + 10, x4 - 5} app!_A(x1,x2) = max{10, x1 - 3, x2 + 9} true_0!_A = 1 *_0!_A = 1 *_1!_A(x1) = max{0, x1 - 1} +_1!_A(x1) = max{11, x1 - 116} +_2!_A(x1,x2) = max{8, x1 - 116, x2 - 111} filter2_0!_A = 4 filter2_1!_A(x1) = max{3, x1 - 4} D_1!_A(x1) = max{12, x1 - 99} t_0!_A = 13 |1|_0!_A = 12 constant_0!_A = 1 |0|_0!_A = 0 *_2!_A(x1,x2) = 0 -_2!_A(x1,x2) = max{11, x1 - 108, x2 - 337} minus_1!_A(x1) = max{12, x1 - 337} div_2!_A(x1,x2) = max{0, x1 - 704, x2 - 585} pow_2!_A(x1,x2) = 0 |2|_0!_A = 13 ln_1!_A(x1) = max{11, x1 - 832} map_2!_A(x1,x2) = max{x1 + 55, x2 - 1} nil_0!_A = 0 filter_2!_A(x1,x2) = 0 partial status: pi(filter_2#) = [] pi(cons_2) = [] pi(filter2_4#) = [] pi(app) = [] pi(true_0) = [] pi(*_0) = [] pi(*_1) = [] pi(+_1) = [] pi(+_2) = [] pi(filter2_0) = [] pi(filter2_1) = [] pi(D_1) = [1] pi(t_0) = [] pi(|1|_0) = [] pi(constant_0) = [] pi(|0|_0) = [] pi(*_2) = [] pi(-_2) = [] pi(minus_1) = [] pi(div_2) = [] pi(pow_2) = [] pi(|2|_0) = [] pi(ln_1) = [] pi(map_2) = [] pi(nil_0) = [] pi(filter_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: D_1#(+_2(x,y)) -> D_1#(x) p2: D_1#(pow_2(x,y)) -> D_1#(y) p3: D_1#(pow_2(x,y)) -> D_1#(x) p4: D_1#(ln_1(x)) -> D_1#(x) p5: D_1#(div_2(x,y)) -> D_1#(y) p6: D_1#(div_2(x,y)) -> D_1#(x) p7: D_1#(minus_1(x)) -> D_1#(x) p8: D_1#(-_2(x,y)) -> D_1#(y) p9: D_1#(-_2(x,y)) -> D_1#(x) p10: D_1#(*_2(x,y)) -> D_1#(y) p11: D_1#(*_2(x,y)) -> D_1#(x) p12: D_1#(+_2(x,y)) -> D_1#(y) and R consists of: r1: app(*_0(),y) -> *_1(y) r2: app(*_1(x1),y) -> *_2(x1,y) r3: app(+_0(),y) -> +_1(y) r4: app(+_1(x1),y) -> +_2(x1,y) r5: app(-_0(),y) -> -_1(y) r6: app(-_1(x1),y) -> -_2(x1,y) r7: app(D_0(),y) -> D_1(y) r8: app(cons_0(),y) -> cons_1(y) r9: app(cons_1(x1),y) -> cons_2(x1,y) r10: app(div_0(),y) -> div_1(y) r11: app(div_1(x1),y) -> div_2(x1,y) r12: app(filter_0(),y) -> filter_1(y) r13: app(filter_1(x1),y) -> filter_2(x1,y) r14: app(filter2_0(),y) -> filter2_1(y) r15: app(filter2_1(x1),y) -> filter2_2(x1,y) r16: app(filter2_2(x1,x2),y) -> filter2_3(x1,x2,y) r17: app(filter2_3(x1,x2,x3),y) -> filter2_4(x1,x2,x3,y) r18: app(ln_0(),y) -> ln_1(y) r19: app(map_0(),y) -> map_1(y) r20: app(map_1(x1),y) -> map_2(x1,y) r21: app(minus_0(),y) -> minus_1(y) r22: app(pow_0(),y) -> pow_1(y) r23: app(pow_1(x1),y) -> pow_2(x1,y) r24: D_1(t_0()) -> |1|_0() r25: D_1(constant_0()) -> |0|_0() r26: D_1(+_2(x,y)) -> +_2(D_1(x),D_1(y)) r27: D_1(*_2(x,y)) -> +_2(*_2(y,D_1(x)),*_2(x,D_1(y))) r28: D_1(-_2(x,y)) -> -_2(D_1(x),D_1(y)) r29: D_1(minus_1(x)) -> minus_1(D_1(x)) r30: D_1(div_2(x,y)) -> -_2(div_2(D_1(x),y),div_2(*_2(x,D_1(y)),pow_2(y,|2|_0()))) r31: D_1(ln_1(x)) -> div_2(D_1(x),x) r32: D_1(pow_2(x,y)) -> +_2(*_2(*_2(y,pow_2(x,-_2(y,|1|_0()))),D_1(x)),*_2(*_2(pow_2(x,y),ln_1(x)),D_1(y))) r33: map_2(f,nil_0()) -> nil_0() r34: map_2(f,cons_2(x,xs)) -> cons_2(app(f,x),map_2(f,xs)) r35: filter_2(f,nil_0()) -> nil_0() r36: filter_2(f,cons_2(x,xs)) -> filter2_4(app(f,x),f,x,xs) r37: filter2_4(true_0(),f,x,xs) -> cons_2(x,filter_2(f,xs)) r38: filter2_4(false_0(),f,x,xs) -> filter_2(f,xs) The set of usable rules consists of r24 Take the reduction pair: generalized weighted path order (>=MG, >G) base order 1: max/plus interpretation on natural numbers: D_1#_A(x1) = 0 +_2_A(x1,x2) = max{7, x1 - 7, x2 - 15} pow_2_A(x1,x2) = max{x1 + 13, x2 - 32} ln_1_A(x1) = max{4, x1 - 33} div_2_A(x1,x2) = max{4, x1 - 33, x2 - 33} minus_1_A(x1) = max{2, x1 - 33} -_2_A(x1,x2) = max{0, x1 - 32, x2 - 32} *_2_A(x1,x2) = max{0, x1 - 16, x2 - 33} D_1_A(x1) = max{3, x1 - 8} t_0_A = 12 |1|_0_A = 4 base order 2: marked-algebra reduction triple (>=A, >=A!, >A!): max/plus interpretation on natural numbers: D_1#_A(x1) = max{0, x1 - 49} +_2_A(x1,x2) = max{38, x1 + 18, x2 + 36} pow_2_A(x1,x2) = max{x1 + 17, x2 + 1} ln_1_A(x1) = x1 + 44 div_2_A(x1,x2) = max{x1 + 45, x2 + 33} minus_1_A(x1) = max{44, x1 + 1} -_2_A(x1,x2) = max{x1 + 16, x2 + 16} *_2_A(x1,x2) = max{x1 + 48, x2 + 31} D_1_A(x1) = max{65, x1 - 93} t_0_A = 0 |1|_0_A = 0 D_1#!_A(x1) = max{6, x1 - 37} +_2!_A(x1,x2) = max{5, x2 - 127} pow_2!_A(x1,x2) = max{7, x1 - 13, x2 - 233} ln_1!_A(x1) = max{3, x1 - 219} div_2!_A(x1,x2) = max{2, x1 - 283, x2 - 346} minus_1!_A(x1) = max{3, x1 - 192} -_2!_A(x1,x2) = max{4, x1 - 234, x2 - 142} *_2!_A(x1,x2) = max{3, x1 - 284, x2 - 190} D_1!_A(x1) = max{4, x1 - 47} t_0!_A = 1 |1|_0!_A = 0 partial status: pi(D_1#) = [] pi(+_2) = [] pi(pow_2) = [] pi(ln_1) = [] pi(div_2) = [] pi(minus_1) = [] pi(-_2) = [] pi(*_2) = [] pi(D_1) = [] pi(t_0) = [] pi(|1|_0) = [] The following rules are removed: p4, p5, p6, p7, p10, p11 -- SCC decomposition. Consider the dependency pair problem (P, R), where P consists of p1: D_1#(+_2(x,y)) -> D_1#(x) p2: D_1#(pow_2(x,y)) -> D_1#(y) p3: D_1#(pow_2(x,y)) -> D_1#(x) p4: D_1#(-_2(x,y)) -> D_1#(y) p5: D_1#(-_2(x,y)) -> D_1#(x) p6: D_1#(+_2(x,y)) -> D_1#(y) and R consists of: r1: app(*_0(),y) -> *_1(y) r2: app(*_1(x1),y) -> *_2(x1,y) r3: app(+_0(),y) -> +_1(y) r4: app(+_1(x1),y) -> +_2(x1,y) r5: app(-_0(),y) -> -_1(y) r6: app(-_1(x1),y) -> -_2(x1,y) r7: app(D_0(),y) -> D_1(y) r8: app(cons_0(),y) -> cons_1(y) r9: app(cons_1(x1),y) -> cons_2(x1,y) r10: app(div_0(),y) -> div_1(y) r11: app(div_1(x1),y) -> div_2(x1,y) r12: app(filter_0(),y) -> filter_1(y) r13: app(filter_1(x1),y) -> filter_2(x1,y) r14: app(filter2_0(),y) -> filter2_1(y) r15: app(filter2_1(x1),y) -> filter2_2(x1,y) r16: app(filter2_2(x1,x2),y) -> filter2_3(x1,x2,y) r17: app(filter2_3(x1,x2,x3),y) -> filter2_4(x1,x2,x3,y) r18: app(ln_0(),y) -> ln_1(y) r19: app(map_0(),y) -> map_1(y) r20: app(map_1(x1),y) -> map_2(x1,y) r21: app(minus_0(),y) -> minus_1(y) r22: app(pow_0(),y) -> pow_1(y) r23: app(pow_1(x1),y) -> pow_2(x1,y) r24: D_1(t_0()) -> |1|_0() r25: D_1(constant_0()) -> |0|_0() r26: D_1(+_2(x,y)) -> +_2(D_1(x),D_1(y)) r27: D_1(*_2(x,y)) -> +_2(*_2(y,D_1(x)),*_2(x,D_1(y))) r28: D_1(-_2(x,y)) -> -_2(D_1(x),D_1(y)) r29: D_1(minus_1(x)) -> minus_1(D_1(x)) r30: D_1(div_2(x,y)) -> -_2(div_2(D_1(x),y),div_2(*_2(x,D_1(y)),pow_2(y,|2|_0()))) r31: D_1(ln_1(x)) -> div_2(D_1(x),x) r32: D_1(pow_2(x,y)) -> +_2(*_2(*_2(y,pow_2(x,-_2(y,|1|_0()))),D_1(x)),*_2(*_2(pow_2(x,y),ln_1(x)),D_1(y))) r33: map_2(f,nil_0()) -> nil_0() r34: map_2(f,cons_2(x,xs)) -> cons_2(app(f,x),map_2(f,xs)) r35: filter_2(f,nil_0()) -> nil_0() r36: filter_2(f,cons_2(x,xs)) -> filter2_4(app(f,x),f,x,xs) r37: filter2_4(true_0(),f,x,xs) -> cons_2(x,filter_2(f,xs)) r38: filter2_4(false_0(),f,x,xs) -> filter_2(f,xs) The estimated dependency graph contains the following SCCs: {p1, p2, p3, p4, p5, p6} -- Reduction pair. Consider the dependency pair problem (P, R), where P consists of p1: D_1#(+_2(x,y)) -> D_1#(x) p2: D_1#(+_2(x,y)) -> D_1#(y) p3: D_1#(-_2(x,y)) -> D_1#(x) p4: D_1#(-_2(x,y)) -> D_1#(y) p5: D_1#(pow_2(x,y)) -> D_1#(x) p6: D_1#(pow_2(x,y)) -> D_1#(y) and R consists of: r1: app(*_0(),y) -> *_1(y) r2: app(*_1(x1),y) -> *_2(x1,y) r3: app(+_0(),y) -> +_1(y) r4: app(+_1(x1),y) -> +_2(x1,y) r5: app(-_0(),y) -> -_1(y) r6: app(-_1(x1),y) -> -_2(x1,y) r7: app(D_0(),y) -> D_1(y) r8: app(cons_0(),y) -> cons_1(y) r9: app(cons_1(x1),y) -> cons_2(x1,y) r10: app(div_0(),y) -> div_1(y) r11: app(div_1(x1),y) -> div_2(x1,y) r12: app(filter_0(),y) -> filter_1(y) r13: app(filter_1(x1),y) -> filter_2(x1,y) r14: app(filter2_0(),y) -> filter2_1(y) r15: app(filter2_1(x1),y) -> filter2_2(x1,y) r16: app(filter2_2(x1,x2),y) -> filter2_3(x1,x2,y) r17: app(filter2_3(x1,x2,x3),y) -> filter2_4(x1,x2,x3,y) r18: app(ln_0(),y) -> ln_1(y) r19: app(map_0(),y) -> map_1(y) r20: app(map_1(x1),y) -> map_2(x1,y) r21: app(minus_0(),y) -> minus_1(y) r22: app(pow_0(),y) -> pow_1(y) r23: app(pow_1(x1),y) -> pow_2(x1,y) r24: D_1(t_0()) -> |1|_0() r25: D_1(constant_0()) -> |0|_0() r26: D_1(+_2(x,y)) -> +_2(D_1(x),D_1(y)) r27: D_1(*_2(x,y)) -> +_2(*_2(y,D_1(x)),*_2(x,D_1(y))) r28: D_1(-_2(x,y)) -> -_2(D_1(x),D_1(y)) r29: D_1(minus_1(x)) -> minus_1(D_1(x)) r30: D_1(div_2(x,y)) -> -_2(div_2(D_1(x),y),div_2(*_2(x,D_1(y)),pow_2(y,|2|_0()))) r31: D_1(ln_1(x)) -> div_2(D_1(x),x) r32: D_1(pow_2(x,y)) -> +_2(*_2(*_2(y,pow_2(x,-_2(y,|1|_0()))),D_1(x)),*_2(*_2(pow_2(x,y),ln_1(x)),D_1(y))) r33: map_2(f,nil_0()) -> nil_0() r34: map_2(f,cons_2(x,xs)) -> cons_2(app(f,x),map_2(f,xs)) r35: filter_2(f,nil_0()) -> nil_0() r36: filter_2(f,cons_2(x,xs)) -> filter2_4(app(f,x),f,x,xs) r37: filter2_4(true_0(),f,x,xs) -> cons_2(x,filter_2(f,xs)) r38: 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: max/plus interpretation on natural numbers: D_1#_A(x1) = 0 +_2_A(x1,x2) = max{8, x1 - 22, x2 - 22} -_2_A(x1,x2) = max{17, x1 - 98, x2 - 28} pow_2_A(x1,x2) = max{19, x1 - 17, x2 - 22} base order 2: marked-algebra reduction triple (>=A, >=A!, >A!): max/plus interpretation on natural numbers: D_1#_A(x1) = max{0, x1 - 87} +_2_A(x1,x2) = max{123, x1 + 5, x2 + 1} -_2_A(x1,x2) = max{128, x1 + 86, x2 + 46} pow_2_A(x1,x2) = max{126, x1 + 5, x2 + 72} D_1#!_A(x1) = max{1, x1 - 124} +_2!_A(x1,x2) = max{6, x1 - 136, x2 - 93} -_2!_A(x1,x2) = max{7, x1 - 137, x2 - 53} pow_2!_A(x1,x2) = max{8, x1 - 123, x2 - 130} partial status: pi(D_1#) = [] pi(+_2) = [] pi(-_2) = [] pi(pow_2) = [] The following rules are removed: p3, p4, p5, p6 -- SCC decomposition. Consider the dependency pair problem (P, R), where P consists of p1: D_1#(+_2(x,y)) -> D_1#(x) p2: D_1#(+_2(x,y)) -> D_1#(y) and R consists of: r1: app(*_0(),y) -> *_1(y) r2: app(*_1(x1),y) -> *_2(x1,y) r3: app(+_0(),y) -> +_1(y) r4: app(+_1(x1),y) -> +_2(x1,y) r5: app(-_0(),y) -> -_1(y) r6: app(-_1(x1),y) -> -_2(x1,y) r7: app(D_0(),y) -> D_1(y) r8: app(cons_0(),y) -> cons_1(y) r9: app(cons_1(x1),y) -> cons_2(x1,y) r10: app(div_0(),y) -> div_1(y) r11: app(div_1(x1),y) -> div_2(x1,y) r12: app(filter_0(),y) -> filter_1(y) r13: app(filter_1(x1),y) -> filter_2(x1,y) r14: app(filter2_0(),y) -> filter2_1(y) r15: app(filter2_1(x1),y) -> filter2_2(x1,y) r16: app(filter2_2(x1,x2),y) -> filter2_3(x1,x2,y) r17: app(filter2_3(x1,x2,x3),y) -> filter2_4(x1,x2,x3,y) r18: app(ln_0(),y) -> ln_1(y) r19: app(map_0(),y) -> map_1(y) r20: app(map_1(x1),y) -> map_2(x1,y) r21: app(minus_0(),y) -> minus_1(y) r22: app(pow_0(),y) -> pow_1(y) r23: app(pow_1(x1),y) -> pow_2(x1,y) r24: D_1(t_0()) -> |1|_0() r25: D_1(constant_0()) -> |0|_0() r26: D_1(+_2(x,y)) -> +_2(D_1(x),D_1(y)) r27: D_1(*_2(x,y)) -> +_2(*_2(y,D_1(x)),*_2(x,D_1(y))) r28: D_1(-_2(x,y)) -> -_2(D_1(x),D_1(y)) r29: D_1(minus_1(x)) -> minus_1(D_1(x)) r30: D_1(div_2(x,y)) -> -_2(div_2(D_1(x),y),div_2(*_2(x,D_1(y)),pow_2(y,|2|_0()))) r31: D_1(ln_1(x)) -> div_2(D_1(x),x) r32: D_1(pow_2(x,y)) -> +_2(*_2(*_2(y,pow_2(x,-_2(y,|1|_0()))),D_1(x)),*_2(*_2(pow_2(x,y),ln_1(x)),D_1(y))) r33: map_2(f,nil_0()) -> nil_0() r34: map_2(f,cons_2(x,xs)) -> cons_2(app(f,x),map_2(f,xs)) r35: filter_2(f,nil_0()) -> nil_0() r36: filter_2(f,cons_2(x,xs)) -> filter2_4(app(f,x),f,x,xs) r37: filter2_4(true_0(),f,x,xs) -> cons_2(x,filter_2(f,xs)) r38: filter2_4(false_0(),f,x,xs) -> filter_2(f,xs) The estimated dependency graph contains the following SCCs: {p1, p2} -- Reduction pair. Consider the dependency pair problem (P, R), where P consists of p1: D_1#(+_2(x,y)) -> D_1#(x) p2: D_1#(+_2(x,y)) -> D_1#(y) and R consists of: r1: app(*_0(),y) -> *_1(y) r2: app(*_1(x1),y) -> *_2(x1,y) r3: app(+_0(),y) -> +_1(y) r4: app(+_1(x1),y) -> +_2(x1,y) r5: app(-_0(),y) -> -_1(y) r6: app(-_1(x1),y) -> -_2(x1,y) r7: app(D_0(),y) -> D_1(y) r8: app(cons_0(),y) -> cons_1(y) r9: app(cons_1(x1),y) -> cons_2(x1,y) r10: app(div_0(),y) -> div_1(y) r11: app(div_1(x1),y) -> div_2(x1,y) r12: app(filter_0(),y) -> filter_1(y) r13: app(filter_1(x1),y) -> filter_2(x1,y) r14: app(filter2_0(),y) -> filter2_1(y) r15: app(filter2_1(x1),y) -> filter2_2(x1,y) r16: app(filter2_2(x1,x2),y) -> filter2_3(x1,x2,y) r17: app(filter2_3(x1,x2,x3),y) -> filter2_4(x1,x2,x3,y) r18: app(ln_0(),y) -> ln_1(y) r19: app(map_0(),y) -> map_1(y) r20: app(map_1(x1),y) -> map_2(x1,y) r21: app(minus_0(),y) -> minus_1(y) r22: app(pow_0(),y) -> pow_1(y) r23: app(pow_1(x1),y) -> pow_2(x1,y) r24: D_1(t_0()) -> |1|_0() r25: D_1(constant_0()) -> |0|_0() r26: D_1(+_2(x,y)) -> +_2(D_1(x),D_1(y)) r27: D_1(*_2(x,y)) -> +_2(*_2(y,D_1(x)),*_2(x,D_1(y))) r28: D_1(-_2(x,y)) -> -_2(D_1(x),D_1(y)) r29: D_1(minus_1(x)) -> minus_1(D_1(x)) r30: D_1(div_2(x,y)) -> -_2(div_2(D_1(x),y),div_2(*_2(x,D_1(y)),pow_2(y,|2|_0()))) r31: D_1(ln_1(x)) -> div_2(D_1(x),x) r32: D_1(pow_2(x,y)) -> +_2(*_2(*_2(y,pow_2(x,-_2(y,|1|_0()))),D_1(x)),*_2(*_2(pow_2(x,y),ln_1(x)),D_1(y))) r33: map_2(f,nil_0()) -> nil_0() r34: map_2(f,cons_2(x,xs)) -> cons_2(app(f,x),map_2(f,xs)) r35: filter_2(f,nil_0()) -> nil_0() r36: filter_2(f,cons_2(x,xs)) -> filter2_4(app(f,x),f,x,xs) r37: filter2_4(true_0(),f,x,xs) -> cons_2(x,filter_2(f,xs)) r38: filter2_4(false_0(),f,x,xs) -> filter_2(f,xs) The set of usable rules consists of r24 Take the reduction pair: generalized weighted path order (>=MG, >G) base order 1: max/plus interpretation on natural numbers: D_1#_A(x1) = 1 +_2_A(x1,x2) = max{2, x1 - 200, x2 - 128} D_1_A(x1) = max{16, x1 - 55} t_0_A = 54 |1|_0_A = 7 base order 2: marked-algebra reduction triple (>=A, >=A!, >A!): max/plus interpretation on natural numbers: D_1#_A(x1) = max{0, x1 - 144} +_2_A(x1,x2) = max{805, x1 + 143, x2 + 1} D_1_A(x1) = max{10, x1 - 1125} t_0_A = 0 |1|_0_A = 2 D_1#!_A(x1) = max{1, x1 - 803} +_2!_A(x1,x2) = max{4, x1 - 791, x2 - 802} D_1!_A(x1) = x1 + 19 t_0!_A = 5 |1|_0!_A = 4 partial status: pi(D_1#) = [] pi(+_2) = [] pi(D_1) = [] pi(t_0) = [] pi(|1|_0) = [] The following rules are removed: p1, p2 Then no dependency pair remains.