YES
We show the termination of the TRS R:

  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(le(),|0|()),y) -> true()
  app(app(le(),app(s(),x)),|0|()) -> false()
  app(app(le(),app(s(),x)),app(s(),y)) -> app(app(le(),x),y)
  app(app(maxlist(),x),app(app(cons(),y),ys)) -> app(app(if(),app(app(le(),x),y)),app(app(maxlist(),y),ys))
  app(app(maxlist(),x),nil()) -> x
  app(height(),app(app(node(),x),xs)) -> app(s(),app(app(maxlist(),|0|()),app(app(map(),height()),xs)))

Instead we prove termination of the uncurried system:

  app(cons_0(),y) -> cons_1(y)
  app(cons_1(x1),y) -> cons_2(x1,y)
  app(height_0(),y) -> height_1(y)
  app(if_0(),y) -> if_1(y)
  app(if_1(x1),y) -> if_2(x1,y)
  app(le_0(),y) -> le_1(y)
  app(le_1(x1),y) -> le_2(x1,y)
  app(map_0(),y) -> map_1(y)
  app(map_1(x1),y) -> map_2(x1,y)
  app(maxlist_0(),y) -> maxlist_1(y)
  app(maxlist_1(x1),y) -> maxlist_2(x1,y)
  app(node_0(),y) -> node_1(y)
  app(node_1(x1),y) -> node_2(x1,y)
  app(s_0(),y) -> s_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))
  le_2(|0|_0(),y) -> true_0()
  le_2(s_1(x),|0|_0()) -> false_0()
  le_2(s_1(x),s_1(y)) -> le_2(x,y)
  maxlist_2(x,cons_2(y,ys)) -> if_2(le_2(x,y),maxlist_2(y,ys))
  maxlist_2(x,nil_0()) -> x
  height_1(node_2(x,xs)) -> s_1(maxlist_2(|0|_0(),map_2(height_0(),xs)))


-- SCC decomposition.

Consider the dependency pair problem (P, R), where P consists of

p1: app#(height_0(),y) -> height_1#(y)
p2: app#(le_1(x1),y) -> le_2#(x1,y)
p3: app#(map_1(x1),y) -> map_2#(x1,y)
p4: app#(maxlist_1(x1),y) -> maxlist_2#(x1,y)
p5: map_2#(f,cons_2(x,xs)) -> app#(f,x)
p6: map_2#(f,cons_2(x,xs)) -> map_2#(f,xs)
p7: le_2#(s_1(x),s_1(y)) -> le_2#(x,y)
p8: maxlist_2#(x,cons_2(y,ys)) -> le_2#(x,y)
p9: maxlist_2#(x,cons_2(y,ys)) -> maxlist_2#(y,ys)
p10: height_1#(node_2(x,xs)) -> maxlist_2#(|0|_0(),map_2(height_0(),xs))
p11: height_1#(node_2(x,xs)) -> map_2#(height_0(),xs)

and R consists of:

r1: app(cons_0(),y) -> cons_1(y)
r2: app(cons_1(x1),y) -> cons_2(x1,y)
r3: app(height_0(),y) -> height_1(y)
r4: app(if_0(),y) -> if_1(y)
r5: app(if_1(x1),y) -> if_2(x1,y)
r6: app(le_0(),y) -> le_1(y)
r7: app(le_1(x1),y) -> le_2(x1,y)
r8: app(map_0(),y) -> map_1(y)
r9: app(map_1(x1),y) -> map_2(x1,y)
r10: app(maxlist_0(),y) -> maxlist_1(y)
r11: app(maxlist_1(x1),y) -> maxlist_2(x1,y)
r12: app(node_0(),y) -> node_1(y)
r13: app(node_1(x1),y) -> node_2(x1,y)
r14: app(s_0(),y) -> s_1(y)
r15: map_2(f,nil_0()) -> nil_0()
r16: map_2(f,cons_2(x,xs)) -> cons_2(app(f,x),map_2(f,xs))
r17: le_2(|0|_0(),y) -> true_0()
r18: le_2(s_1(x),|0|_0()) -> false_0()
r19: le_2(s_1(x),s_1(y)) -> le_2(x,y)
r20: maxlist_2(x,cons_2(y,ys)) -> if_2(le_2(x,y),maxlist_2(y,ys))
r21: maxlist_2(x,nil_0()) -> x
r22: height_1(node_2(x,xs)) -> s_1(maxlist_2(|0|_0(),map_2(height_0(),xs)))

The estimated dependency graph contains the following SCCs:

  {p1, p3, p5, p6, p11}
  {p9}
  {p7}


-- Reduction pair.

Consider the dependency pair problem (P, R), where P consists of

p1: app#(height_0(),y) -> height_1#(y)
p2: height_1#(node_2(x,xs)) -> map_2#(height_0(),xs)
p3: map_2#(f,cons_2(x,xs)) -> map_2#(f,xs)
p4: map_2#(f,cons_2(x,xs)) -> app#(f,x)
p5: app#(map_1(x1),y) -> map_2#(x1,y)

and R consists of:

r1: app(cons_0(),y) -> cons_1(y)
r2: app(cons_1(x1),y) -> cons_2(x1,y)
r3: app(height_0(),y) -> height_1(y)
r4: app(if_0(),y) -> if_1(y)
r5: app(if_1(x1),y) -> if_2(x1,y)
r6: app(le_0(),y) -> le_1(y)
r7: app(le_1(x1),y) -> le_2(x1,y)
r8: app(map_0(),y) -> map_1(y)
r9: app(map_1(x1),y) -> map_2(x1,y)
r10: app(maxlist_0(),y) -> maxlist_1(y)
r11: app(maxlist_1(x1),y) -> maxlist_2(x1,y)
r12: app(node_0(),y) -> node_1(y)
r13: app(node_1(x1),y) -> node_2(x1,y)
r14: app(s_0(),y) -> s_1(y)
r15: map_2(f,nil_0()) -> nil_0()
r16: map_2(f,cons_2(x,xs)) -> cons_2(app(f,x),map_2(f,xs))
r17: le_2(|0|_0(),y) -> true_0()
r18: le_2(s_1(x),|0|_0()) -> false_0()
r19: le_2(s_1(x),s_1(y)) -> le_2(x,y)
r20: maxlist_2(x,cons_2(y,ys)) -> if_2(le_2(x,y),maxlist_2(y,ys))
r21: maxlist_2(x,nil_0()) -> x
r22: height_1(node_2(x,xs)) -> s_1(maxlist_2(|0|_0(),map_2(height_0(),xs)))

The set of usable rules consists of

  r1, r4, r6, r8, r10, r12, r13, r14, r17, r18

Take the reduction pair:

  generalized weighted path order (>=MG, >MG)
  
    base order 1:
  
      matrix interpretation with standard point-wise order:
      
        carrier: N^1
        order: standard order
        interpretations:
          app#_A(x1,x2) = x1 + x2 + 5
          height_0_A() = 1
          height_1#_A(x1) = x1 + 2
          node_2_A(x1,x2) = x2 + 6
          map_2#_A(x1,x2) = x1 + x2 + 3
          cons_2_A(x1,x2) = x1 + x2 + 4
          map_1_A(x1) = x1 + 2
          app_A(x1,x2) = x2 + 8
          cons_0_A() = 2
          cons_1_A(x1) = 1
          if_0_A() = 2
          if_1_A(x1) = 1
          le_0_A() = 2
          le_1_A(x1) = 1
          map_0_A() = 1
          maxlist_0_A() = 2
          maxlist_1_A(x1) = 1
          node_0_A() = 2
          node_1_A(x1) = 1
          s_0_A() = 2
          s_1_A(x1) = 1
          le_2_A(x1,x2) = x1 + x2 + 9
          |0|_0_A() = 1
          true_0_A() = 0
          false_0_A() = 0
  
    base order 2:
  
      precedence:
      
        height_1# > app# > node_2 = map_2# = node_0 = le_2 > app = node_1 > cons_2 > cons_0 = if_0 = le_0 = maxlist_0 > cons_1 = if_1 = le_1 = maxlist_1 = s_0 > height_0 = |0|_0 > map_1 = s_1 = true_0 = false_0 > map_0
      
  
    partial status:
  
      pi(app#) = [2]
      pi(height_0) = []
      pi(height_1#) = []
      pi(node_2) = [2]
      pi(map_2#) = [2]
      pi(cons_2) = [1]
      pi(map_1) = [1]
      pi(app) = []
      pi(cons_0) = []
      pi(cons_1) = []
      pi(if_0) = []
      pi(if_1) = []
      pi(le_0) = []
      pi(le_1) = []
      pi(map_0) = []
      pi(maxlist_0) = []
      pi(maxlist_1) = []
      pi(node_0) = []
      pi(node_1) = []
      pi(s_0) = []
      pi(s_1) = []
      pi(le_2) = [1]
      pi(|0|_0) = []
      pi(true_0) = []
      pi(false_0) = []

The following rules are removed:

  p1



-- SCC decomposition.

Consider the dependency pair problem (P, R), where P consists of

p1: height_1#(node_2(x,xs)) -> map_2#(height_0(),xs)
p2: map_2#(f,cons_2(x,xs)) -> map_2#(f,xs)
p3: map_2#(f,cons_2(x,xs)) -> app#(f,x)
p4: app#(map_1(x1),y) -> map_2#(x1,y)

and R consists of:

r1: app(cons_0(),y) -> cons_1(y)
r2: app(cons_1(x1),y) -> cons_2(x1,y)
r3: app(height_0(),y) -> height_1(y)
r4: app(if_0(),y) -> if_1(y)
r5: app(if_1(x1),y) -> if_2(x1,y)
r6: app(le_0(),y) -> le_1(y)
r7: app(le_1(x1),y) -> le_2(x1,y)
r8: app(map_0(),y) -> map_1(y)
r9: app(map_1(x1),y) -> map_2(x1,y)
r10: app(maxlist_0(),y) -> maxlist_1(y)
r11: app(maxlist_1(x1),y) -> maxlist_2(x1,y)
r12: app(node_0(),y) -> node_1(y)
r13: app(node_1(x1),y) -> node_2(x1,y)
r14: app(s_0(),y) -> s_1(y)
r15: map_2(f,nil_0()) -> nil_0()
r16: map_2(f,cons_2(x,xs)) -> cons_2(app(f,x),map_2(f,xs))
r17: le_2(|0|_0(),y) -> true_0()
r18: le_2(s_1(x),|0|_0()) -> false_0()
r19: le_2(s_1(x),s_1(y)) -> le_2(x,y)
r20: maxlist_2(x,cons_2(y,ys)) -> if_2(le_2(x,y),maxlist_2(y,ys))
r21: maxlist_2(x,nil_0()) -> x
r22: height_1(node_2(x,xs)) -> s_1(maxlist_2(|0|_0(),map_2(height_0(),xs)))

The estimated dependency graph contains the following SCCs:

  {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)
p2: map_2#(f,cons_2(x,xs)) -> app#(f,x)
p3: app#(map_1(x1),y) -> map_2#(x1,y)

and R consists of:

r1: app(cons_0(),y) -> cons_1(y)
r2: app(cons_1(x1),y) -> cons_2(x1,y)
r3: app(height_0(),y) -> height_1(y)
r4: app(if_0(),y) -> if_1(y)
r5: app(if_1(x1),y) -> if_2(x1,y)
r6: app(le_0(),y) -> le_1(y)
r7: app(le_1(x1),y) -> le_2(x1,y)
r8: app(map_0(),y) -> map_1(y)
r9: app(map_1(x1),y) -> map_2(x1,y)
r10: app(maxlist_0(),y) -> maxlist_1(y)
r11: app(maxlist_1(x1),y) -> maxlist_2(x1,y)
r12: app(node_0(),y) -> node_1(y)
r13: app(node_1(x1),y) -> node_2(x1,y)
r14: app(s_0(),y) -> s_1(y)
r15: map_2(f,nil_0()) -> nil_0()
r16: map_2(f,cons_2(x,xs)) -> cons_2(app(f,x),map_2(f,xs))
r17: le_2(|0|_0(),y) -> true_0()
r18: le_2(s_1(x),|0|_0()) -> false_0()
r19: le_2(s_1(x),s_1(y)) -> le_2(x,y)
r20: maxlist_2(x,cons_2(y,ys)) -> if_2(le_2(x,y),maxlist_2(y,ys))
r21: maxlist_2(x,nil_0()) -> x
r22: height_1(node_2(x,xs)) -> s_1(maxlist_2(|0|_0(),map_2(height_0(),xs)))

The set of usable rules consists of

  r17, r18

Take the reduction pair:

  generalized weighted path order (>=MG, >MG)
  
    base order 1:
  
      matrix interpretation with standard point-wise order:
      
        carrier: N^1
        order: standard order
        interpretations:
          map_2#_A(x1,x2) = x2 + 3
          cons_2_A(x1,x2) = x1 + x2 + 2
          app#_A(x1,x2) = x2 + 4
          map_1_A(x1) = x1 + 4
          le_2_A(x1,x2) = x1 + x2 + 3
          |0|_0_A() = 1
          true_0_A() = 0
          s_1_A(x1) = x1 + 2
          false_0_A() = 0
  
    base order 2:
  
      precedence:
      
        |0|_0 > true_0 > app# = le_2 > map_2# = cons_2 > map_1 > s_1 = false_0
      
  
    partial status:
  
      pi(map_2#) = []
      pi(cons_2) = [1]
      pi(app#) = [2]
      pi(map_1) = [1]
      pi(le_2) = [1]
      pi(|0|_0) = []
      pi(true_0) = []
      pi(s_1) = []
      pi(false_0) = []

The following rules are removed:

  p2



-- 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#(map_1(x1),y) -> map_2#(x1,y)

and R consists of:

r1: app(cons_0(),y) -> cons_1(y)
r2: app(cons_1(x1),y) -> cons_2(x1,y)
r3: app(height_0(),y) -> height_1(y)
r4: app(if_0(),y) -> if_1(y)
r5: app(if_1(x1),y) -> if_2(x1,y)
r6: app(le_0(),y) -> le_1(y)
r7: app(le_1(x1),y) -> le_2(x1,y)
r8: app(map_0(),y) -> map_1(y)
r9: app(map_1(x1),y) -> map_2(x1,y)
r10: app(maxlist_0(),y) -> maxlist_1(y)
r11: app(maxlist_1(x1),y) -> maxlist_2(x1,y)
r12: app(node_0(),y) -> node_1(y)
r13: app(node_1(x1),y) -> node_2(x1,y)
r14: app(s_0(),y) -> s_1(y)
r15: map_2(f,nil_0()) -> nil_0()
r16: map_2(f,cons_2(x,xs)) -> cons_2(app(f,x),map_2(f,xs))
r17: le_2(|0|_0(),y) -> true_0()
r18: le_2(s_1(x),|0|_0()) -> false_0()
r19: le_2(s_1(x),s_1(y)) -> le_2(x,y)
r20: maxlist_2(x,cons_2(y,ys)) -> if_2(le_2(x,y),maxlist_2(y,ys))
r21: maxlist_2(x,nil_0()) -> x
r22: height_1(node_2(x,xs)) -> s_1(maxlist_2(|0|_0(),map_2(height_0(),xs)))

The estimated dependency graph contains the following SCCs:

  {p1}


-- 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(cons_0(),y) -> cons_1(y)
r2: app(cons_1(x1),y) -> cons_2(x1,y)
r3: app(height_0(),y) -> height_1(y)
r4: app(if_0(),y) -> if_1(y)
r5: app(if_1(x1),y) -> if_2(x1,y)
r6: app(le_0(),y) -> le_1(y)
r7: app(le_1(x1),y) -> le_2(x1,y)
r8: app(map_0(),y) -> map_1(y)
r9: app(map_1(x1),y) -> map_2(x1,y)
r10: app(maxlist_0(),y) -> maxlist_1(y)
r11: app(maxlist_1(x1),y) -> maxlist_2(x1,y)
r12: app(node_0(),y) -> node_1(y)
r13: app(node_1(x1),y) -> node_2(x1,y)
r14: app(s_0(),y) -> s_1(y)
r15: map_2(f,nil_0()) -> nil_0()
r16: map_2(f,cons_2(x,xs)) -> cons_2(app(f,x),map_2(f,xs))
r17: le_2(|0|_0(),y) -> true_0()
r18: le_2(s_1(x),|0|_0()) -> false_0()
r19: le_2(s_1(x),s_1(y)) -> le_2(x,y)
r20: maxlist_2(x,cons_2(y,ys)) -> if_2(le_2(x,y),maxlist_2(y,ys))
r21: maxlist_2(x,nil_0()) -> x
r22: height_1(node_2(x,xs)) -> s_1(maxlist_2(|0|_0(),map_2(height_0(),xs)))

The set of usable rules consists of

  r1, r4, r6, r8, r10, r12, r13, r14, r17, r18

Take the reduction pair:

  generalized weighted path order (>=MG, >MG)
  
    base order 1:
  
      matrix interpretation with standard point-wise order:
      
        carrier: N^1
        order: standard order
        interpretations:
          map_2#_A(x1,x2) = x1 + x2 + 8
          cons_2_A(x1,x2) = x1 + x2 + 7
          app_A(x1,x2) = x2 + 6
          cons_0_A() = 2
          cons_1_A(x1) = 1
          if_0_A() = 2
          if_1_A(x1) = 1
          le_0_A() = 2
          le_1_A(x1) = 1
          map_0_A() = 2
          map_1_A(x1) = 1
          maxlist_0_A() = 2
          maxlist_1_A(x1) = 1
          node_0_A() = 2
          node_1_A(x1) = 1
          node_2_A(x1,x2) = x2 + 5
          s_0_A() = 1
          s_1_A(x1) = x1
          le_2_A(x1,x2) = x2 + 2
          |0|_0_A() = 1
          true_0_A() = 0
          false_0_A() = 0
  
    base order 2:
  
      precedence:
      
        map_2# = map_0 = maxlist_0 = node_2 = le_2 > s_1 = |0|_0 > cons_2 = app = if_0 = le_0 = node_0 = s_0 = true_0 = false_0 > cons_1 = if_1 = le_1 = node_1 > cons_0 = map_1 = maxlist_1
      
  
    partial status:
  
      pi(map_2#) = [2]
      pi(cons_2) = []
      pi(app) = [2]
      pi(cons_0) = []
      pi(cons_1) = []
      pi(if_0) = []
      pi(if_1) = []
      pi(le_0) = []
      pi(le_1) = []
      pi(map_0) = []
      pi(map_1) = []
      pi(maxlist_0) = []
      pi(maxlist_1) = []
      pi(node_0) = []
      pi(node_1) = []
      pi(node_2) = [2]
      pi(s_0) = []
      pi(s_1) = []
      pi(le_2) = [2]
      pi(|0|_0) = []
      pi(true_0) = []
      pi(false_0) = []

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: maxlist_2#(x,cons_2(y,ys)) -> maxlist_2#(y,ys)

and R consists of:

r1: app(cons_0(),y) -> cons_1(y)
r2: app(cons_1(x1),y) -> cons_2(x1,y)
r3: app(height_0(),y) -> height_1(y)
r4: app(if_0(),y) -> if_1(y)
r5: app(if_1(x1),y) -> if_2(x1,y)
r6: app(le_0(),y) -> le_1(y)
r7: app(le_1(x1),y) -> le_2(x1,y)
r8: app(map_0(),y) -> map_1(y)
r9: app(map_1(x1),y) -> map_2(x1,y)
r10: app(maxlist_0(),y) -> maxlist_1(y)
r11: app(maxlist_1(x1),y) -> maxlist_2(x1,y)
r12: app(node_0(),y) -> node_1(y)
r13: app(node_1(x1),y) -> node_2(x1,y)
r14: app(s_0(),y) -> s_1(y)
r15: map_2(f,nil_0()) -> nil_0()
r16: map_2(f,cons_2(x,xs)) -> cons_2(app(f,x),map_2(f,xs))
r17: le_2(|0|_0(),y) -> true_0()
r18: le_2(s_1(x),|0|_0()) -> false_0()
r19: le_2(s_1(x),s_1(y)) -> le_2(x,y)
r20: maxlist_2(x,cons_2(y,ys)) -> if_2(le_2(x,y),maxlist_2(y,ys))
r21: maxlist_2(x,nil_0()) -> x
r22: height_1(node_2(x,xs)) -> s_1(maxlist_2(|0|_0(),map_2(height_0(),xs)))

The set of usable rules consists of

  r1, r4, r6, r8, r10, r12, r13, r17, r18

Take the reduction pair:

  generalized weighted path order (>=MG, >MG)
  
    base order 1:
  
      matrix interpretation with standard point-wise order:
      
        carrier: N^1
        order: standard order
        interpretations:
          maxlist_2#_A(x1,x2) = x2
          cons_2_A(x1,x2) = x2 + 6
          app_A(x1,x2) = 9
          cons_0_A() = 2
          cons_1_A(x1) = 1
          if_0_A() = 2
          if_1_A(x1) = 1
          le_0_A() = 2
          le_1_A(x1) = 1
          map_0_A() = 2
          map_1_A(x1) = 1
          maxlist_0_A() = 3
          maxlist_1_A(x1) = 2
          node_0_A() = 9
          node_1_A(x1) = 8
          node_2_A(x1,x2) = 7
          le_2_A(x1,x2) = x1 + x2 + 8
          |0|_0_A() = 1
          true_0_A() = 0
          s_1_A(x1) = x1 + 3
          false_0_A() = 2
  
    base order 2:
  
      precedence:
      
        le_2 = false_0 > cons_2 = le_0 > if_0 = le_1 > maxlist_2# = app = cons_0 = if_1 = map_0 = maxlist_0 = node_0 > cons_1 = map_1 = node_1 > node_2 > |0|_0 = s_1 > maxlist_1 = true_0
      
  
    partial status:
  
      pi(maxlist_2#) = [2]
      pi(cons_2) = []
      pi(app) = []
      pi(cons_0) = []
      pi(cons_1) = []
      pi(if_0) = []
      pi(if_1) = []
      pi(le_0) = []
      pi(le_1) = []
      pi(map_0) = []
      pi(map_1) = []
      pi(maxlist_0) = []
      pi(maxlist_1) = []
      pi(node_0) = []
      pi(node_1) = []
      pi(node_2) = []
      pi(le_2) = []
      pi(|0|_0) = []
      pi(true_0) = []
      pi(s_1) = [1]
      pi(false_0) = []

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: le_2#(s_1(x),s_1(y)) -> le_2#(x,y)

and R consists of:

r1: app(cons_0(),y) -> cons_1(y)
r2: app(cons_1(x1),y) -> cons_2(x1,y)
r3: app(height_0(),y) -> height_1(y)
r4: app(if_0(),y) -> if_1(y)
r5: app(if_1(x1),y) -> if_2(x1,y)
r6: app(le_0(),y) -> le_1(y)
r7: app(le_1(x1),y) -> le_2(x1,y)
r8: app(map_0(),y) -> map_1(y)
r9: app(map_1(x1),y) -> map_2(x1,y)
r10: app(maxlist_0(),y) -> maxlist_1(y)
r11: app(maxlist_1(x1),y) -> maxlist_2(x1,y)
r12: app(node_0(),y) -> node_1(y)
r13: app(node_1(x1),y) -> node_2(x1,y)
r14: app(s_0(),y) -> s_1(y)
r15: map_2(f,nil_0()) -> nil_0()
r16: map_2(f,cons_2(x,xs)) -> cons_2(app(f,x),map_2(f,xs))
r17: le_2(|0|_0(),y) -> true_0()
r18: le_2(s_1(x),|0|_0()) -> false_0()
r19: le_2(s_1(x),s_1(y)) -> le_2(x,y)
r20: maxlist_2(x,cons_2(y,ys)) -> if_2(le_2(x,y),maxlist_2(y,ys))
r21: maxlist_2(x,nil_0()) -> x
r22: height_1(node_2(x,xs)) -> s_1(maxlist_2(|0|_0(),map_2(height_0(),xs)))

The set of usable rules consists of

  r1, r4, r5, r7, r8, r10, r12, r13, r14, r17, r18, r19

Take the reduction pair:

  generalized weighted path order (>=MG, >MG)
  
    base order 1:
  
      matrix interpretation with standard point-wise order:
      
        carrier: N^1
        order: standard order
        interpretations:
          le_2#_A(x1,x2) = x1 + x2 + 3
          s_1_A(x1) = x1 + 2
          app_A(x1,x2) = x2 + 10
          cons_0_A() = 2
          cons_1_A(x1) = 1
          if_0_A() = 2
          if_1_A(x1) = 1
          if_2_A(x1,x2) = x2 + 9
          le_1_A(x1) = 11
          le_2_A(x1,x2) = x2 + 1
          map_0_A() = 2
          map_1_A(x1) = 1
          maxlist_0_A() = 2
          maxlist_1_A(x1) = 1
          node_0_A() = 2
          node_1_A(x1) = 1
          node_2_A(x1,x2) = x2 + 9
          s_0_A() = 1
          |0|_0_A() = 1
          true_0_A() = 0
          false_0_A() = 0
  
    base order 2:
  
      precedence:
      
        if_2 > le_2# = le_1 = map_0 = maxlist_0 = node_0 > app = cons_0 = if_0 > s_1 = cons_1 = if_1 = map_1 = maxlist_1 = node_1 > node_2 = s_0 > |0|_0 > true_0 = false_0 > le_2
      
  
    partial status:
  
      pi(le_2#) = [2]
      pi(s_1) = []
      pi(app) = []
      pi(cons_0) = []
      pi(cons_1) = []
      pi(if_0) = []
      pi(if_1) = []
      pi(if_2) = []
      pi(le_1) = []
      pi(le_2) = [2]
      pi(map_0) = []
      pi(map_1) = []
      pi(maxlist_0) = []
      pi(maxlist_1) = []
      pi(node_0) = []
      pi(node_1) = []
      pi(node_2) = []
      pi(s_0) = []
      pi(|0|_0) = []
      pi(true_0) = []
      pi(false_0) = []

The following rules are removed:

  p1

Then no dependency pair remains.