YES We show the termination of the TRS R: eq(|0|(),|0|()) -> true() eq(|0|(),s(x)) -> false() eq(s(x),|0|()) -> false() eq(s(x),s(y)) -> eq(x,y) le(|0|(),y) -> true() le(s(x),|0|()) -> false() le(s(x),s(y)) -> le(x,y) app(nil(),y) -> y app(add(n,x),y) -> add(n,app(x,y)) min(add(n,nil())) -> n min(add(n,add(m,x))) -> if_min(le(n,m),add(n,add(m,x))) if_min(true(),add(n,add(m,x))) -> min(add(n,x)) if_min(false(),add(n,add(m,x))) -> min(add(m,x)) rm(n,nil()) -> nil() rm(n,add(m,x)) -> if_rm(eq(n,m),n,add(m,x)) if_rm(true(),n,add(m,x)) -> rm(n,x) if_rm(false(),n,add(m,x)) -> add(m,rm(n,x)) minsort(nil(),nil()) -> nil() minsort(add(n,x),y) -> if_minsort(eq(n,min(add(n,x))),add(n,x),y) if_minsort(true(),add(n,x),y) -> add(n,minsort(app(rm(n,x),y),nil())) if_minsort(false(),add(n,x),y) -> minsort(x,add(n,y)) -- SCC decomposition. Consider the dependency pair problem (P, R), where P consists of p1: eq#(s(x),s(y)) -> eq#(x,y) p2: le#(s(x),s(y)) -> le#(x,y) p3: app#(add(n,x),y) -> app#(x,y) p4: min#(add(n,add(m,x))) -> if_min#(le(n,m),add(n,add(m,x))) p5: min#(add(n,add(m,x))) -> le#(n,m) p6: if_min#(true(),add(n,add(m,x))) -> min#(add(n,x)) p7: if_min#(false(),add(n,add(m,x))) -> min#(add(m,x)) p8: rm#(n,add(m,x)) -> if_rm#(eq(n,m),n,add(m,x)) p9: rm#(n,add(m,x)) -> eq#(n,m) p10: if_rm#(true(),n,add(m,x)) -> rm#(n,x) p11: if_rm#(false(),n,add(m,x)) -> rm#(n,x) p12: minsort#(add(n,x),y) -> if_minsort#(eq(n,min(add(n,x))),add(n,x),y) p13: minsort#(add(n,x),y) -> eq#(n,min(add(n,x))) p14: minsort#(add(n,x),y) -> min#(add(n,x)) p15: if_minsort#(true(),add(n,x),y) -> minsort#(app(rm(n,x),y),nil()) p16: if_minsort#(true(),add(n,x),y) -> app#(rm(n,x),y) p17: if_minsort#(true(),add(n,x),y) -> rm#(n,x) p18: if_minsort#(false(),add(n,x),y) -> minsort#(x,add(n,y)) and R consists of: r1: eq(|0|(),|0|()) -> true() r2: eq(|0|(),s(x)) -> false() r3: eq(s(x),|0|()) -> false() r4: eq(s(x),s(y)) -> eq(x,y) r5: le(|0|(),y) -> true() r6: le(s(x),|0|()) -> false() r7: le(s(x),s(y)) -> le(x,y) r8: app(nil(),y) -> y r9: app(add(n,x),y) -> add(n,app(x,y)) r10: min(add(n,nil())) -> n r11: min(add(n,add(m,x))) -> if_min(le(n,m),add(n,add(m,x))) r12: if_min(true(),add(n,add(m,x))) -> min(add(n,x)) r13: if_min(false(),add(n,add(m,x))) -> min(add(m,x)) r14: rm(n,nil()) -> nil() r15: rm(n,add(m,x)) -> if_rm(eq(n,m),n,add(m,x)) r16: if_rm(true(),n,add(m,x)) -> rm(n,x) r17: if_rm(false(),n,add(m,x)) -> add(m,rm(n,x)) r18: minsort(nil(),nil()) -> nil() r19: minsort(add(n,x),y) -> if_minsort(eq(n,min(add(n,x))),add(n,x),y) r20: if_minsort(true(),add(n,x),y) -> add(n,minsort(app(rm(n,x),y),nil())) r21: if_minsort(false(),add(n,x),y) -> minsort(x,add(n,y)) The estimated dependency graph contains the following SCCs: {p12, p15, p18} {p8, p10, p11} {p1} {p4, p6, p7} {p2} {p3} -- Reduction pair. Consider the dependency pair problem (P, R), where P consists of p1: if_minsort#(false(),add(n,x),y) -> minsort#(x,add(n,y)) p2: minsort#(add(n,x),y) -> if_minsort#(eq(n,min(add(n,x))),add(n,x),y) p3: if_minsort#(true(),add(n,x),y) -> minsort#(app(rm(n,x),y),nil()) and R consists of: r1: eq(|0|(),|0|()) -> true() r2: eq(|0|(),s(x)) -> false() r3: eq(s(x),|0|()) -> false() r4: eq(s(x),s(y)) -> eq(x,y) r5: le(|0|(),y) -> true() r6: le(s(x),|0|()) -> false() r7: le(s(x),s(y)) -> le(x,y) r8: app(nil(),y) -> y r9: app(add(n,x),y) -> add(n,app(x,y)) r10: min(add(n,nil())) -> n r11: min(add(n,add(m,x))) -> if_min(le(n,m),add(n,add(m,x))) r12: if_min(true(),add(n,add(m,x))) -> min(add(n,x)) r13: if_min(false(),add(n,add(m,x))) -> min(add(m,x)) r14: rm(n,nil()) -> nil() r15: rm(n,add(m,x)) -> if_rm(eq(n,m),n,add(m,x)) r16: if_rm(true(),n,add(m,x)) -> rm(n,x) r17: if_rm(false(),n,add(m,x)) -> add(m,rm(n,x)) r18: minsort(nil(),nil()) -> nil() r19: minsort(add(n,x),y) -> if_minsort(eq(n,min(add(n,x))),add(n,x),y) r20: if_minsort(true(),add(n,x),y) -> add(n,minsort(app(rm(n,x),y),nil())) r21: if_minsort(false(),add(n,x),y) -> minsort(x,add(n,y)) The set of usable rules consists of r1, r2, r3, r4, r5, r6, r7, r8, r9, r10, r11, r12, r13, r14, r15, r16, r17 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: if_minsort#_A(x1,x2,x3) = x2 + x3 + 1 false_A() = 1 add_A(x1,x2) = x1 + x2 + 7 minsort#_A(x1,x2) = x1 + x2 + 1 eq_A(x1,x2) = 4 min_A(x1) = x1 + 5 true_A() = 3 app_A(x1,x2) = x1 + x2 + 2 rm_A(x1,x2) = x1 + x2 + 2 nil_A() = 1 |0|_A() = 4 s_A(x1) = 5 le_A(x1,x2) = 4 if_min_A(x1,x2) = x1 + x2 if_rm_A(x1,x2,x3) = x2 + x3 + 2 base order 2: marked-algebra reduction triple (>=A, >=A!, >A!): max/plus interpretation on natural numbers: if_minsort#_A(x1,x2,x3) = max{0, x1 - 116, x2 - 96, x3 - 96} false_A = 3 add_A(x1,x2) = max{x1 + 50, x2} minsort#_A(x1,x2) = max{0, x1 - 96, x2 - 96} eq_A(x1,x2) = max{71, x1 + 70, x2 + 69} min_A(x1) = max{2, x1 - 49} true_A = 63 app_A(x1,x2) = max{88, x1, x2} rm_A(x1,x2) = max{88, x1 - 56, x2} nil_A = 95 |0|_A = 0 s_A(x1) = max{2, x1} le_A(x1,x2) = max{141, x1} if_min_A(x1,x2) = max{2, x2 - 49} if_rm_A(x1,x2,x3) = max{88, x1 - 126, x2 - 56, x3} if_minsort#!_A(x1,x2,x3) = max{x1 - 107, x2 + 57, x3 - 67} false!_A = 1 add!_A(x1,x2) = max{27, x2 + 7} minsort#!_A(x1,x2) = max{x1 + 57, x2 - 67} eq!_A(x1,x2) = x1 + 170 min!_A(x1) = x1 + 87 true!_A = 3 app!_A(x1,x2) = max{x1 + 55, x2 + 96} rm!_A(x1,x2) = max{147, x1 - 47, x2 + 118} nil!_A = 0 |0|!_A = 4 s!_A(x1) = max{28, x1 - 2} le!_A(x1,x2) = 27 if_min!_A(x1,x2) = max{6, x1 - 4} if_rm!_A(x1,x2,x3) = max{x1 - 119, x2 - 48, x3 + 96} partial status: pi(if_minsort#) = [2] pi(false) = [] pi(add) = [1, 2] pi(minsort#) = [1, 2] pi(eq) = [] pi(min) = [1] pi(true) = [] pi(app) = [1] pi(rm) = [2] pi(nil) = [] pi(|0|) = [] pi(s) = [] pi(le) = [] pi(if_min) = [1, 2] pi(if_rm) = [3] 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: if_rm#(false(),n,add(m,x)) -> rm#(n,x) p2: rm#(n,add(m,x)) -> if_rm#(eq(n,m),n,add(m,x)) p3: if_rm#(true(),n,add(m,x)) -> rm#(n,x) and R consists of: r1: eq(|0|(),|0|()) -> true() r2: eq(|0|(),s(x)) -> false() r3: eq(s(x),|0|()) -> false() r4: eq(s(x),s(y)) -> eq(x,y) r5: le(|0|(),y) -> true() r6: le(s(x),|0|()) -> false() r7: le(s(x),s(y)) -> le(x,y) r8: app(nil(),y) -> y r9: app(add(n,x),y) -> add(n,app(x,y)) r10: min(add(n,nil())) -> n r11: min(add(n,add(m,x))) -> if_min(le(n,m),add(n,add(m,x))) r12: if_min(true(),add(n,add(m,x))) -> min(add(n,x)) r13: if_min(false(),add(n,add(m,x))) -> min(add(m,x)) r14: rm(n,nil()) -> nil() r15: rm(n,add(m,x)) -> if_rm(eq(n,m),n,add(m,x)) r16: if_rm(true(),n,add(m,x)) -> rm(n,x) r17: if_rm(false(),n,add(m,x)) -> add(m,rm(n,x)) r18: minsort(nil(),nil()) -> nil() r19: minsort(add(n,x),y) -> if_minsort(eq(n,min(add(n,x))),add(n,x),y) r20: if_minsort(true(),add(n,x),y) -> add(n,minsort(app(rm(n,x),y),nil())) r21: if_minsort(false(),add(n,x),y) -> minsort(x,add(n,y)) The set of usable rules consists of r1, r2, r3, r5, r6 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: if_rm#_A(x1,x2,x3) = x3 + 1 false_A() = 6 add_A(x1,x2) = x2 + 10 rm#_A(x1,x2) = x2 + 5 eq_A(x1,x2) = x1 + 20 true_A() = 8 |0|_A() = 9 s_A(x1) = x1 + 21 le_A(x1,x2) = x1 + 1 base order 2: marked-algebra reduction triple (>=A, >=A!, >A!): max/plus interpretation on natural numbers: if_rm#_A(x1,x2,x3) = max{14, x2 - 1, x3 + 5} false_A = 0 add_A(x1,x2) = max{8, x1 - 5, x2} rm#_A(x1,x2) = max{14, x1 - 1, x2 + 5} eq_A(x1,x2) = max{0, x1 - 1, x2 - 1} true_A = 0 |0|_A = 0 s_A(x1) = max{0, x1 - 6} le_A(x1,x2) = max{x1 - 1, x2 + 5} if_rm#!_A(x1,x2,x3) = 7 false!_A = 24 add!_A(x1,x2) = max{x1 + 1, x2 + 6} rm#!_A(x1,x2) = max{21, x1 + 8, x2 + 13} eq!_A(x1,x2) = max{22, x1 - 1, x2 - 34} true!_A = 22 |0|!_A = 25 s!_A(x1) = max{25, x1 - 35} le!_A(x1,x2) = 14 partial status: pi(if_rm#) = [3] pi(false) = [] pi(add) = [2] pi(rm#) = [2] pi(eq) = [1] pi(true) = [] pi(|0|) = [] pi(s) = [1] pi(le) = [] 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: eq#(s(x),s(y)) -> eq#(x,y) and R consists of: r1: eq(|0|(),|0|()) -> true() r2: eq(|0|(),s(x)) -> false() r3: eq(s(x),|0|()) -> false() r4: eq(s(x),s(y)) -> eq(x,y) r5: le(|0|(),y) -> true() r6: le(s(x),|0|()) -> false() r7: le(s(x),s(y)) -> le(x,y) r8: app(nil(),y) -> y r9: app(add(n,x),y) -> add(n,app(x,y)) r10: min(add(n,nil())) -> n r11: min(add(n,add(m,x))) -> if_min(le(n,m),add(n,add(m,x))) r12: if_min(true(),add(n,add(m,x))) -> min(add(n,x)) r13: if_min(false(),add(n,add(m,x))) -> min(add(m,x)) r14: rm(n,nil()) -> nil() r15: rm(n,add(m,x)) -> if_rm(eq(n,m),n,add(m,x)) r16: if_rm(true(),n,add(m,x)) -> rm(n,x) r17: if_rm(false(),n,add(m,x)) -> add(m,rm(n,x)) r18: minsort(nil(),nil()) -> nil() r19: minsort(add(n,x),y) -> if_minsort(eq(n,min(add(n,x))),add(n,x),y) r20: if_minsort(true(),add(n,x),y) -> add(n,minsort(app(rm(n,x),y),nil())) r21: if_minsort(false(),add(n,x),y) -> minsort(x,add(n,y)) The set of usable rules consists of r1, r2, r3, r5, r6 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: eq#_A(x1,x2) = x1 + x2 s_A(x1) = x1 + 8 eq_A(x1,x2) = 3 |0|_A() = 3 true_A() = 2 false_A() = 2 le_A(x1,x2) = x2 + 7 base order 2: marked-algebra reduction triple (>=A, >=A!, >A!): max/plus interpretation on natural numbers: eq#_A(x1,x2) = max{0, x1 - 2, x2 - 2} s_A(x1) = x1 + 1 eq_A(x1,x2) = max{45, x1 - 2, x2 - 2} |0|_A = 0 true_A = 0 false_A = 0 le_A(x1,x2) = max{2, x1 - 2, x2 - 2} eq#!_A(x1,x2) = max{1, x1 - 2, x2 - 2} s!_A(x1) = 0 eq!_A(x1,x2) = max{28, x2 - 159} |0|!_A = 28 true!_A = 3 false!_A = 27 le!_A(x1,x2) = max{75, x1 - 2, x2 - 17} partial status: pi(eq#) = [2] pi(s) = [1] pi(eq) = [] pi(|0|) = [] pi(true) = [] pi(false) = [] pi(le) = [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: if_min#(false(),add(n,add(m,x))) -> min#(add(m,x)) p2: min#(add(n,add(m,x))) -> if_min#(le(n,m),add(n,add(m,x))) p3: if_min#(true(),add(n,add(m,x))) -> min#(add(n,x)) and R consists of: r1: eq(|0|(),|0|()) -> true() r2: eq(|0|(),s(x)) -> false() r3: eq(s(x),|0|()) -> false() r4: eq(s(x),s(y)) -> eq(x,y) r5: le(|0|(),y) -> true() r6: le(s(x),|0|()) -> false() r7: le(s(x),s(y)) -> le(x,y) r8: app(nil(),y) -> y r9: app(add(n,x),y) -> add(n,app(x,y)) r10: min(add(n,nil())) -> n r11: min(add(n,add(m,x))) -> if_min(le(n,m),add(n,add(m,x))) r12: if_min(true(),add(n,add(m,x))) -> min(add(n,x)) r13: if_min(false(),add(n,add(m,x))) -> min(add(m,x)) r14: rm(n,nil()) -> nil() r15: rm(n,add(m,x)) -> if_rm(eq(n,m),n,add(m,x)) r16: if_rm(true(),n,add(m,x)) -> rm(n,x) r17: if_rm(false(),n,add(m,x)) -> add(m,rm(n,x)) r18: minsort(nil(),nil()) -> nil() r19: minsort(add(n,x),y) -> if_minsort(eq(n,min(add(n,x))),add(n,x),y) r20: if_minsort(true(),add(n,x),y) -> add(n,minsort(app(rm(n,x),y),nil())) r21: if_minsort(false(),add(n,x),y) -> minsort(x,add(n,y)) The set of usable rules consists of r5, r6, r7 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: if_min#_A(x1,x2) = 4 false_A() = 7 add_A(x1,x2) = x1 + x2 + 5 min#_A(x1) = 4 le_A(x1,x2) = x1 + x2 + 3 true_A() = 7 |0|_A() = 8 s_A(x1) = x1 + 8 base order 2: marked-algebra reduction triple (>=A, >=A!, >A!): max/plus interpretation on natural numbers: if_min#_A(x1,x2) = max{0, x1 - 44, x2 - 21} false_A = 37 add_A(x1,x2) = max{15, x1 - 4, x2 + 4} min#_A(x1) = max{0, x1 - 21} le_A(x1,x2) = max{43, x1 - 33, x2 - 30} true_A = 0 |0|_A = 2 s_A(x1) = max{30, x1 + 29} if_min#!_A(x1,x2) = max{16, x2 + 2} false!_A = 18 add!_A(x1,x2) = max{14, x2 + 11} min#!_A(x1) = x1 + 2 le!_A(x1,x2) = max{25, x2 - 3} true!_A = 13 |0|!_A = 19 s!_A(x1) = max{0, x1 - 70} partial status: pi(if_min#) = [] pi(false) = [] pi(add) = [1, 2] pi(min#) = [] pi(le) = [] pi(true) = [] pi(|0|) = [] pi(s) = [1] The following rules are removed: p1 -- SCC decomposition. Consider the dependency pair problem (P, R), where P consists of p1: min#(add(n,add(m,x))) -> if_min#(le(n,m),add(n,add(m,x))) p2: if_min#(true(),add(n,add(m,x))) -> min#(add(n,x)) and R consists of: r1: eq(|0|(),|0|()) -> true() r2: eq(|0|(),s(x)) -> false() r3: eq(s(x),|0|()) -> false() r4: eq(s(x),s(y)) -> eq(x,y) r5: le(|0|(),y) -> true() r6: le(s(x),|0|()) -> false() r7: le(s(x),s(y)) -> le(x,y) r8: app(nil(),y) -> y r9: app(add(n,x),y) -> add(n,app(x,y)) r10: min(add(n,nil())) -> n r11: min(add(n,add(m,x))) -> if_min(le(n,m),add(n,add(m,x))) r12: if_min(true(),add(n,add(m,x))) -> min(add(n,x)) r13: if_min(false(),add(n,add(m,x))) -> min(add(m,x)) r14: rm(n,nil()) -> nil() r15: rm(n,add(m,x)) -> if_rm(eq(n,m),n,add(m,x)) r16: if_rm(true(),n,add(m,x)) -> rm(n,x) r17: if_rm(false(),n,add(m,x)) -> add(m,rm(n,x)) r18: minsort(nil(),nil()) -> nil() r19: minsort(add(n,x),y) -> if_minsort(eq(n,min(add(n,x))),add(n,x),y) r20: if_minsort(true(),add(n,x),y) -> add(n,minsort(app(rm(n,x),y),nil())) r21: if_minsort(false(),add(n,x),y) -> minsort(x,add(n,y)) The estimated dependency graph contains the following SCCs: {p1, p2} -- Reduction pair. Consider the dependency pair problem (P, R), where P consists of p1: min#(add(n,add(m,x))) -> if_min#(le(n,m),add(n,add(m,x))) p2: if_min#(true(),add(n,add(m,x))) -> min#(add(n,x)) and R consists of: r1: eq(|0|(),|0|()) -> true() r2: eq(|0|(),s(x)) -> false() r3: eq(s(x),|0|()) -> false() r4: eq(s(x),s(y)) -> eq(x,y) r5: le(|0|(),y) -> true() r6: le(s(x),|0|()) -> false() r7: le(s(x),s(y)) -> le(x,y) r8: app(nil(),y) -> y r9: app(add(n,x),y) -> add(n,app(x,y)) r10: min(add(n,nil())) -> n r11: min(add(n,add(m,x))) -> if_min(le(n,m),add(n,add(m,x))) r12: if_min(true(),add(n,add(m,x))) -> min(add(n,x)) r13: if_min(false(),add(n,add(m,x))) -> min(add(m,x)) r14: rm(n,nil()) -> nil() r15: rm(n,add(m,x)) -> if_rm(eq(n,m),n,add(m,x)) r16: if_rm(true(),n,add(m,x)) -> rm(n,x) r17: if_rm(false(),n,add(m,x)) -> add(m,rm(n,x)) r18: minsort(nil(),nil()) -> nil() r19: minsort(add(n,x),y) -> if_minsort(eq(n,min(add(n,x))),add(n,x),y) r20: if_minsort(true(),add(n,x),y) -> add(n,minsort(app(rm(n,x),y),nil())) r21: if_minsort(false(),add(n,x),y) -> minsort(x,add(n,y)) The set of usable rules consists of r1, r2, r3, r5, r6, r7 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: min#_A(x1) = 1 add_A(x1,x2) = x1 + 3 if_min#_A(x1,x2) = 1 le_A(x1,x2) = x1 + x2 + 6 true_A() = 2 eq_A(x1,x2) = x1 + 1 |0|_A() = 5 s_A(x1) = x1 + 5 false_A() = 4 base order 2: marked-algebra reduction triple (>=A, >=A!, >A!): max/plus interpretation on natural numbers: min#_A(x1) = max{1, x1 - 83} add_A(x1,x2) = x2 + 41 if_min#_A(x1,x2) = max{1, x1 - 53, x2 - 83} le_A(x1,x2) = 49 true_A = 1 eq_A(x1,x2) = max{x1 - 2, x2 + 75} |0|_A = 1 s_A(x1) = max{0, x1 - 76} false_A = 1 min#!_A(x1) = x1 + 7 add!_A(x1,x2) = max{x1 + 2, x2 + 57} if_min#!_A(x1,x2) = max{x1 + 39, x2 - 26} le!_A(x1,x2) = max{0, x1 - 40} true!_A = 4 eq!_A(x1,x2) = max{5, x1 - 2} |0|!_A = 5 s!_A(x1) = max{2, x1 - 41} false!_A = 1 partial status: pi(min#) = [] pi(add) = [1] pi(if_min#) = [] pi(le) = [] pi(true) = [] pi(eq) = [1] pi(|0|) = [] pi(s) = [1] pi(false) = [] 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: le#(s(x),s(y)) -> le#(x,y) and R consists of: r1: eq(|0|(),|0|()) -> true() r2: eq(|0|(),s(x)) -> false() r3: eq(s(x),|0|()) -> false() r4: eq(s(x),s(y)) -> eq(x,y) r5: le(|0|(),y) -> true() r6: le(s(x),|0|()) -> false() r7: le(s(x),s(y)) -> le(x,y) r8: app(nil(),y) -> y r9: app(add(n,x),y) -> add(n,app(x,y)) r10: min(add(n,nil())) -> n r11: min(add(n,add(m,x))) -> if_min(le(n,m),add(n,add(m,x))) r12: if_min(true(),add(n,add(m,x))) -> min(add(n,x)) r13: if_min(false(),add(n,add(m,x))) -> min(add(m,x)) r14: rm(n,nil()) -> nil() r15: rm(n,add(m,x)) -> if_rm(eq(n,m),n,add(m,x)) r16: if_rm(true(),n,add(m,x)) -> rm(n,x) r17: if_rm(false(),n,add(m,x)) -> add(m,rm(n,x)) r18: minsort(nil(),nil()) -> nil() r19: minsort(add(n,x),y) -> if_minsort(eq(n,min(add(n,x))),add(n,x),y) r20: if_minsort(true(),add(n,x),y) -> add(n,minsort(app(rm(n,x),y),nil())) r21: if_minsort(false(),add(n,x),y) -> minsort(x,add(n,y)) The set of usable rules consists of r1, r2, r3, r5, r6, r14, r18 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: le#_A(x1,x2) = x1 + x2 + 9 s_A(x1) = x1 + 8 eq_A(x1,x2) = 4 |0|_A() = 4 true_A() = 3 false_A() = 3 le_A(x1,x2) = x1 + x2 + 7 rm_A(x1,x2) = x1 + x2 + 13 nil_A() = 2 minsort_A(x1,x2) = x2 + 5 base order 2: marked-algebra reduction triple (>=A, >=A!, >A!): max/plus interpretation on natural numbers: le#_A(x1,x2) = max{0, x1 - 6, x2 - 6} s_A(x1) = x1 + 5 eq_A(x1,x2) = max{49, x1 - 8, x2 - 8} |0|_A = 7 true_A = 0 false_A = 30 le_A(x1,x2) = max{39, x1 - 8, x2 - 8} rm_A(x1,x2) = max{x1 + 7, x2 + 7} nil_A = 0 minsort_A(x1,x2) = max{7, x1 - 39, x2 - 8} le#!_A(x1,x2) = max{4, x1 - 6, x2 - 6} s!_A(x1) = max{3, x1 - 1} eq!_A(x1,x2) = max{6, x1 - 62, x2 - 149} |0|!_A = 0 true!_A = 1 false!_A = 4 le!_A(x1,x2) = max{2, x2 - 2} rm!_A(x1,x2) = max{5, x1 + 1, x2} nil!_A = 0 minsort!_A(x1,x2) = max{7, x1 - 68, x2 - 24} partial status: pi(le#) = [2] pi(s) = [1] pi(eq) = [] pi(|0|) = [] pi(true) = [] pi(false) = [] pi(le) = [] pi(rm) = [2] pi(nil) = [] pi(minsort) = [] 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#(add(n,x),y) -> app#(x,y) and R consists of: r1: eq(|0|(),|0|()) -> true() r2: eq(|0|(),s(x)) -> false() r3: eq(s(x),|0|()) -> false() r4: eq(s(x),s(y)) -> eq(x,y) r5: le(|0|(),y) -> true() r6: le(s(x),|0|()) -> false() r7: le(s(x),s(y)) -> le(x,y) r8: app(nil(),y) -> y r9: app(add(n,x),y) -> add(n,app(x,y)) r10: min(add(n,nil())) -> n r11: min(add(n,add(m,x))) -> if_min(le(n,m),add(n,add(m,x))) r12: if_min(true(),add(n,add(m,x))) -> min(add(n,x)) r13: if_min(false(),add(n,add(m,x))) -> min(add(m,x)) r14: rm(n,nil()) -> nil() r15: rm(n,add(m,x)) -> if_rm(eq(n,m),n,add(m,x)) r16: if_rm(true(),n,add(m,x)) -> rm(n,x) r17: if_rm(false(),n,add(m,x)) -> add(m,rm(n,x)) r18: minsort(nil(),nil()) -> nil() r19: minsort(add(n,x),y) -> if_minsort(eq(n,min(add(n,x))),add(n,x),y) r20: if_minsort(true(),add(n,x),y) -> add(n,minsort(app(rm(n,x),y),nil())) r21: if_minsort(false(),add(n,x),y) -> minsort(x,add(n,y)) The set of usable rules consists of r1, r2, r3, r5, r6 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 add_A(x1,x2) = x1 + x2 + 6 eq_A(x1,x2) = x1 + 5 |0|_A() = 5 true_A() = 4 s_A(x1) = x1 + 6 false_A() = 3 le_A(x1,x2) = x1 + x2 + 1 base order 2: marked-algebra reduction triple (>=A, >=A!, >A!): max/plus interpretation on natural numbers: app#_A(x1,x2) = max{0, x1 - 1} add_A(x1,x2) = max{32, x1 - 22, x2} eq_A(x1,x2) = max{42, x1 - 10, x2 - 10} |0|_A = 0 true_A = 0 s_A(x1) = max{9, x1 + 1} false_A = 0 le_A(x1,x2) = max{2, x1 - 10, x2 - 10} app#!_A(x1,x2) = max{27, x1 - 33, x2 - 1} add!_A(x1,x2) = max{30, x1 - 56, x2 + 28} eq!_A(x1,x2) = max{6, x2 - 2} |0|!_A = 3 true!_A = 2 s!_A(x1) = 4 false!_A = 4 le!_A(x1,x2) = max{5, x1 - 3, x2 - 10} partial status: pi(app#) = [1] pi(add) = [1] pi(eq) = [] pi(|0|) = [] pi(true) = [] pi(s) = [1] pi(false) = [] pi(le) = [] The following rules are removed: p1 Then no dependency pair remains.