YES We show the termination of the TRS R: nonZero(|0|()) -> false() nonZero(s(x)) -> true() p(s(|0|())) -> |0|() p(s(s(x))) -> s(p(s(x))) id_inc(x) -> x id_inc(x) -> s(x) random(x) -> rand(x,|0|()) rand(x,y) -> if(nonZero(x),x,y) if(false(),x,y) -> y if(true(),x,y) -> rand(p(x),id_inc(y)) -- SCC decomposition. Consider the dependency pair problem (P, R), where P consists of p1: p#(s(s(x))) -> p#(s(x)) p2: random#(x) -> rand#(x,|0|()) p3: rand#(x,y) -> if#(nonZero(x),x,y) p4: rand#(x,y) -> nonZero#(x) p5: if#(true(),x,y) -> rand#(p(x),id_inc(y)) p6: if#(true(),x,y) -> p#(x) p7: if#(true(),x,y) -> id_inc#(y) and R consists of: r1: nonZero(|0|()) -> false() r2: nonZero(s(x)) -> true() r3: p(s(|0|())) -> |0|() r4: p(s(s(x))) -> s(p(s(x))) r5: id_inc(x) -> x r6: id_inc(x) -> s(x) r7: random(x) -> rand(x,|0|()) r8: rand(x,y) -> if(nonZero(x),x,y) r9: if(false(),x,y) -> y r10: if(true(),x,y) -> rand(p(x),id_inc(y)) The estimated dependency graph contains the following SCCs: {p3, p5} {p1} -- Reduction pair. Consider the dependency pair problem (P, R), where P consists of p1: rand#(x,y) -> if#(nonZero(x),x,y) p2: if#(true(),x,y) -> rand#(p(x),id_inc(y)) and R consists of: r1: nonZero(|0|()) -> false() r2: nonZero(s(x)) -> true() r3: p(s(|0|())) -> |0|() r4: p(s(s(x))) -> s(p(s(x))) r5: id_inc(x) -> x r6: id_inc(x) -> s(x) r7: random(x) -> rand(x,|0|()) r8: rand(x,y) -> if(nonZero(x),x,y) r9: if(false(),x,y) -> y r10: if(true(),x,y) -> rand(p(x),id_inc(y)) The set of usable rules consists of r1, r2, r3, r4 Take the reduction pair: generalized weighted path order (>=MG, >G) base order 1: max/plus interpretation on natural numbers: rand#_A(x1,x2) = x1 + 10 if#_A(x1,x2,x3) = max{9, x1 - 10, x2 + 7} nonZero_A(x1) = max{9, x1 - 4} true_A = 27 p_A(x1) = max{6, x1 - 4} id_inc_A(x1) = max{5, x1 - 1} |0|_A = 3 false_A = 0 s_A(x1) = x1 + 32 base order 2: marked-algebra reduction triple (>=A, >=A!, >A!): matrix interpretation with standard point-wise order: carrier: N^1 order: standard order interpretations: rand#_A(x1,x2) = 0 if#_A(x1,x2,x3) = 0 nonZero_A(x1) = 1 true_A() = 1 p_A(x1) = 2 id_inc_A(x1) = x1 + 2 |0|_A() = 1 false_A() = 1 s_A(x1) = 1 rand#!_A(x1,x2) = 3 if#!_A(x1,x2,x3) = x2 + 7 nonZero!_A(x1) = 5 true!_A() = 4 p!_A(x1) = 6 id_inc!_A(x1) = 1 |0|!_A() = 1 false!_A() = 0 s!_A(x1) = 5 partial status: pi(rand#) = [] pi(if#) = [] pi(nonZero) = [] pi(true) = [] pi(p) = [] pi(id_inc) = [] pi(|0|) = [] pi(false) = [] pi(s) = [] 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: p#(s(s(x))) -> p#(s(x)) and R consists of: r1: nonZero(|0|()) -> false() r2: nonZero(s(x)) -> true() r3: p(s(|0|())) -> |0|() r4: p(s(s(x))) -> s(p(s(x))) r5: id_inc(x) -> x r6: id_inc(x) -> s(x) r7: random(x) -> rand(x,|0|()) r8: rand(x,y) -> if(nonZero(x),x,y) r9: if(false(),x,y) -> y r10: if(true(),x,y) -> rand(p(x),id_inc(y)) 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: p#_A(x1) = 0 s_A(x1) = max{0, x1 - 2} base order 2: marked-algebra reduction triple (>=A, >=A!, >A!): matrix interpretation with standard point-wise order: carrier: N^1 order: standard order interpretations: p#_A(x1) = x1 s_A(x1) = x1 + 2 p#!_A(x1) = x1 + 1 s!_A(x1) = 2 partial status: pi(p#) = [] pi(s) = [] The following rules are removed: p1 Then no dependency pair remains.