YES
We show the termination of the TRS R:

  app(f(),app(s(),x)) -> app(f(),x)
  app(g(),app(app(cons(),|0|()),y)) -> app(g(),y)
  app(g(),app(app(cons(),app(s(),x)),y)) -> app(s(),x)
  app(h(),app(app(cons(),x),y)) -> app(h(),app(g(),app(app(cons(),x),y)))
  app(app(map(),|fun|),nil()) -> nil()
  app(app(map(),|fun|),app(app(cons(),x),xs)) -> app(app(cons(),app(|fun|,x)),app(app(map(),|fun|),xs))
  app(app(filter(),|fun|),nil()) -> nil()
  app(app(filter(),|fun|),app(app(cons(),x),xs)) -> app(app(app(app(filter2(),app(|fun|,x)),|fun|),x),xs)
  app(app(app(app(filter2(),true()),|fun|),x),xs) -> app(app(cons(),x),app(app(filter(),|fun|),xs))
  app(app(app(app(filter2(),false()),|fun|),x),xs) -> app(app(filter(),|fun|),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(f_0(),y) -> f_1(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(g_0(),y) -> g_1(y)
  app(h_0(),y) -> h_1(y)
  app(map_0(),y) -> map_1(y)
  app(map_1(x1),y) -> map_2(x1,y)
  app(s_0(),y) -> s_1(y)
  f_1(s_1(x)) -> f_1(x)
  g_1(cons_2(|0|_0(),y)) -> g_1(y)
  g_1(cons_2(s_1(x),y)) -> s_1(x)
  h_1(cons_2(x,y)) -> h_1(g_1(cons_2(x,y)))
  map_2(|fun|,nil_0()) -> nil_0()
  map_2(|fun|,cons_2(x,xs)) -> cons_2(app(|fun|,x),map_2(|fun|,xs))
  filter_2(|fun|,nil_0()) -> nil_0()
  filter_2(|fun|,cons_2(x,xs)) -> filter2_4(app(|fun|,x),|fun|,x,xs)
  filter2_4(true_0(),|fun|,x,xs) -> cons_2(x,filter_2(|fun|,xs))
  filter2_4(false_0(),|fun|,x,xs) -> filter_2(|fun|,xs)


-- SCC decomposition.

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

p1: app#(f_0(),y) -> f_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#(g_0(),y) -> g_1#(y)
p5: app#(h_0(),y) -> h_1#(y)
p6: app#(map_1(x1),y) -> map_2#(x1,y)
p7: f_1#(s_1(x)) -> f_1#(x)
p8: g_1#(cons_2(|0|_0(),y)) -> g_1#(y)
p9: h_1#(cons_2(x,y)) -> h_1#(g_1(cons_2(x,y)))
p10: h_1#(cons_2(x,y)) -> g_1#(cons_2(x,y))
p11: map_2#(|fun|,cons_2(x,xs)) -> app#(|fun|,x)
p12: map_2#(|fun|,cons_2(x,xs)) -> map_2#(|fun|,xs)
p13: filter_2#(|fun|,cons_2(x,xs)) -> filter2_4#(app(|fun|,x),|fun|,x,xs)
p14: filter_2#(|fun|,cons_2(x,xs)) -> app#(|fun|,x)
p15: filter2_4#(true_0(),|fun|,x,xs) -> filter_2#(|fun|,xs)
p16: filter2_4#(false_0(),|fun|,x,xs) -> filter_2#(|fun|,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(f_0(),y) -> f_1(y)
r4: app(filter_0(),y) -> filter_1(y)
r5: app(filter_1(x1),y) -> filter_2(x1,y)
r6: app(filter2_0(),y) -> filter2_1(y)
r7: app(filter2_1(x1),y) -> filter2_2(x1,y)
r8: app(filter2_2(x1,x2),y) -> filter2_3(x1,x2,y)
r9: app(filter2_3(x1,x2,x3),y) -> filter2_4(x1,x2,x3,y)
r10: app(g_0(),y) -> g_1(y)
r11: app(h_0(),y) -> h_1(y)
r12: app(map_0(),y) -> map_1(y)
r13: app(map_1(x1),y) -> map_2(x1,y)
r14: app(s_0(),y) -> s_1(y)
r15: f_1(s_1(x)) -> f_1(x)
r16: g_1(cons_2(|0|_0(),y)) -> g_1(y)
r17: g_1(cons_2(s_1(x),y)) -> s_1(x)
r18: h_1(cons_2(x,y)) -> h_1(g_1(cons_2(x,y)))
r19: map_2(|fun|,nil_0()) -> nil_0()
r20: map_2(|fun|,cons_2(x,xs)) -> cons_2(app(|fun|,x),map_2(|fun|,xs))
r21: filter_2(|fun|,nil_0()) -> nil_0()
r22: filter_2(|fun|,cons_2(x,xs)) -> filter2_4(app(|fun|,x),|fun|,x,xs)
r23: filter2_4(true_0(),|fun|,x,xs) -> cons_2(x,filter_2(|fun|,xs))
r24: filter2_4(false_0(),|fun|,x,xs) -> filter_2(|fun|,xs)

The estimated dependency graph contains the following SCCs:

  {p2, p3, p6, p11, p12, p13, p14, p15, p16}
  {p7}
  {p9}
  {p8}


-- Reduction pair.

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

p1: map_2#(|fun|,cons_2(x,xs)) -> app#(|fun|,x)
p2: app#(map_1(x1),y) -> map_2#(x1,y)
p3: map_2#(|fun|,cons_2(x,xs)) -> map_2#(|fun|,xs)
p4: app#(filter2_3(x1,x2,x3),y) -> filter2_4#(x1,x2,x3,y)
p5: filter2_4#(false_0(),|fun|,x,xs) -> filter_2#(|fun|,xs)
p6: filter_2#(|fun|,cons_2(x,xs)) -> app#(|fun|,x)
p7: app#(filter_1(x1),y) -> filter_2#(x1,y)
p8: filter_2#(|fun|,cons_2(x,xs)) -> filter2_4#(app(|fun|,x),|fun|,x,xs)
p9: filter2_4#(true_0(),|fun|,x,xs) -> filter_2#(|fun|,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(f_0(),y) -> f_1(y)
r4: app(filter_0(),y) -> filter_1(y)
r5: app(filter_1(x1),y) -> filter_2(x1,y)
r6: app(filter2_0(),y) -> filter2_1(y)
r7: app(filter2_1(x1),y) -> filter2_2(x1,y)
r8: app(filter2_2(x1,x2),y) -> filter2_3(x1,x2,y)
r9: app(filter2_3(x1,x2,x3),y) -> filter2_4(x1,x2,x3,y)
r10: app(g_0(),y) -> g_1(y)
r11: app(h_0(),y) -> h_1(y)
r12: app(map_0(),y) -> map_1(y)
r13: app(map_1(x1),y) -> map_2(x1,y)
r14: app(s_0(),y) -> s_1(y)
r15: f_1(s_1(x)) -> f_1(x)
r16: g_1(cons_2(|0|_0(),y)) -> g_1(y)
r17: g_1(cons_2(s_1(x),y)) -> s_1(x)
r18: h_1(cons_2(x,y)) -> h_1(g_1(cons_2(x,y)))
r19: map_2(|fun|,nil_0()) -> nil_0()
r20: map_2(|fun|,cons_2(x,xs)) -> cons_2(app(|fun|,x),map_2(|fun|,xs))
r21: filter_2(|fun|,nil_0()) -> nil_0()
r22: filter_2(|fun|,cons_2(x,xs)) -> filter2_4(app(|fun|,x),|fun|,x,xs)
r23: filter2_4(true_0(),|fun|,x,xs) -> cons_2(x,filter_2(|fun|,xs))
r24: filter2_4(false_0(),|fun|,x,xs) -> filter_2(|fun|,xs)

The set of usable rules consists of

  r2, r13, r14, r19, r20, r23

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{29, x1 + 21}
        cons_2_A(x1,x2) = 12
        app#_A(x1,x2) = max{20, x1 + 6}
        map_1_A(x1) = max{30, x1 + 22}
        filter2_3_A(x1,x2,x3) = max{28, x2 + 20, x3 + 6}
        filter2_4#_A(x1,x2,x3,x4) = max{27, x2 + 19}
        false_0_A = 28
        filter_2#_A(x1,x2) = max{27, x1 + 19}
        filter_1_A(x1) = max{28, x1 + 20}
        app_A(x1,x2) = 18
        true_0_A = 17
        cons_1_A(x1) = 19
        map_2_A(x1,x2) = 15
        s_0_A = 2
        s_1_A(x1) = 2
        nil_0_A = 14
        filter2_4_A(x1,x2,x3,x4) = max{2, x1 - 5}
        filter_2_A(x1,x2) = max{1, 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:
            map_2#_A(x1,x2) = x1
            cons_2_A(x1,x2) = 0
            app#_A(x1,x2) = x1
            map_1_A(x1) = x1 + 11
            filter2_3_A(x1,x2,x3) = x1 + x2 + x3 + 8
            filter2_4#_A(x1,x2,x3,x4) = x2 + 3
            false_0_A() = 1
            filter_2#_A(x1,x2) = x1 + 3
            filter_1_A(x1) = x1 + 3
            app_A(x1,x2) = x1 + 1
            true_0_A() = 1
            cons_1_A(x1) = 3
            map_2_A(x1,x2) = 12
            s_0_A() = 1
            s_1_A(x1) = 0
            nil_0_A() = 12
            filter2_4_A(x1,x2,x3,x4) = 10
            filter_2_A(x1,x2) = x1 + 11
            map_2#!_A(x1,x2) = 10
            cons_2!_A(x1,x2) = 11
            app#!_A(x1,x2) = 12
            map_1!_A(x1) = x1 + 12
            filter2_3!_A(x1,x2,x3) = 7
            filter2_4#!_A(x1,x2,x3,x4) = 13
            false_0!_A() = 0
            filter_2#!_A(x1,x2) = 13
            filter_1!_A(x1) = x1 + 5
            app!_A(x1,x2) = x1 + x2
            true_0!_A() = 12
            cons_1!_A(x1) = 12
            map_2!_A(x1,x2) = 11
            s_0!_A() = 0
            s_1!_A(x1) = 3
            nil_0!_A() = 5
            filter2_4!_A(x1,x2,x3,x4) = 12
            filter_2!_A(x1,x2) = x1 + 4
  
    partial status:
  
      pi(map_2#) = []
      pi(cons_2) = []
      pi(app#) = []
      pi(map_1) = []
      pi(filter2_3) = []
      pi(filter2_4#) = [2]
      pi(false_0) = []
      pi(filter_2#) = [1]
      pi(filter_1) = [1]
      pi(app) = []
      pi(true_0) = []
      pi(cons_1) = []
      pi(map_2) = []
      pi(s_0) = []
      pi(s_1) = []
      pi(nil_0) = []
      pi(filter2_4) = []
      pi(filter_2) = []

The following rules are removed:

  p1, p2, p4, p6, p7



-- SCC decomposition.

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

p1: map_2#(|fun|,cons_2(x,xs)) -> map_2#(|fun|,xs)
p2: filter2_4#(false_0(),|fun|,x,xs) -> filter_2#(|fun|,xs)
p3: filter_2#(|fun|,cons_2(x,xs)) -> filter2_4#(app(|fun|,x),|fun|,x,xs)
p4: filter2_4#(true_0(),|fun|,x,xs) -> filter_2#(|fun|,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(f_0(),y) -> f_1(y)
r4: app(filter_0(),y) -> filter_1(y)
r5: app(filter_1(x1),y) -> filter_2(x1,y)
r6: app(filter2_0(),y) -> filter2_1(y)
r7: app(filter2_1(x1),y) -> filter2_2(x1,y)
r8: app(filter2_2(x1,x2),y) -> filter2_3(x1,x2,y)
r9: app(filter2_3(x1,x2,x3),y) -> filter2_4(x1,x2,x3,y)
r10: app(g_0(),y) -> g_1(y)
r11: app(h_0(),y) -> h_1(y)
r12: app(map_0(),y) -> map_1(y)
r13: app(map_1(x1),y) -> map_2(x1,y)
r14: app(s_0(),y) -> s_1(y)
r15: f_1(s_1(x)) -> f_1(x)
r16: g_1(cons_2(|0|_0(),y)) -> g_1(y)
r17: g_1(cons_2(s_1(x),y)) -> s_1(x)
r18: h_1(cons_2(x,y)) -> h_1(g_1(cons_2(x,y)))
r19: map_2(|fun|,nil_0()) -> nil_0()
r20: map_2(|fun|,cons_2(x,xs)) -> cons_2(app(|fun|,x),map_2(|fun|,xs))
r21: filter_2(|fun|,nil_0()) -> nil_0()
r22: filter_2(|fun|,cons_2(x,xs)) -> filter2_4(app(|fun|,x),|fun|,x,xs)
r23: filter2_4(true_0(),|fun|,x,xs) -> cons_2(x,filter_2(|fun|,xs))
r24: filter2_4(false_0(),|fun|,x,xs) -> filter_2(|fun|,xs)

The estimated dependency graph contains the following SCCs:

  {p1}
  {p2, p3, p4}


-- Reduction pair.

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

p1: map_2#(|fun|,cons_2(x,xs)) -> map_2#(|fun|,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(f_0(),y) -> f_1(y)
r4: app(filter_0(),y) -> filter_1(y)
r5: app(filter_1(x1),y) -> filter_2(x1,y)
r6: app(filter2_0(),y) -> filter2_1(y)
r7: app(filter2_1(x1),y) -> filter2_2(x1,y)
r8: app(filter2_2(x1,x2),y) -> filter2_3(x1,x2,y)
r9: app(filter2_3(x1,x2,x3),y) -> filter2_4(x1,x2,x3,y)
r10: app(g_0(),y) -> g_1(y)
r11: app(h_0(),y) -> h_1(y)
r12: app(map_0(),y) -> map_1(y)
r13: app(map_1(x1),y) -> map_2(x1,y)
r14: app(s_0(),y) -> s_1(y)
r15: f_1(s_1(x)) -> f_1(x)
r16: g_1(cons_2(|0|_0(),y)) -> g_1(y)
r17: g_1(cons_2(s_1(x),y)) -> s_1(x)
r18: h_1(cons_2(x,y)) -> h_1(g_1(cons_2(x,y)))
r19: map_2(|fun|,nil_0()) -> nil_0()
r20: map_2(|fun|,cons_2(x,xs)) -> cons_2(app(|fun|,x),map_2(|fun|,xs))
r21: filter_2(|fun|,nil_0()) -> nil_0()
r22: filter_2(|fun|,cons_2(x,xs)) -> filter2_4(app(|fun|,x),|fun|,x,xs)
r23: filter2_4(true_0(),|fun|,x,xs) -> cons_2(x,filter_2(|fun|,xs))
r24: filter2_4(false_0(),|fun|,x,xs) -> filter_2(|fun|,xs)

The set of usable rules consists of

  r21

Take the reduction pair:

  generalized weighted path order (>=MG, >G)
  
    base order 1:
  
      max/plus interpretation on natural numbers:
      
        map_2#_A(x1,x2) = 21
        cons_2_A(x1,x2) = max{x1 + 41, x2 + 20}
        filter_2_A(x1,x2) = max{19, x1 - 33, x2 - 42}
        nil_0_A = 0
  
    base order 2:
  
      marked-algebra reduction triple (>=A, >=A!, >A!):
      
        matrix interpretation with standard point-wise order:
        
          carrier: N^1
          order: standard order
          interpretations:
            map_2#_A(x1,x2) = x2
            cons_2_A(x1,x2) = x1 + x2 + 5
            filter_2_A(x1,x2) = x1 + x2 + 10
            nil_0_A() = 6
            map_2#!_A(x1,x2) = x2
            cons_2!_A(x1,x2) = x1 + x2 + 2
            filter_2!_A(x1,x2) = x1 + x2 + 5
            nil_0!_A() = 0
  
    partial status:
  
      pi(map_2#) = []
      pi(cons_2) = []
      pi(filter_2) = []
      pi(nil_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: filter2_4#(false_0(),|fun|,x,xs) -> filter_2#(|fun|,xs)
p2: filter_2#(|fun|,cons_2(x,xs)) -> filter2_4#(app(|fun|,x),|fun|,x,xs)
p3: filter2_4#(true_0(),|fun|,x,xs) -> filter_2#(|fun|,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(f_0(),y) -> f_1(y)
r4: app(filter_0(),y) -> filter_1(y)
r5: app(filter_1(x1),y) -> filter_2(x1,y)
r6: app(filter2_0(),y) -> filter2_1(y)
r7: app(filter2_1(x1),y) -> filter2_2(x1,y)
r8: app(filter2_2(x1,x2),y) -> filter2_3(x1,x2,y)
r9: app(filter2_3(x1,x2,x3),y) -> filter2_4(x1,x2,x3,y)
r10: app(g_0(),y) -> g_1(y)
r11: app(h_0(),y) -> h_1(y)
r12: app(map_0(),y) -> map_1(y)
r13: app(map_1(x1),y) -> map_2(x1,y)
r14: app(s_0(),y) -> s_1(y)
r15: f_1(s_1(x)) -> f_1(x)
r16: g_1(cons_2(|0|_0(),y)) -> g_1(y)
r17: g_1(cons_2(s_1(x),y)) -> s_1(x)
r18: h_1(cons_2(x,y)) -> h_1(g_1(cons_2(x,y)))
r19: map_2(|fun|,nil_0()) -> nil_0()
r20: map_2(|fun|,cons_2(x,xs)) -> cons_2(app(|fun|,x),map_2(|fun|,xs))
r21: filter_2(|fun|,nil_0()) -> nil_0()
r22: filter_2(|fun|,cons_2(x,xs)) -> filter2_4(app(|fun|,x),|fun|,x,xs)
r23: filter2_4(true_0(),|fun|,x,xs) -> cons_2(x,filter_2(|fun|,xs))
r24: filter2_4(false_0(),|fun|,x,xs) -> filter_2(|fun|,xs)

The set of usable rules consists of

  r21

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) = 2
        false_0_A = 3
        filter_2#_A(x1,x2) = 2
        cons_2_A(x1,x2) = max{2, x1 - 17, x2 - 17}
        app_A(x1,x2) = max{x1 - 11, x2 + 16}
        true_0_A = 1
        filter_2_A(x1,x2) = max{12, x1 - 44, x2 - 6}
        nil_0_A = 1
  
    base order 2:
  
      marked-algebra reduction triple (>=A, >=A!, >A!):
      
        matrix interpretation with standard point-wise order:
        
          carrier: N^1
          order: standard order
          interpretations:
            filter2_4#_A(x1,x2,x3,x4) = x4
            false_0_A() = 1
            filter_2#_A(x1,x2) = x2
            cons_2_A(x1,x2) = x1 + x2 + 5
            app_A(x1,x2) = x1 + x2 + 1
            true_0_A() = 1
            filter_2_A(x1,x2) = x1 + x2 + 10
            nil_0_A() = 6
            filter2_4#!_A(x1,x2,x3,x4) = x4 + 1
            false_0!_A() = 10
            filter_2#!_A(x1,x2) = x2 + 1
            cons_2!_A(x1,x2) = x1 + x2 + 2
            app!_A(x1,x2) = x2 + 8
            true_0!_A() = 0
            filter_2!_A(x1,x2) = 9
            nil_0!_A() = 8
  
    partial status:
  
      pi(filter2_4#) = []
      pi(false_0) = []
      pi(filter_2#) = []
      pi(cons_2) = []
      pi(app) = []
      pi(true_0) = []
      pi(filter_2) = []
      pi(nil_0) = []

The following rules are removed:

  p2



-- SCC decomposition.

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

p1: filter2_4#(false_0(),|fun|,x,xs) -> filter_2#(|fun|,xs)
p2: filter2_4#(true_0(),|fun|,x,xs) -> filter_2#(|fun|,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(f_0(),y) -> f_1(y)
r4: app(filter_0(),y) -> filter_1(y)
r5: app(filter_1(x1),y) -> filter_2(x1,y)
r6: app(filter2_0(),y) -> filter2_1(y)
r7: app(filter2_1(x1),y) -> filter2_2(x1,y)
r8: app(filter2_2(x1,x2),y) -> filter2_3(x1,x2,y)
r9: app(filter2_3(x1,x2,x3),y) -> filter2_4(x1,x2,x3,y)
r10: app(g_0(),y) -> g_1(y)
r11: app(h_0(),y) -> h_1(y)
r12: app(map_0(),y) -> map_1(y)
r13: app(map_1(x1),y) -> map_2(x1,y)
r14: app(s_0(),y) -> s_1(y)
r15: f_1(s_1(x)) -> f_1(x)
r16: g_1(cons_2(|0|_0(),y)) -> g_1(y)
r17: g_1(cons_2(s_1(x),y)) -> s_1(x)
r18: h_1(cons_2(x,y)) -> h_1(g_1(cons_2(x,y)))
r19: map_2(|fun|,nil_0()) -> nil_0()
r20: map_2(|fun|,cons_2(x,xs)) -> cons_2(app(|fun|,x),map_2(|fun|,xs))
r21: filter_2(|fun|,nil_0()) -> nil_0()
r22: filter_2(|fun|,cons_2(x,xs)) -> filter2_4(app(|fun|,x),|fun|,x,xs)
r23: filter2_4(true_0(),|fun|,x,xs) -> cons_2(x,filter_2(|fun|,xs))
r24: filter2_4(false_0(),|fun|,x,xs) -> filter_2(|fun|,xs)

The estimated dependency graph contains the following SCCs:

  (no SCCs)

-- Reduction pair.

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

p1: f_1#(s_1(x)) -> f_1#(x)

and R consists of:

r1: app(cons_0(),y) -> cons_1(y)
r2: app(cons_1(x1),y) -> cons_2(x1,y)
r3: app(f_0(),y) -> f_1(y)
r4: app(filter_0(),y) -> filter_1(y)
r5: app(filter_1(x1),y) -> filter_2(x1,y)
r6: app(filter2_0(),y) -> filter2_1(y)
r7: app(filter2_1(x1),y) -> filter2_2(x1,y)
r8: app(filter2_2(x1,x2),y) -> filter2_3(x1,x2,y)
r9: app(filter2_3(x1,x2,x3),y) -> filter2_4(x1,x2,x3,y)
r10: app(g_0(),y) -> g_1(y)
r11: app(h_0(),y) -> h_1(y)
r12: app(map_0(),y) -> map_1(y)
r13: app(map_1(x1),y) -> map_2(x1,y)
r14: app(s_0(),y) -> s_1(y)
r15: f_1(s_1(x)) -> f_1(x)
r16: g_1(cons_2(|0|_0(),y)) -> g_1(y)
r17: g_1(cons_2(s_1(x),y)) -> s_1(x)
r18: h_1(cons_2(x,y)) -> h_1(g_1(cons_2(x,y)))
r19: map_2(|fun|,nil_0()) -> nil_0()
r20: map_2(|fun|,cons_2(x,xs)) -> cons_2(app(|fun|,x),map_2(|fun|,xs))
r21: filter_2(|fun|,nil_0()) -> nil_0()
r22: filter_2(|fun|,cons_2(x,xs)) -> filter2_4(app(|fun|,x),|fun|,x,xs)
r23: filter2_4(true_0(),|fun|,x,xs) -> cons_2(x,filter_2(|fun|,xs))
r24: filter2_4(false_0(),|fun|,x,xs) -> filter_2(|fun|,xs)

The set of usable rules consists of

  r21

Take the reduction pair:

  generalized weighted path order (>=MG, >G)
  
    base order 1:
  
      max/plus interpretation on natural numbers:
      
        f_1#_A(x1) = x1 + 1
        s_1_A(x1) = max{9, x1 + 2}
        filter_2_A(x1,x2) = max{3, x1 - 15}
        nil_0_A = 1
  
    base order 2:
  
      marked-algebra reduction triple (>=A, >=A!, >A!):
      
        matrix interpretation with standard point-wise order:
        
          carrier: N^1
          order: standard order
          interpretations:
            f_1#_A(x1) = x1
            s_1_A(x1) = x1 + 5
            filter_2_A(x1,x2) = x2 + 18
            nil_0_A() = 21
            f_1#!_A(x1) = x1 + 26
            s_1!_A(x1) = x1 + 25
            filter_2!_A(x1,x2) = 1
            nil_0!_A() = 2
  
    partial status:
  
      pi(f_1#) = [1]
      pi(s_1) = [1]
      pi(filter_2) = []
      pi(nil_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: h_1#(cons_2(x,y)) -> h_1#(g_1(cons_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(f_0(),y) -> f_1(y)
r4: app(filter_0(),y) -> filter_1(y)
r5: app(filter_1(x1),y) -> filter_2(x1,y)
r6: app(filter2_0(),y) -> filter2_1(y)
r7: app(filter2_1(x1),y) -> filter2_2(x1,y)
r8: app(filter2_2(x1,x2),y) -> filter2_3(x1,x2,y)
r9: app(filter2_3(x1,x2,x3),y) -> filter2_4(x1,x2,x3,y)
r10: app(g_0(),y) -> g_1(y)
r11: app(h_0(),y) -> h_1(y)
r12: app(map_0(),y) -> map_1(y)
r13: app(map_1(x1),y) -> map_2(x1,y)
r14: app(s_0(),y) -> s_1(y)
r15: f_1(s_1(x)) -> f_1(x)
r16: g_1(cons_2(|0|_0(),y)) -> g_1(y)
r17: g_1(cons_2(s_1(x),y)) -> s_1(x)
r18: h_1(cons_2(x,y)) -> h_1(g_1(cons_2(x,y)))
r19: map_2(|fun|,nil_0()) -> nil_0()
r20: map_2(|fun|,cons_2(x,xs)) -> cons_2(app(|fun|,x),map_2(|fun|,xs))
r21: filter_2(|fun|,nil_0()) -> nil_0()
r22: filter_2(|fun|,cons_2(x,xs)) -> filter2_4(app(|fun|,x),|fun|,x,xs)
r23: filter2_4(true_0(),|fun|,x,xs) -> cons_2(x,filter_2(|fun|,xs))
r24: filter2_4(false_0(),|fun|,x,xs) -> filter_2(|fun|,xs)

The set of usable rules consists of

  r10, r16, r17, r21

Take the reduction pair:

  generalized weighted path order (>=MG, >G)
  
    base order 1:
  
      max/plus interpretation on natural numbers:
      
        h_1#_A(x1) = max{5, x1 + 1}
        cons_2_A(x1,x2) = max{14, x1 + 6}
        g_1_A(x1) = 3
        app_A(x1,x2) = max{27, x1 + 24, x2 - 7}
        g_0_A = 4
        |0|_0_A = 4
        s_1_A(x1) = 2
        filter_2_A(x1,x2) = 12
        nil_0_A = 7
  
    base order 2:
  
      marked-algebra reduction triple (>=A, >=A!, >A!):
      
        matrix interpretation with standard point-wise order:
        
          carrier: N^1
          order: standard order
          interpretations:
            h_1#_A(x1) = x1
            cons_2_A(x1,x2) = x1 + x2 + 5
            g_1_A(x1) = x1
            app_A(x1,x2) = x1 + x2 + 1
            g_0_A() = 1
            |0|_0_A() = 1
            s_1_A(x1) = x1 + 3
            filter_2_A(x1,x2) = x1 + x2 + 10
            nil_0_A() = 6
            h_1#!_A(x1) = x1 + 11
            cons_2!_A(x1,x2) = x1 + 8
            g_1!_A(x1) = x1 + 10
            app!_A(x1,x2) = 6
            g_0!_A() = 11
            |0|_0!_A() = 0
            s_1!_A(x1) = x1 + 8
            filter_2!_A(x1,x2) = 6
            nil_0!_A() = 0
  
    partial status:
  
      pi(h_1#) = [1]
      pi(cons_2) = []
      pi(g_1) = []
      pi(app) = [1]
      pi(g_0) = []
      pi(|0|_0) = []
      pi(s_1) = []
      pi(filter_2) = []
      pi(nil_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: g_1#(cons_2(|0|_0(),y)) -> g_1#(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(f_0(),y) -> f_1(y)
r4: app(filter_0(),y) -> filter_1(y)
r5: app(filter_1(x1),y) -> filter_2(x1,y)
r6: app(filter2_0(),y) -> filter2_1(y)
r7: app(filter2_1(x1),y) -> filter2_2(x1,y)
r8: app(filter2_2(x1,x2),y) -> filter2_3(x1,x2,y)
r9: app(filter2_3(x1,x2,x3),y) -> filter2_4(x1,x2,x3,y)
r10: app(g_0(),y) -> g_1(y)
r11: app(h_0(),y) -> h_1(y)
r12: app(map_0(),y) -> map_1(y)
r13: app(map_1(x1),y) -> map_2(x1,y)
r14: app(s_0(),y) -> s_1(y)
r15: f_1(s_1(x)) -> f_1(x)
r16: g_1(cons_2(|0|_0(),y)) -> g_1(y)
r17: g_1(cons_2(s_1(x),y)) -> s_1(x)
r18: h_1(cons_2(x,y)) -> h_1(g_1(cons_2(x,y)))
r19: map_2(|fun|,nil_0()) -> nil_0()
r20: map_2(|fun|,cons_2(x,xs)) -> cons_2(app(|fun|,x),map_2(|fun|,xs))
r21: filter_2(|fun|,nil_0()) -> nil_0()
r22: filter_2(|fun|,cons_2(x,xs)) -> filter2_4(app(|fun|,x),|fun|,x,xs)
r23: filter2_4(true_0(),|fun|,x,xs) -> cons_2(x,filter_2(|fun|,xs))
r24: filter2_4(false_0(),|fun|,x,xs) -> filter_2(|fun|,xs)

The set of usable rules consists of

  r21

Take the reduction pair:

  generalized weighted path order (>=MG, >G)
  
    base order 1:
  
      max/plus interpretation on natural numbers:
      
        g_1#_A(x1) = 8
        cons_2_A(x1,x2) = max{x1 + 12, x2 + 7}
        |0|_0_A = 32
        filter_2_A(x1,x2) = max{33, x1 - 22, x2 - 11}
        nil_0_A = 0
  
    base order 2:
  
      marked-algebra reduction triple (>=A, >=A!, >A!):
      
        matrix interpretation with standard point-wise order:
        
          carrier: N^1
          order: standard order
          interpretations:
            g_1#_A(x1) = x1
            cons_2_A(x1,x2) = x1 + x2 + 5
            |0|_0_A() = 1
            filter_2_A(x1,x2) = x1 + x2 + 10
            nil_0_A() = 7
            g_1#!_A(x1) = x1 + 4
            cons_2!_A(x1,x2) = x1 + x2 + 2
            |0|_0!_A() = 0
            filter_2!_A(x1,x2) = x2 + 10
            nil_0!_A() = 0
  
    partial status:
  
      pi(g_1#) = []
      pi(cons_2) = [2]
      pi(|0|_0) = []
      pi(filter_2) = []
      pi(nil_0) = []

The following rules are removed:

  p1

Then no dependency pair remains.