YES We show the termination of the relative TRS R/S: R: g(s(x)) -> f(x) f(|0|()) -> s(|0|()) f(s(x)) -> s(s(g(x))) g(|0|()) -> |0|() S: rand(x) -> x rand(x) -> rand(s(x)) -- SCC decomposition. Consider the non-minimal dependency pair problem (P, R), where P consists of p1: g#(s(x)) -> f#(x) p2: f#(s(x)) -> g#(x) and R consists of: r1: g(s(x)) -> f(x) r2: f(|0|()) -> s(|0|()) r3: f(s(x)) -> s(s(g(x))) r4: g(|0|()) -> |0|() r5: rand(x) -> x r6: rand(x) -> rand(s(x)) The estimated dependency graph contains the following SCCs: {p1, p2} -- Reduction pair. Consider the non-minimal dependency pair problem (P, R), where P consists of p1: g#(s(x)) -> f#(x) p2: f#(s(x)) -> g#(x) and R consists of: r1: g(s(x)) -> f(x) r2: f(|0|()) -> s(|0|()) r3: f(s(x)) -> s(s(g(x))) r4: g(|0|()) -> |0|() r5: rand(x) -> x r6: rand(x) -> rand(s(x)) The set of usable rules consists of r1, r2, r3, r4, r5, r6 Take the reduction pair: lexicographic combination of reduction pairs: 1. weighted path order base order: matrix interpretations: carrier: N^2 order: lexicographic order interpretations: g#_A(x1) = x1 s_A(x1) = x1 f#_A(x1) = x1 g_A(x1) = x1 + (1,1) f_A(x1) = x1 + (1,1) |0|_A() = (1,1) rand_A(x1) = ((1,0),(0,0)) x1 + (1,1) precedence: g = f = rand > g# = s > f# > |0| partial status: pi(g#) = [1] pi(s) = [1] pi(f#) = [1] pi(g) = [1] pi(f) = [1] pi(|0|) = [] pi(rand) = [] 2. weighted path order base order: matrix interpretations: carrier: N^2 order: lexicographic order interpretations: g#_A(x1) = ((0,0),(1,0)) x1 + (5,1) s_A(x1) = ((0,0),(1,0)) x1 + (3,0) f#_A(x1) = x1 + (4,2) g_A(x1) = (5,7) f_A(x1) = (4,6) |0|_A() = (2,1) rand_A(x1) = (1,1) precedence: g > f > s > f# > g# = |0| = rand partial status: pi(g#) = [] pi(s) = [] pi(f#) = [] pi(g) = [] pi(f) = [] pi(|0|) = [] pi(rand) = [] The next rules are strictly ordered: p1 We remove them from the problem. -- SCC decomposition. Consider the non-minimal dependency pair problem (P, R), where P consists of p1: f#(s(x)) -> g#(x) and R consists of: r1: g(s(x)) -> f(x) r2: f(|0|()) -> s(|0|()) r3: f(s(x)) -> s(s(g(x))) r4: g(|0|()) -> |0|() r5: rand(x) -> x r6: rand(x) -> rand(s(x)) The estimated dependency graph contains the following SCCs: (no SCCs)