# Averages/Pythagorean means

Compute all three of the Pythagorean means of the set of integers 1 through 10 (inclusive).

Averages/Pythagorean means
You are encouraged to solve this task according to the task description, using any language you may know.

Show that ${\displaystyle A(x_{1},\ldots ,x_{n})\geq G(x_{1},\ldots ,x_{n})\geq H(x_{1},\ldots ,x_{n})}$ for this set of positive integers.

• The most common of the three means, the arithmetic mean, is the sum of the list divided by its length:
${\displaystyle A(x_{1},\ldots ,x_{n})={\frac {x_{1}+\cdots +x_{n}}{n}}}$
• The geometric mean is the ${\displaystyle n}$th root of the product of the list:
${\displaystyle G(x_{1},\ldots ,x_{n})={\sqrt[{n}]{x_{1}\cdots x_{n}}}}$
• The harmonic mean is ${\displaystyle n}$ divided by the sum of the reciprocal of each item in the list:
${\displaystyle H(x_{1},\ldots ,x_{n})={\frac {n}{{\frac {1}{x_{1}}}+\cdots +{\frac {1}{x_{n}}}}}}$

## 11l

F amean(num)
R sum(num)/Float(num.len)

F gmean(num)
R product(num) ^ (1.0/num.len)

F hmean(num)
return num.len / sum(num.map(n -> 1.0/n))

V numbers = [1, 2, 3, 4, 5, 6, 7, 8, 9, 10]
print(amean(numbers))
print(gmean(numbers))
print(hmean(numbers))
Output:
5.5
4.52873
3.41417


## Action!

INCLUDE "D2:REAL.ACT" ;from the Action! Tool Kit

PROC InverseI(INT a,result)
REAL one,x

IntToReal(1,one)
IntToReal(a,x)
RealDiv(one,x,result)
RETURN

PROC ArithmeticMean(INT ARRAY a INT count REAL POINTER result)
INT i
REAL x,sum,tmp

IntToReal(0,sum)
FOR i=0 TO count-1
DO
IntToReal(a(i),x)
RealAssign(tmp,sum)
OD
IntToReal(count,tmp)
RealDiv(sum,tmp,result)
RETURN

PROC GeometricMean(INT ARRAY a INT count REAL POINTER result)
INT i
REAL x,prod,tmp

IntToReal(1,prod)
FOR i=0 TO count-1
DO
IntToReal(a(i),x)
RealMult(prod,x,tmp)
RealAssign(tmp,prod)
OD
InverseI(count,tmp)
Power(prod,tmp,result)
RETURN

PROC HarmonicMean(INT ARRAY a INT count REAL POINTER result)
INT i
REAL x,sum,tmp

IntToReal(0,sum)
FOR i=0 TO count-1
DO
InverseI(a(i),x)
RealAssign(tmp,sum)
OD
IntToReal(count,tmp)
RealDiv(tmp,sum,result)
RETURN

PROC Main()
BYTE i
INT ARRAY a=[1 2 3 4 5 6 7 8 9 10]
REAL result

Put(125) PutE() ;clear screen

ArithmeticMean(a,10,result)
Print("Arithmetic mean=") PrintRE(result)
GeometricMean(a,10,result)
Print(" Geometric mean=") PrintRE(result)
HarmonicMean(a,10,result)
Print("  Harmonic mean=") PrintRE(result)
RETURN
Output:
Arithmetic mean=5.5
Geometric mean=4.52872861
Harmonic mean=3.41417153


## ActionScript

function arithmeticMean(v:Vector.<Number>):Number
{
var sum:Number = 0;
for(var i: uint = 0; i < v.length; i++)
sum += v[i];
return sum/v.length;
}
function geometricMean(v:Vector.<Number>):Number
{
var product:Number = 1;
for(var i: uint = 0; i < v.length; i++)
product *= v[i];
return Math.pow(product, 1/v.length);
}
function harmonicMean(v:Vector.<Number>):Number
{
var sum:Number = 0;
for(var i: uint = 0; i < v.length; i++)
sum += 1/v[i];
return v.length/sum;
}
var list:Vector.<Number> = Vector.<Number>([1,2,3,4,5,6,7,8,9,10]);
trace("Arithmetic: ", arithmeticMean(list));
trace("Geometric: ", geometricMean(list));
trace("Harmonic: ", harmonicMean(list));


package Pythagorean_Means is
type Set is array (Positive range <>) of Float;
function Arithmetic_Mean (Data : Set) return Float;
function Geometric_Mean  (Data : Set) return Float;
function Harmonic_Mean   (Data : Set) return Float;
end Pythagorean_Means;


with Ada.Numerics.Generic_Elementary_Functions;
package body Pythagorean_Means is
package Math is new Ada.Numerics.Generic_Elementary_Functions (Float);
function "**" (Left, Right : Float) return Float renames Math."**";

function Arithmetic_Mean (Data : Set) return Float is
Sum : Float := 0.0;
begin
for I in Data'Range loop
Sum := Sum + Data (I);
end loop;
return Sum / Float (Data'Length);
end Arithmetic_Mean;

function Geometric_Mean (Data : Set) return Float is
Product : Float := 1.0;
begin
for I in Data'Range loop
Product := Product * Data (I);
end loop;
return Product**(1.0/Float(Data'Length));
end Geometric_Mean;

function Harmonic_Mean (Data : Set) return Float is
Reciprocal_Sum : Float := 0.0;
begin
for I in Data'Range loop
Reciprocal_Sum := Reciprocal_Sum + Data (I)**(-1);
end loop;
return Float (Data'Length) / Reciprocal_Sum;
end Harmonic_Mean;

end Pythagorean_Means;


with Ada.Text_IO;
with Pythagorean_Means;
procedure Main is
My_Set : Pythagorean_Means.Set := (1.0, 2.0, 3.0, 4.0,  5.0,
6.0, 7.0, 8.0, 9.0, 10.0);
Arithmetic_Mean : Float := Pythagorean_Means.Arithmetic_Mean (My_Set);
Geometric_Mean  : Float := Pythagorean_Means.Geometric_Mean  (My_Set);
Harmonic_Mean   : Float := Pythagorean_Means.Harmonic_Mean   (My_Set);
begin
Ada.Text_IO.Put_Line (Float'Image (Arithmetic_Mean) & " >= " &
Float'Image (Geometric_Mean)  & " >= " &
Float'Image (Harmonic_Mean));
end Main;


## ALGOL 68

Translation of: C
Works with: ALGOL 68G version Any - tested with release 1.18.0-9h.tiny
main: (
INT count:=0;
LONG REAL f, sum:=0, prod:=1, resum:=0;

FORMAT real = $g(0,4)$; # preferred real format #

FILE fbuf; STRING sbuf; associate(fbuf,sbuf);

BOOL opts := TRUE;

FOR i TO argc DO
IF opts THEN # skip args up to the - token #
opts := argv(i) NE "-"
ELSE
rewind(fbuf); sbuf := argv(i); get(fbuf,f);
count +:= 1;
sum +:= f;
prod *:= f;
resum +:= 1/f
FI
OD;
printf(($"c: "f(real)l"s: "f(real)l"p: "f(real)l"r: "f(real)l$,count,sum,prod,resum));
printf(($"Arithmetic mean = "f(real)l$,sum/count));
printf(($"Geometric mean = "f(real)l$,prod**(1/count)));
printf(($"Harmonic mean = "f(real)l$,count/resum))
)

Lunix command:

a68g Averages_Pythagorean_means.a68 - 1 2 3 4 5 6 7 8 9 10

Output:
c: 10.0000
s: 55.0000
p: 3628800.0000
r: 2.9290
Arithmetic mean = 5.5000
Geometric mean = 4.5287
Harmonic mean = 3.4142


## ALGOL W

begin
% returns the arithmetic mean of the elements of n from lo to hi %
real procedure arithmeticMean ( real array n ( * ); integer value lo, hi ) ;
begin
real sum;
sum := 0;
for i := lo until hi do sum := sum + n( i );
sum / ( 1 + ( hi - lo ) )
end arithmeticMean ;
% returns the geometric mean of the elements of n from lo to hi %
real procedure geometricMean ( real array n ( * ); integer value lo, hi ) ;
begin
real product;
product := 1;
for i := lo until hi do product := product * n( i );
exp( ln( product ) / ( 1 + ( hi - lo ) ) )
end geometricMean ;
% returns the harminic mean of the elements of n from lo to hi %
real procedure harmonicMean ( real array n ( * ); integer value lo, hi ) ;
begin
real sum;
sum := 0;
for i := lo until hi do sum := sum + ( 1 / n( i ) );
( 1 + ( hi - lo ) ) / sum
end harmonicMean ;

real array v ( 1 :: 10 );
for i := 1 until 10 do v( i ) := i;

r_w := 10; r_d := 5; r_format := "A"; s_w := 0; % set output format %

write( "Arithmetic mean: ", arithmeticMean( v, 1, 10 ) );
write( "Geometric  mean: ",  geometricMean( v, 1, 10 ) );
write( "Harmonic   mean: ",   harmonicMean( v, 1, 10 ) )

end.
Output:
Arithmetic mean:    5.50000
Geometric  mean:    4.52872
Harmonic   mean:    3.41417


## Amazing Hopper

#include <hopper.h>

/* An example of definitions in pseudo-natural language, with synonimous.
These definitions can be inside a definition file (xxxx.h) */
#define getasinglelistof(_X_)   {_X_},
#synon  getasinglelistof        getalistof
#define integerrandomnumbers    _V1000_=-1,rand array(_V1000_),mulby(10),ceil,
#define randomnumbers           _V1000_=-1,rand array(_V1000_)
#define rememberitin(_X_)       _X_=0,cpy(_X_)
#synon  rememberitin            rememberthisnumbersin
#define rememberas(_X_)         mov(_X_)
#define remember(_X_)           {_X_}
//#synon  remember            with   ---> this exist in HOPPER.H
#defn   nowconsiderthis(_X_)    #ATOM#CMPLX,print
#synon  nowconsiderthis         nowconsider,considerthis,consider,nowputtext,puttext,andprint
#define andprintwithanewline    {"\n"}print
#synon  andprintwithanewline    printwithanewline
//#defn   andprint(_X_)           #ATOM#CMPLX,print
#define putanewline             {"\n"}
#define withanewline            "\n"
#define andprintit              print
#synon  andprintit              printit,andprint
#define showit                  show
#define afterdoingit            emptystack?,not,do{ {"I cannot continue due to retentive data "},throw(1001) }
#synon  afterdoingit            secondly,finally
#define then                    emptystack?do{ {"I cannot continue because data is missing "},throw(1000) }
/* why "#context" and not "#define"?
becose "#context" need a value in the stack for continue.
Internally, "domeanit" tranform to "gosub(calculatearithmeticmean)",
and "gosub" works only if it finds a data in the stack */
#context  calculatethegeometricmean
#synon    calculatethegeometricmean   calculategeometricmean,getgeometricmean
#context  calculatetheharmonicmean
#synon    calculatetheharmonicmean    calculateharmonicmean,getharmonicmean
#context  calculatearitmethicmean
#synon    calculatearitmethicmean     calculatesinglemean,calculatemean,domeanit

main:
consider this ("Arithmetic Mean: ")
get a list of '10,10' integer random numbers; remember this numbers in 'list of numbers';
then, do mean it, and print with a new line.
after doing it, consider ("Geometric Mean: "), remember 'list of numbers', calculate the geometric mean;
then, put a new line, and print it.
/*
Okay. This can be a bit long, if we have to write the program;
But what if we just had to talk, and the language interpreter takes care of the rest?
*/
secondly, now consider ("Harmonic Mean: "), with 'list of numbers', get harmonic mean, and print with a new line.
finally, put text ("Original Array:\n"), and print (list of numbers, with a new line)
exit(0)
.locals
calculate aritmethic mean:
stats(MEAN)
back
calculate the geometric mean:
stats(GEOMEAN)
back
calculatetheharmonicmean:
stats(HARMEAN)
back
Output:
Arithmetic Mean: 5.51
Geometric Mean: 4.47333
Harmonic Mean: 3.29515
Original Array:
4 3 10 6 10 1 1 10 4 1
7 4 5 8 9 7 3 8 1 10
5 5 2 5 8 9 1 5 10 10
6 4 3 5 9 2 6 9 2 9
10 9 3 4 6 2 1 8 10 1
7 5 5 9 9 3 7 9 7 7
9 2 10 1 7 9 3 2 7 4
1 6 2 4 10 7 5 1 5 5
1 2 9 5 10 7 7 6 6 4
3 4 5 2 4 1 10 6 3 7


Notice:

  The line "stats(GEOMEAN)" is identical to:
stats(MULTIPLICATORY),POW BY({1}div by (100))
and...
#defn reciprocalof(_X_)  {1},#ATOM#CMPLX,postfix,div,postfix
then:
stats(MULTIPLICATORY),POW BY( reciprocal of (100) )
or...
#defn   N-ROOTof(_DATA_,_N_)  #ATOM#CMPLX,{1}div by(_N_),postfix,pow,postfix
#define Multiplicatoryof(_DATA_)   {_DATA_}stats(MULTIPLICATORY)
then:
N-ROOT of ( Multiplicatory of (list of numbers), 100)
etc.


## APL

 arithmetic←{(+/⍵)÷⍴⍵}
geometric←{(×/⍵)*÷⍴⍵}
harmonic←{(⍴⍵)÷(+/÷⍵)}

x←⍳10

arithmetic x
5.5
geometric x
4.528728688
harmonic x
3.414171521


## AppleScript

Translation of: JavaScript
-- arithmetic_mean :: [Number] -> Number
on arithmetic_mean(xs)

-- sum :: Number -> Number -> Number
script sum
on |λ|(accumulator, x)
accumulator + x
end |λ|
end script

foldl(sum, 0, xs) / (length of xs)
end arithmetic_mean

-- geometric_mean :: [Number] -> Number
on geometric_mean(xs)

-- product :: Number -> Number -> Number
script product
on |λ|(accumulator, x)
accumulator * x
end |λ|
end script

foldl(product, 1, xs) ^ (1 / (length of xs))
end geometric_mean

-- harmonic_mean :: [Number] -> Number
on harmonic_mean(xs)

-- addInverse :: Number -> Number -> Number
on |λ|(accumulator, x)
accumulator + (1 / x)
end |λ|
end script

(length of xs) / (foldl(addInverse, 0, xs))
end harmonic_mean

-- TEST -----------------------------------------------------------------------
on run
set {A, G, H} to ap({arithmetic_mean, geometric_mean, harmonic_mean}, ¬
{{1, 2, 3, 4, 5, 6, 7, 8, 9, 10}})

{values:{arithmetic:A, geometric:G, harmonic:H}, inequalities:¬
{|A >= G|:A ≥ G}, |G >= H|:G ≥ H}
end run

-- GENERIC FUNCTIONS ----------------------------------------------------------

-- A list of functions applied to a list of arguments
-- (<*> | ap) :: [(a -> b)] -> [a] -> [b]
on ap(fs, xs)
set {nf, nx} to {length of fs, length of xs}
set acc to {}
repeat with i from 1 to nf
tell mReturn(item i of fs)
repeat with j from 1 to nx
set end of acc to |λ|(contents of (item j of xs))
end repeat
end tell
end repeat
return acc
end ap

-- foldl :: (a -> b -> a) -> a -> [b] -> a
on foldl(f, startValue, xs)
tell mReturn(f)
set v to startValue
set lng to length of xs
repeat with i from 1 to lng
set v to |λ|(v, item i of xs, i, xs)
end repeat
return v
end tell
end foldl

-- map :: (a -> b) -> [a] -> [b]
on map(f, xs)
tell mReturn(f)
set lng to length of xs
set lst to {}
repeat with i from 1 to lng
set end of lst to |λ|(item i of xs, i, xs)
end repeat
return lst
end tell
end map

-- Lift 2nd class handler function into 1st class script wrapper
-- mReturn :: Handler -> Script
on mReturn(f)
if class of f is script then
f
else
script
property |λ| : f
end script
end if
end mReturn

Output:
{values:{arithmetic:5.5, geometric:4.528728688117, harmonic:3.414171521474},
inequalities:{|A >= G|:true}, |G >= H|:true}


## Arturo

arithmeticMean: function [arr]->
average arr

geometricMean: function [arr]->
(product arr) ^ 1//size arr

harmonicMean: function [arr]->
(size arr) // sum map arr 'i [1//i]

print arithmeticMean 1..10
print geometricMean 1..10
print harmonicMean 1..10

Output:
5.5
4.528728688116765
3.414171521474055

## AutoHotkey

A := ArithmeticMean(1, 10)
G := GeometricMean(1, 10)
H := HarmonicMean(1, 10)

If G Between %H% And %A%
Result := "True"
Else
Result := "False"

MsgBox, %A%n%G%n%H%n%Result%

;---------------------------------------------------------------------------
ArithmeticMean(a, b) { ; of integers a through b
;---------------------------------------------------------------------------
n := b - a + 1
Loop, %n%
Sum += (a + A_Index - 1)
Return, Sum / n
}

;---------------------------------------------------------------------------
GeometricMean(a, b) { ; of integers a through b
;---------------------------------------------------------------------------
n := b - a + 1
Prod := 1
Loop, %n%
Prod *= (a + A_Index - 1)
Return, Prod ** (1 / n)
}

;---------------------------------------------------------------------------
HarmonicMean(a, b) { ; of integers a through b
;---------------------------------------------------------------------------
n := b - a + 1
Loop, %n%
Sum += 1 / (a + A_Index - 1)
Return, n / Sum
}


Message box shows:

5.500000
4.528729
3.414172
True


## AWK

#!/usr/bin/awk -f
{
x  = $1; # value of 1st column A += x; G += log(x); H += 1/x; N++; } END { print "Arithmethic mean: ",A/N; print "Geometric mean : ",exp(G/N); print "Harmonic mean : ",N/H; }  ## BBC BASIC The arithmetic and harmonic means use BBC BASIC's built-in array operations; only the geometric mean needs a loop.  DIM a(9) a() = 1, 2, 3, 4, 5, 6, 7, 8, 9, 10 PRINT "Arithmetic mean = " ; FNarithmeticmean(a()) PRINT "Geometric mean = " ; FNgeometricmean(a()) PRINT "Harmonic mean = " ; FNharmonicmean(a()) END DEF FNarithmeticmean(a()) = SUM(a()) / (DIM(a(),1)+1) DEF FNgeometricmean(a()) LOCAL a, I% a = 1 FOR I% = 0 TO DIM(a(),1) a *= a(I%) NEXT = a ^ (1/(DIM(a(),1)+1)) DEF FNharmonicmean(a()) LOCAL b() DIM b(DIM(a(),1)) b() = 1/a() = (DIM(a(),1)+1) / SUM(b())  Output: Arithmetic mean = 5.5 Geometric mean = 4.52872869 Harmonic mean = 3.41417152 ## BQN A ← +´÷≠ G ← ≠√×´ H ← A⌾÷ ⋈⟜(∧´ ¯1⊸↓ ≥ 1⊸↓) (A∾G∾H) 1+↕10  Output: ⟨ ⟨ 5.5 4.528728688116765 3.414171521474055 ⟩ 1 ⟩ ## C #include <stdio.h> #include <stdlib.h> // atoi() #include <math.h> // pow() int main(int argc, char* argv[]) { int i, count=0; double f, sum=0.0, prod=1.0, resum=0.0; for (i=1; i<argc; ++i) { f = atof(argv[i]); count++; sum += f; prod *= f; resum += (1.0/f); } //printf(" c:%d\n s:%f\n p:%f\n r:%f\n",count,sum,prod,resum); printf("Arithmetic mean = %f\n",sum/count); printf("Geometric mean = %f\n",pow(prod,(1.0/count))); printf("Harmonic mean = %f\n",count/resum); return 0; }  ## C# The standard Linq extension method Average provides arithmetic mean. This example adds two more extension methods for the geometric and harmonic means. Works with: C# version 3 using System; using System.Collections.Generic; using System.Diagnostics; using System.Linq; namespace PythMean { static class Program { static void Main(string[] args) { var nums = from n in Enumerable.Range(1, 10) select (double)n; var a = nums.Average(); var g = nums.Gmean(); var h = nums.Hmean(); Console.WriteLine("Arithmetic mean {0}", a); Console.WriteLine("Geometric mean {0}", g); Console.WriteLine("Harmonic mean {0}", h); Debug.Assert(a >= g && g >= h); } // Geometric mean extension method. static double Gmean(this IEnumerable<double> n) { return Math.Pow(n.Aggregate((s, i) => s * i), 1.0 / n.Count()); } // Harmonic mean extension method. static double Hmean(this IEnumerable<double> n) { return n.Count() / n.Sum(i => 1.0 / i); } } }  Output: Arithmetic mean 5.5 Geometric mean 4.52872868811677 Harmonic mean 3.41417152147406 ## C++ #include <vector> #include <iostream> #include <numeric> #include <cmath> #include <algorithm> double toInverse ( int i ) { return 1.0 / i ; } int main( ) { std::vector<int> numbers ; for ( int i = 1 ; i < 11 ; i++ ) numbers.push_back( i ) ; double arithmetic_mean = std::accumulate( numbers.begin( ) , numbers.end( ) , 0 ) / 10.0 ; double geometric_mean = pow( std::accumulate( numbers.begin( ) , numbers.end( ) , 1 , std::multiplies<int>( ) ), 0.1 ) ; std::vector<double> inverses ; inverses.resize( numbers.size( ) ) ; std::transform( numbers.begin( ) , numbers.end( ) , inverses.begin( ) , toInverse ) ; double harmonic_mean = 10 / std::accumulate( inverses.begin( ) , inverses.end( ) , 0.0 ); //initial value of accumulate must be a double! std::cout << "The arithmetic mean is " << arithmetic_mean << " , the geometric mean " << geometric_mean << " and the harmonic mean " << harmonic_mean << " !\n" ; return 0 ; }  Output: The arithmetic mean is 5.5 , the geometric mean 4.52873 and the harmonic mean 3.41417 ! ## Clojure (use '[clojure.contrib.math :only (expt)]) (defn a-mean [coll] (/ (apply + coll) (count coll))) (defn g-mean [coll] (expt (apply * coll) (/ (count coll)))) (defn h-mean [coll] (/ (count coll) (apply + (map / coll)))) (let [numbers (range 1 11) a (a-mean numbers) g (g-mean numbers) h (h-mean numbers)] (println a ">=" g ">=" h) (>= a g h))  ## CoffeeScript a = [ 1..10 ] arithmetic_mean = (a) -> a.reduce(((s, x) -> s + x), 0) / a.length geometic_mean = (a) -> Math.pow(a.reduce(((s, x) -> s * x), 1), (1 / a.length)) harmonic_mean = (a) -> a.length / a.reduce(((s, x) -> s + 1 / x), 0) A = arithmetic_mean a G = geometic_mean a H = harmonic_mean a console.log "A = ", A, " G = ", G, " H = ", H console.log "A >= G : ", A >= G, " G >= H : ", G >= H  Output: A = 5.5 G = 4.528728688116765 H = 3.414171521474055 A >= G : true G >= H : true ## Common Lisp (defun generic-mean (nums reduce-op final-op) (funcall final-op (reduce reduce-op nums))) (defun a-mean (nums) (generic-mean nums #'+ (lambda (x) (/ x (length nums))))) (defun g-mean (nums) (generic-mean nums #'* (lambda (x) (expt x (/ 1 (length nums)))))) (defun h-mean (nums) (generic-mean nums (lambda (x y) (+ x (/ 1 y))) (lambda (x) (/ (length nums) x)))) (let ((numbers (loop for i from 1 to 10 collect i))) (let ((a-mean (a-mean numbers)) (g-mean (g-mean numbers)) (h-mean (h-mean numbers))) (assert (> a-mean g-mean h-mean)) (format t "a-mean ~a~%" a-mean) (format t "g-mean ~a~%" g-mean) (format t "h-mean ~a~%" h-mean)))  ## Craft Basic precision 6 define bxsum = 1, sum = 0, sum1i = 0 define average = 0, geometric = 0, harmonic = 0 for i = 1 to 10 let sum = sum + i let bxsum = bxsum * i let sum1i = sum1i + (1 / i) next i let average = sum / 10 let geometric = bxsum ^ (1 / 10) let harmonic = 10 / sum1i print "arithmetic mean: ", average print "geometric mean: ", geometric print "harmonic mean: ", harmonic if average >= geometric and geometric >= harmonic then print "true" end endif print "false"  Output:  arithmetic mean: 5.500000 geometric mean: 4.528729 harmonic mean: 3.414172 true  ## D The output for the harmonic mean is wrong. import std.stdio, std.algorithm, std.range, std.functional; auto aMean(T)(T data) pure nothrow @nogc { return data.sum / data.length; } auto gMean(T)(T data) pure /*@nogc*/ { return data.reduce!q{a * b} ^^ (1.0 / data.length); } auto hMean(T)(T data) pure /*@nogc*/ { return data.length / data.reduce!q{ 1.0 / a + b }; } void main() { immutable m = [adjoin!(hMean, gMean, aMean)(iota(1.0L, 11.0L))[]]; writefln("%(%.19f %)", m); assert(m.isSorted); }  Output: 0.9891573712076470036 4.5287286881167647619 5.5000000000000000000 ## Delphi program AveragesPythagoreanMeans; {$APPTYPE CONSOLE}

uses Types, Math;

function ArithmeticMean(aArray: TDoubleDynArray): Double;
var
lValue: Double;
begin
Result := 0;
for lValue in aArray do
Result := Result + lValue;
if Result > 0 then
Result := Result / Length(aArray);
end;

function GeometricMean(aArray: TDoubleDynArray): Double;
var
lValue: Double;
begin
Result := 1;
for lValue in aArray do
Result := Result * lValue;
Result := Power(Result, 1 / Length(aArray));
end;

function HarmonicMean(aArray: TDoubleDynArray): Double;
var
lValue: Double;
begin
Result := 0;
for lValue in aArray do
Result := Result + 1 / lValue;
Result := Length(aArray) / Result;
end;

var
lSourceArray: TDoubleDynArray;
AMean, GMean, HMean: Double;
begin
lSourceArray := TDoubleDynArray.Create(1,2,3,4,5,6,7,8,9,10);
AMean := ArithmeticMean(lSourceArray));
GMean := GeometricMean(lSourceArray));
HMean := HarmonicMean(lSourceArray));
if (AMean >= GMean) and (GMean >= HMean) then
Writeln(AMean, " ≥ ", GMean, " ≥ ", HMean)
else
writeln("Error!");
end.


## E

Given that we're defining all three together, it makes sense to express their regularities:

def makeMean(base, include, finish) {
return def mean(numbers) {
var count := 0
var acc := base
for x in numbers {
acc := include(acc, x)
count += 1
}
return finish(acc, count)
}
}

def A := makeMean(0, fn b,x { b+x   }, fn acc,n { acc / n      })
def G := makeMean(1, fn b,x { b*x   }, fn acc,n { acc ** (1/n) })
def H := makeMean(0, fn b,x { b+1/x }, fn acc,n { n / acc      })
? A(1..10)
# value: 5.5

? G(1..10)
# value: 4.528728688116765

? H(1..10)
# value: 3.414171521474055

## EasyLang

Translation of: C
proc mean . v[] a g h .
prod = 1
for v in v[]
sum += v
prod *= v
resum += 1 / v
.
a = sum / len v[]
g = pow prod (1 / len v[])
h = len v[] / resum
.
a[] = [ 1 2 3 4 5 6 7 8 9 10 ]
mean a[] a g h
print a
print g
print h


## EchoLisp

(define (A xs) (// (for/sum ((x xs)) x) (length xs)))

(define (G xs) (expt (for/product ((x xs)) x) (// (length xs))))

(define (H xs) (// (length xs) (for/sum ((x xs)) (// x))))

(define xs (range 1 11))
(and (>= (A xs) (G xs)) (>= (G xs) (H xs)))
→ #t


## Elixir

defmodule Means do
def arithmetic(list) do
Enum.sum(list) / length(list)
end
def geometric(list) do
:math.pow(Enum.reduce(list, &(*/2)), 1 / length(list))
end
def harmonic(list) do
1 / arithmetic(Enum.map(list, &(1 / &1)))
end
end

list = Enum.to_list(1..10)
IO.puts "Arithmetic mean: #{am = Means.arithmetic(list)}"
IO.puts "Geometric mean:  #{gm = Means.geometric(list)}"
IO.puts "Harmonic mean:   #{hm = Means.harmonic(list)}"
IO.puts "(#{am} >= #{gm} >= #{hm}) is #{am >= gm and gm >= hm}"

Output:
Arithmetic mean: 5.5
Geometric mean:  4.528728688116765
Harmonic mean:   3.414171521474055
(5.5 >= 4.528728688116765 >= 3.414171521474055) is true


## Erlang

%% Author: Abhay Jain <abhay_1303@yahoo.co.in>

-module(mean_calculator).
-export([find_mean/0]).

find_mean() ->
%% This is function calling. First argument is the the beginning number
%% and second argument is the initial value of sum for AM & HM and initial value of product for GM.
arithmetic_mean(1, 0),
geometric_mean(1, 1),
harmonic_mean(1, 0).

%% Function to calculate Arithmetic Mean
arithmetic_mean(Number, Sum) when Number > 10 ->
AM = Sum / 10,
io:format("Arithmetic Mean ~p~n", [AM]);
arithmetic_mean(Number, Sum) ->
NewSum = Sum + Number,
arithmetic_mean(Number+1, NewSum).

%% Function to calculate Geometric Mean
geometric_mean(Number, Product) when Number > 10 ->
GM = math:pow(Product, 0.1),
io:format("Geometric Mean ~p~n", [GM]);
geometric_mean(Number, Product) ->
NewProd = Product * Number,
geometric_mean(Number+1, NewProd).

%% Function to calculate Harmonic Mean
harmonic_mean(Number, Sum) when Number > 10 ->
HM = 10 / Sum,
io:format("Harmonic Mean ~p~n", [HM]);
harmonic_mean(Number, Sum) ->
NewSum = Sum + (1/Number),
harmonic_mean(Number+1, NewSum).

Output:
Arithmetic Mean 5.5
Geometric Mean 4.528728688116765
Harmonic Mean 3.414171521474055 

## ERRE

PROGRAM MEANS

DIM A[9]

PROCEDURE ARITHMETIC_MEAN(A[]->M)
LOCAL S,I%
NEL%=UBOUND(A,1)
S=0
FOR I%=0 TO NEL% DO
S+=A[I%]
END FOR
M=S/(NEL%+1)
END PROCEDURE

PROCEDURE GEOMETRIC_MEAN(A[]->M)
LOCAL S,I%
NEL%=UBOUND(A,1)
S=1
FOR I%=0 TO NEL% DO
S*=A[I%]
END FOR
M=S^(1/(NEL%+1))
END PROCEDURE

PROCEDURE HARMONIC_MEAN(A[]->M)
LOCAL S,I%
NEL%=UBOUND(A,1)
S=0
FOR I%=0 TO NEL% DO
S+=1/A[I%]
END FOR
M=(NEL%+1)/S
END PROCEDURE

BEGIN
A[]=(1,2,3,4,5,6,7,8,9,10)
ARITHMETIC_MEAN(A[]->M)
PRINT("Arithmetic mean = ";M)
GEOMETRIC_MEAN(A[]->M)
PRINT("Geometric mean =  ";M)
HARMONIC_MEAN(A[]->M)
PRINT("Harmonic mean =  ";M)
END PROGRAM


## Euler Math Toolbox

>function A(x) := mean(x)
>function G(x) := exp(mean(log(x)))
>function H(x) := 1/mean(1/x)
>x=1:10; A(x), G(x), H(x)
5.5
4.52872868812
3.41417152147

Alternatively, e.g.,

>function G(x) := prod(x)^(1/length(x))

## Euphoria

function arithmetic_mean(sequence s)
atom sum
if length(s) = 0 then
return 0
else
sum = 0
for i = 1 to length(s) do
sum += s[i]
end for
return sum/length(s)
end if
end function

function geometric_mean(sequence s)
atom p
p = 1
for i = 1 to length(s) do
p *= s[i]
end for
return power(p,1/length(s))
end function

function harmonic_mean(sequence s)
atom sum
if length(s) = 0 then
return 0
else
sum = 0
for i = 1 to length(s) do
sum += 1/s[i]
end for
return length(s) / sum
end if
end function

function true_or_false(atom x)
if x then
return "true"
else
return "false"
end if
end function

constant s = {1,2,3,4,5,6,7,8,9,10}
constant arithmetic = arithmetic_mean(s),
geometric = geometric_mean(s),
harmonic = harmonic_mean(s)
printf(1,"Arithmetic: %g\n", arithmetic)
printf(1,"Geometric: %g\n", geometric)
printf(1,"Harmonic: %g\n", harmonic)
printf(1,"Arithmetic>=Geometric>=Harmonic: %s\n",
{true_or_false(arithmetic>=geometric and geometric>=harmonic)})
Output:
Arithmetic: 5.5
Geometric: 4.52873
Harmonic: 3.41417
Arithmetic>=Geometric>=Harmonic: true


## Excel

Use the functions : AVERAGE, GEOMEAN and HARMEAN

=AVERAGE(1;2;3;4;5;6;7;8;9;10)
=GEOMEAN(1;2;3;4;5;6;7;8;9;10)
=HARMEAN(1;2;3;4;5;6;7;8;9;10)
Output:
5.5
4.528728688
3,414171521


## F#

let P = [1.0; 2.0; 3.0; 4.0; 5.0; 6.0; 7.0; 8.0; 9.0; 10.0]

let arithmeticMean (x : float list) =
x |> List.sum
|> (fun acc -> acc / float (List.length(x)))

let geometricMean (x: float list) =
x |> List.reduce (*)
|> (fun acc -> Math.Pow(acc, 1.0 / (float (List.length(x)))))

let harmonicMean (x: float list) =
x |> List.map (fun a -> 1.0 / a)
|> List.sum
|> (fun acc -> float (List.length(x)) / acc)

printfn "Arithmetic Mean: %A" (arithmeticMean P)
printfn "Geometric Mean: %A" (geometricMean P)
printfn "Harmonic Mean: %A" (harmonicMean P)


## Factor

: a-mean ( seq -- mean )
[ sum ] [ length ] bi / ;

: g-mean ( seq -- mean )
[ product ] [ length recip ] bi ^ ;

: h-mean ( seq -- mean )
[ length ] [ [ recip ] map-sum ] bi / ;

( scratchpad ) 10 [1,b] [ a-mean ] [ g-mean ] [ h-mean ] tri
"%f >= %f >= %f\n" printf
5.500000 >= 4.528729 >= 3.414172


## Fantom

class Main
{
static Float arithmeticMean (Int[] nums)
{
if (nums.size == 0) return 0.0f
sum := 0
nums.each |n| { sum += n }
return sum.toFloat / nums.size
}

static Float geometricMean (Int[] nums)
{
if (nums.size == 0) return 0.0f
product := 1
nums.each |n| { product *= n }
return product.toFloat.pow(1f/nums.size)
}

static Float harmonicMean (Int[] nums)
{
if (nums.size == 0) return 0.0f
reciprocals := 0f
nums.each |n| { reciprocals += 1f / n }
return nums.size.toFloat / reciprocals
}

public static Void main ()
{
items := (1..10).toList
// display results
echo (arithmeticMean (items))
echo (geometricMean (items))
echo (harmonicMean (items))
// check given relation
if ((arithmeticMean (items) >= geometricMean (items)) &&
(geometricMean (items) >= harmonicMean (items)))
echo ("relation holds")
else
echo ("relation failed")
}
}

## Forth

: famean ( faddr n -- f )
0e
tuck floats bounds do
i f@ f+
float +loop
0 d>f f/ ;

: fgmean ( faddr n -- f )
1e
tuck floats bounds do
i f@ f*
float +loop
0 d>f 1/f f** ;

: fhmean ( faddr n -- f )
dup 0 d>f  0e
floats bounds do
i f@ 1/f f+
float +loop
f/ ;

create test 1e f, 2e f, 3e f, 4e f, 5e f, 6e f, 7e f, 8e f, 9e f, 10e f,
test 10 famean fdup f.
test 10 fgmean fdup fdup f.
test 10 fhmean fdup f.
( A G G H )
f>= . f>= .  \ -1 -1


## Fortran

Works with: Fortran version 90
program Mean

real :: a(10) = (/ (i, i=1,10) /)
real :: amean, gmean, hmean

amean = sum(a) / size(a)
gmean = product(a)**(1.0/size(a))
hmean = size(a) / sum(1.0/a)

if ((amean < gmean) .or. (gmean < hmean)) then
print*, "Error!"
else
print*, amean, gmean, hmean
end if

end program Mean


## FreeBASIC

' FB 1.05.0 Win64

Function ArithmeticMean(array() As Double) As Double
Dim length As Integer = Ubound(array) - Lbound(array) + 1
Dim As Double sum = 0.0
For i As Integer = LBound(array) To UBound(array)
sum += array(i)
Next
Return sum/length
End Function

Function GeometricMean(array() As Double) As Double
Dim length As Integer = Ubound(array) - Lbound(array) + 1
Dim As Double product = 1.0
For i As Integer = LBound(array) To UBound(array)
product *= array(i)
Next
Return product ^ (1.0 / length)
End Function

Function HarmonicMean(array() As Double) As Double
Dim length As Integer = Ubound(array) - Lbound(array) + 1
Dim As Double sum = 0.0
For i As Integer = LBound(array) To UBound(array)
sum += 1.0 / array(i)
Next
Return length / sum
End Function

Dim vector(1 To 10) As Double
For i As Integer = 1 To 10
vector(i) = i
Next

Print "Arithmetic mean is :"; ArithmeticMean(vector())
Print "Geometric mean is  :"; GeometricMean(vector())
Print "Harmonic mean is   :"; HarmonicMean(vector())
Print
Print "Press any key to quit the program"
Sleep

Output:
Arithmetic mean is : 5.5
Geometric mean is  : 4.528728688116765
Harmonic mean is   : 3.414171521474055


## FunL

import lists.zip

def
mean( s, 0 ) = product( s )^(1/s.length())
mean( s, p ) = (1/s.length() sum( x^p | x <- s ))^(1/p)

def
monotone( [_], _ ) = true
monotone( a1:a2:as, p ) = p( a1, a2 ) and monotone( a2:as, p )

means = [mean( 1..10, m ) | m <- [1, 0, -1]]

for (m, l) <- zip( means, ['Arithmetic', 'Geometric', 'Harmonic'] )
println( "$l:$m" + (if m is Rational then " or ${m.doubleValue()}" else '') ) println( monotone(means, (>=)) ) Output: Arithmetic: 11/2 or 5.5 Geometric: 4.528728688116765 Harmonic: 25200/7381 or 3.414171521474055 true  ## Futhark fun arithmetic_mean(as: [n]f64): f64 = reduce (+) 0.0 (map (/f64(n)) as) fun geometric_mean(as: [n]f64): f64 = reduce (*) 1.0 (map (**(1.0/f64(n))) as) fun harmonic_mean(as: [n]f64): f64 = f64(n) / reduce (+) 0.0 (map (1.0/) as) fun main(as: [n]f64): (f64,f64,f64) = (arithmetic_mean as, geometric_mean as, harmonic_mean as)  ## FutureBasic Double ari = 1, geo = 0, har = 0 Short i, n = 10 for i = 1 to n ari += i geo *= i har += 1 \ i next print "ari:", ari \ n print "geo:", geo^( 1 \ n ) print "har:", n \ har handleevents  ari: 5.5 geo: 4.528728688116765 har: 3.414171521474055  ## GAP # The first two work with rationals or with floats # (but bear in mind that support of floating point is very poor in GAP) mean := v -> Sum(v) / Length(v); harmean := v -> Length(v) / Sum(v, Inverse); geomean := v -> EXP_FLOAT(Sum(v, LOG_FLOAT) / Length(v)); mean([1 .. 10]); # 11/2 harmean([1 .. 10]); # 25200/7381 v := List([1..10], FLOAT_INT);; mean(v); # 5.5 harmean(v); # 3.41417 geomean(v); # 4.52873  ## Go package main import ( "fmt" "math" ) func main() { sum, sumr, prod := 0., 0., 1. for n := 1.; n <= 10; n++ { sum += n sumr += 1 / n prod *= n } a, g, h := sum/10, math.Pow(prod, .1), 10/sumr fmt.Println("A:", a, "G:", g, "H:", h) fmt.Println("A >= G >= H:", a >= g && g >= h) }  Output: A: 5.5 G: 4.528728688116765 H: 3.414171521474055 A >= G >= H: true  ## Groovy Solution: def arithMean = { list -> list == null \ ? null \ : list.empty \ ? 0 \ : list.sum() / list.size() } def geomMean = { list -> list == null \ ? null \ : list.empty \ ? 1 \ : list.inject(1) { prod, item -> prod*item } ** (1 / list.size()) } def harmMean = { list -> list == null \ ? null \ : list.empty \ ? 0 \ : list.size() / list.collect { 1.0/it }.sum() }  Test: def list = 1..10 def A = arithMean(list) def G = geomMean(list) assert A >= G def H = harmMean(list) assert G >= H println """ list:${list}
A: ${A} G:${G}
(show . and) $zipWith (>=) xs (tail xs) ]  Output: ("Arithmetic",5.5)("Geometric",4.528728688116765)("Harmonic",3.414171521474055) a >= g >= h is True ## HicEst AGH = ALIAS( A, G, H ) ! named vector elements AGH = (0, 1, 0) DO i = 1, 10 A = A + i G = G * i H = H + 1/i ENDDO AGH = (A/10, G^0.1, 10/H) WRITE(ClipBoard, Name) AGH, "Result = " // (A>=G) * (G>=H) ! A=5.5; G=4.528728688; H=3.414171521; Result = 1; ## Icon and Unicon link numbers # for a/g/h means procedure main() every put(x := [], 1 to 10) writes("x := [ "); every writes(!x," "); write("]") write("Arithmetic mean:", a := amean!x) write("Geometric mean:",g := gmean!x) write("Harmonic mean:", h := hmean!x) write(" a >= g >= h is ", if a >= g >= h then "true" else "false") end  numbers:amean, numbers:gmean, and numbers:hmean are shown below: procedure amean(L[]) #: arithmetic mean local m if *L = 0 then fail m := 0.0 every m +:= !L return m / *L end procedure gmean(L[]) #: geometric mean local m if *L = 0 then fail m := 1.0 every m *:= !L m := abs(m) if m > 0.0 then return exp (log(m) / *L) else fail end procedure hmean(L[]) #: harmonic mean local m, r if *L = 0 then fail m := 0.0 every r := !L do { if r = 0.0 then fail else m +:= 1.0 / r } return *L / m end  Output: #means.exe x := [ 1 2 3 4 5 6 7 8 9 10 ] Arithmetic mean:5.5 Geometric mean:4.528728688116765 Harmonic mean:3.414171521474055 a >= g >= h is true ## IS-BASIC 100 PROGRAM "Averages.bas" 110 NUMERIC ARR(1 TO 10) 120 FOR I=LBOUND(ARR) TO UBOUND(ARR) 130 LET ARR(I)=I 140 NEXT 150 PRINT "Arithmetic mean =";ARITHM(ARR) 160 PRINT "Geometric mean =";GEOMETRIC(ARR) 170 PRINT "Harmonic mean =";HARMONIC(ARR) 180 DEF ARITHM(REF A) 190 LET T=0 200 FOR I=LBOUND(A) TO UBOUND(A) 210 LET T=T+A(I) 220 NEXT 230 LET ARITHM=T/SIZE(A) 240 END DEF 250 DEF GEOMETRIC(REF A) 260 LET T=1 270 FOR I=LBOUND(A) TO UBOUND(A) 280 LET T=T*A(I) 290 NEXT 300 LET GEOMETRIC=T^(1/SIZE(A)) 310 END DEF 320 DEF HARMONIC(REF A) 330 LET T=0 340 FOR I=LBOUND(A) TO UBOUND(A) 350 LET T=T+(1/A(I)) 360 NEXT 370 LET HARMONIC=SIZE(A)/T 380 END DEF ## J Solution: amean=: +/ % # gmean=: # %: */ hmean=: amean&.:%  Example Usage:  (amean , gmean , hmean) >: i. 10 5.5 4.528729 3.414172 assert 2 >:/\ (amean , gmean , hmean) >: i. 10 NB. check amean >= gmean and gmean >= hmean  Note that gmean could have instead been defined as mean under logarithm, for example: gmean=:amean&.:^.  (and this variant should probably be preferred - especially if the argument list is long, to avoid problems with floating point infinity.) ## Java import java.util.Arrays; import java.util.List; public class PythagoreanMeans { public static double arithmeticMean(List<Double> numbers) { if (numbers.isEmpty()) return Double.NaN; double mean = 0.0; for (Double number : numbers) { mean += number; } return mean / numbers.size(); } public static double geometricMean(List<Double> numbers) { if (numbers.isEmpty()) return Double.NaN; double mean = 1.0; for (Double number : numbers) { mean *= number; } return Math.pow(mean, 1.0 / numbers.size()); } public static double harmonicMean(List<Double> numbers) { if (numbers.isEmpty() || numbers.contains(0.0)) return Double.NaN; double mean = 0.0; for (Double number : numbers) { mean += (1.0 / number); } return numbers.size() / mean; } public static void main(String[] args) { Double[] array = {1.0, 2.0, 3.0, 4.0, 5.0, 6.0, 7.0, 8.0, 9.0, 10.0}; List<Double> list = Arrays.asList(array); double arithmetic = arithmeticMean(list); double geometric = geometricMean(list); double harmonic = harmonicMean(list); System.out.format("A = %f G = %f H = %f%n", arithmetic, geometric, harmonic); System.out.format("A >= G is %b, G >= H is %b%n", (arithmetic >= geometric), (geometric >= harmonic)); } }  Output: A = 5.500000 G = 4.528729 H = 3.414172 A >= G is true, G >= H is true Works with: Java version 1.8 We can rewrite the 3 methods using the new JAVA Stream API:  public static double arithmAverage(double array[]){ if (array == null ||array.length == 0) { return 0.0; } else { return DoubleStream.of(array).average().getAsDouble(); } } public static double geomAverage(double array[]){ if (array == null ||array.length == 0) { return 0.0; } else { double aver = DoubleStream.of(array).reduce(1, (x, y) -> x * y); return Math.pow(aver, 1.0 / array.length); } } public static double harmAverage(double array[]){ if (array == null ||array.length == 0) { return 0.0; } else { double aver = DoubleStream.of(array) // remove null values .filter(n -> n > 0.0) // generate 1/n array .map( n-> 1.0/n) // accumulating .reduce(0, (x, y) -> x + y); // just this reduce is not working- need to do in 2 steps // .reduce(0, (x, y) -> 1.0/x + 1.0/y); return array.length / aver ; } }  ## JavaScript ### ES5 (function () { 'use strict'; // arithmetic_mean :: [Number] -> Number function arithmetic_mean(ns) { return ( ns.reduce( // sum function (sum, n) { return (sum + n); }, 0 ) / ns.length ); } // geometric_mean :: [Number] -> Number function geometric_mean(ns) { return Math.pow( ns.reduce( // product function (product, n) { return (product * n); }, 1 ), 1 / ns.length ); } // harmonic_mean :: [Number] -> Number function harmonic_mean(ns) { return ( ns.length / ns.reduce( // sum of inverses function (invSum, n) { return (invSum + (1 / n)); }, 0 ) ); } var values = [arithmetic_mean, geometric_mean, harmonic_mean] .map(function (f) { return f([1, 2, 3, 4, 5, 6, 7, 8, 9, 10]); }), mean = { Arithmetic: values[0], // arithmetic Geometric: values[1], // geometric Harmonic: values[2] // harmonic } return JSON.stringify({ values: mean, test: "is A >= G >= H ? " + ( mean.Arithmetic >= mean.Geometric && mean.Geometric >= mean.Harmonic ? "yes" : "no" ) }, null, 2); })();  Output: { "values": { "Arithmetic": 5.5, "Geometric": 4.528728688116765, "Harmonic": 3.414171521474055 }, "test": "is A >= G >= H ? yes" }  ### ES6 (() => { // arithmeticMean :: [Number] -> Number const arithmeticMean = xs => foldl((sum, n) => sum + n, 0, xs) / length(xs); // geometricMean :: [Number] -> Number const geometricMean = xs => raise(foldl((product, x) => product * x, 1, xs), 1 / length(xs)); // harmonicMean :: [Number] -> Number const harmonicMean = xs => length(xs) / foldl((invSum, n) => invSum + (1 / n), 0, xs); // GENERIC FUNCTIONS ------------------------------------------------------ // A list of functions applied to a list of arguments // <*> :: [(a -> b)] -> [a] -> [b] const ap = (fs, xs) => // [].concat.apply([], fs.map(f => // [].concat.apply([], xs.map(x => [f(x)])))); // foldl :: (b -> a -> b) -> b -> [a] -> b const foldl = (f, a, xs) => xs.reduce(f, a); // length :: [a] -> Int const length = xs => xs.length; // mapFromList :: [(k, v)] -> Dictionary const mapFromList = kvs => foldl((a, [k, v]) => (a[(typeof k === 'string' && k) || show(k)] = v, a), {}, kvs); // raise :: Num -> Int -> Num const raise = (n, e) => Math.pow(n, e); // show :: a -> String // show :: a -> Int -> String const show = (...x) => JSON.stringify.apply( null, x.length > 1 ? [x[0], null, x[1]] : x ); // zip :: [a] -> [b] -> [(a,b)] const zip = (xs, ys) => xs.slice(0, Math.min(xs.length, ys.length)) .map((x, i) => [x, ys[i]]); // TEST ------------------------------------------------------------------- // mean :: Dictionary const mean = mapFromList(zip( ['Arithmetic', 'Geometric', 'Harmonic'], ap([arithmeticMean, geometricMean, harmonicMean], [ [1, 2, 3, 4, 5, 6, 7, 8, 9, 10] ]) )); return show({ values: mean, test: is A >= G >= H ?${mean.Arithmetic >= mean.Geometric &&
mean.Geometric >= mean.Harmonic ? "yes" : "no"}
}, 2);
})();

Output:
{
"values": {
"Arithmetic": 5.5,
"Geometric": 4.528728688116765,
"Harmonic": 3.414171521474055
},
"test": "is A >= G >= H ? yes"
}


## jq

def amean: add/length;

def gmean:  (logProduct / length) | exp;

def hmean: length / (map(1/.) | add);

[range(1;11) ] | [amean, gmean, hmean] as $ans | ($ans[],
"amean > gmean > hmean => \($ans[0] >$ans[1] and $ans[1] >$ans[2] )" )
Output:
5.5
4.528728688116766
3.414171521474055
"amean > gmean > hmean => true"

## Julia

Julia has a mean function to compute the arithmetic mean of a collections of numbers. We can redefine it as follows.

amean(A) = sum(A)/length(A)

gmean(A) = prod(A)^(1/length(A))

hmean(A) = length(A)/sum(1./A)

Output:
julia> map(f-> f(1:10), [amean, gmean, hmean])
3-element Array{Float64,1}:
5.5
4.52873
3.41417
julia> ans[1] > ans[2] > ans[3]
true

## K

  am:{(+/x)%#x}
gm:{(*/x)^(%#x)}
hm:{(#x)%+/%:'x}

{(am x;gm x;hm x)} 1+!10
5.5 4.528729 3.414172


## Kotlin

import kotlin.math.round
import kotlin.math.pow

fun Collection<Double>.geometricMean() =
if (isEmpty()) Double.NaN
else (reduce { n1, n2 -> n1 * n2 }).pow(1.0 / size)

fun Collection<Double>.harmonicMean() =
if (isEmpty() || contains(0.0)) Double.NaN
else size / fold(0.0) { n1, n2 -> n1 + 1.0 / n2 }

fun Double.toFixed(len: Int = 6) =
round(this * 10.0.pow(len)) / 10.0.pow(len)

fun main() {
val list = listOf(1.0, 2.0, 3.0, 4.0, 5.0, 6.0, 7.0, 8.0, 9.0, 10.0)
val a = list.average()  // arithmetic mean
val g = list.geometricMean()
val h = list.harmonicMean()
println("A = $a G =${g.toFixed()}  H = ${h.toFixed()}") println("A >= G is${a >= g}, G >= H is ${g >= h}") require(g in h..a) }  Output: A = 5.500000 G = 4.528729 H = 3.414172 A >= G is true, G >= H is true ## Lasso define arithmetic_mean(a::staticarray)::decimal => { //sum of the list divided by its length return (with e in #a sum #e) / decimal(#a->size) } define geometric_mean(a::staticarray)::decimal => { // The geometric mean is the nth root of the product of the list local(prod = 1) with e in #a do => { #prod *= #e } return math_pow(#prod,1/decimal(#a->size)) } define harmonic_mean(a::staticarray)::decimal => { // The harmonic mean is n divided by the sum of the reciprocal of each item in the list return decimal(#a->size)/(with e in #a sum 1/decimal(#e)) } arithmetic_mean(generateSeries(1,10)->asStaticArray) geometric_mean(generateSeries(1,10)->asStaticArray) harmonic_mean(generateSeries(1,10)->asStaticArray)  Output: 5.500000 4.528729 3.414172 ## Liberty BASIC for i = 1 to 10 a = a + i next ArithmeticMean = a/10 b = 1 for i = 1 to 10 b = b * i next GeometricMean = b ^ (1/10) for i = 1 to 10 c = c + (1/i) next HarmonicMean = 10/c print "ArithmeticMean: ";ArithmeticMean print "Geometric Mean: ";GeometricMean print "Harmonic Mean: ";HarmonicMean if (ArithmeticMean>=GeometricMean) and (GeometricMean>=HarmonicMean) then print "True" else print "False" end if ## Logo to compute_means :count local "sum make "sum 0 local "product make "product 1 local "reciprocal_sum make "reciprocal_sum 0 repeat :count [ make "sum sum :sum repcount make "product product :product repcount make "reciprocal_sum sum :reciprocal_sum (quotient repcount) ] output (sentence (quotient :sum :count) (power :product (quotient :count)) (quotient :count :reciprocal_sum)) end make "means compute_means 10 print sentence [Arithmetic mean is] item 1 :means print sentence [Geometric mean is] item 2 :means print sentence [Harmonic mean is] item 3 :means bye ## Lua function fsum(f, a, ...) return a and f(a) + fsum(f, ...) or 0 end function pymean(t, f, finv) return finv(fsum(f, unpack(t)) / #t) end nums = {1, 2, 3, 4, 5, 6, 7, 8, 9, 10} --arithmetic a = pymean(nums, function(n) return n end, function(n) return n end) --geometric g = pymean(nums, math.log, math.exp) --harmonic h = pymean(nums, function(n) return 1/n end, function(n) return 1/n end) print(a, g, h) assert(a >= g and g >= h)  ## M2000 Interpreter Dimension(m,0) is the base (lower bound) for each dimension in an array, and can be 0 or 1. Len(a) or len(M()) return length of a pointer to array and an array, as number of array elements. For one dimension arrays len() is equal to Dimension(m(),1) where 1 is the first dimension Dim A(10,10) : Print Len(A())=100 Module CheckIt { sum=lambda -> { Read m as array if len(m)=0 then =0 : exit sum=Array(m, Dimension(m,0)) If len(m)=1 then =sum : exit k=each(m,2,-1) While k { sum+=Array(k) } =sum } mean=lambda sum (a as array) ->{ =sum(a)/len(a) } prod=lambda -> { m=array if len(m)=0 then =0 : exit prod=Array(m, Dimension(m,0)) If len(m)=1 then =prod : exit k=each(m,2,-1) While k { prod*=Array(k) } =prod } geomean=lambda prod (a as array) -> { =prod(a)^(1/len(a)) } harmomean=lambda (a as array) -> { if len(a)=0 then =0 : exit sum=1/Array(a, Dimension(a,0)) If len(a)=1 then =1/sum : exit k=each(a,2,-1) While k { sum+=1/Array(k) } =len(a)/sum } Print sum((1,2,3,4,5))=15 Print prod((1,2,3,4,5))=120 Print mean((1,2,3,4,5))==3 \\ use == to apply rounding before comparison Print geomean((1,2,3,4,5))==2.60517108469735 Print harmomean((1,2,3,4,5))==2.18978102189784 Generator =lambda x=1 ->{=x : x++} dim a(10)<<Generator() Print mean(a())==5.5 Print geomean(a())==4.52872868811677 Print harmomean(a())==3.41417152147412 } CheckIt ## Maple x := [ seq( 1 .. 10 ) ]; Means := proc( x ) uses Statistics; return Mean( x ), GeometricMean( x ), HarmonicMean( x ); end proc: Arithmeticmean, Geometricmean, Harmonicmean := Means( x ); is( Arithmeticmean >= Geometricmean and Geometricmean >= Harmonicmean ); Output: Arithmeticmean, Geometricmean, Harmonicmean := 5.50000000000000, 4.52872868811677, 3.41417152147406 true  ## Mathematica / Wolfram Language Print["{Arithmetic Mean, Geometric Mean, Harmonic Mean} = ", N@Through[{Mean, GeometricMean, HarmonicMean}[Range@10]]]  Output: {Arithmetic Mean, Geometric Mean, Harmonic Mean} = {5.5,4.52873,3.41417} ## MATLAB function [A,G,H] = pythagoreanMeans(list) A = mean(list); G = geomean(list); H = harmmean(list); end  A solution that works for both, Matlab and Octave, is this function [A,G,H] = pythagoreanMeans(list) A = mean(list); % arithmetic mean G = exp(mean(log(list))); % geometric mean H = 1./mean(1./list); % harmonic mean end  Solution: >> [A,G,H]=pythagoreanMeans((1:10)) A = 5.500000000000000 G = 4.528728688116765 H = 3.414171521474055  ## Maxima /* built-in */ L: makelist(i, i, 1, 10)$

mean(L), numer;            /* 5.5 */
geometric_mean(L), numer;  /* 4.528728688116765 */
harmonic_mean(L), numer;   /* 3.414171521474055 */


## min

'avg ^A
(dup product 1 rolldown size / pow) ^G
('size keep (1 swap /) (+) map-reduce /) ^H

(((1 10)) range (((A) (G) (H))) cleave) => (puts!) foreach
Output:
5.5
4.528728688116765
3.414171521474055

## Modula-2

MODULE PythagoreanMeans;
FROM FormatString IMPORT FormatString;
FROM LongMath IMPORT power;
FROM LongStr IMPORT RealToStr;

PROCEDURE ArithmeticMean(numbers : ARRAY OF LONGREAL) : LONGREAL;
VAR
i,cnt : CARDINAL;
mean : LONGREAL;
BEGIN
mean := 0.0;
cnt := 0;
FOR i:=0 TO HIGH(numbers) DO
mean := mean + numbers[i];
INC(cnt);
END;
RETURN mean / LFLOAT(cnt)
END ArithmeticMean;

PROCEDURE GeometricMean(numbers : ARRAY OF LONGREAL) : LONGREAL;
VAR
i,cnt : CARDINAL;
mean : LONGREAL;
BEGIN
mean := 1.0;
cnt := 0;
FOR i:=0 TO HIGH(numbers) DO
mean := mean * numbers[i];
INC(cnt);
END;
RETURN power(mean, 1.0 / LFLOAT(cnt))
END GeometricMean;

PROCEDURE HarmonicMean(numbers : ARRAY OF LONGREAL) : LONGREAL;
VAR
i,cnt : CARDINAL;
mean : LONGREAL;
BEGIN
mean := 0.0;
cnt := 0;
FOR i:=0 TO HIGH(numbers) DO
mean := mean + ( 1.0 / numbers[i]);
INC(cnt);
END;
RETURN LFLOAT(cnt) / mean
END HarmonicMean;

CONST Size = 10;
TYPE DA = ARRAY[1..Size] OF LONGREAL;

VAR
buf : ARRAY[0..63] OF CHAR;
array : DA;
arithmetic,geometric,harmonic : LONGREAL;
BEGIN
array := DA{1.0, 2.0, 3.0, 4.0, 5.0, 6.0, 7.0, 8.0, 9.0, 10.0};

arithmetic := ArithmeticMean(array);
geometric := GeometricMean(array);
harmonic := HarmonicMean(array);

WriteString("A = ");
RealToStr(arithmetic, buf);
WriteString(buf);
WriteString(" G = ");
RealToStr(geometric, buf);
WriteString(buf);
WriteString(" H = ");
RealToStr(harmonic, buf);
WriteString(buf);
WriteLn;

FormatString("A >= G is %b, G >= H is %b\n", buf, arithmetic >= geometric, geometric >= harmonic);
WriteString(buf);

END PythagoreanMeans.


## MUMPS

Pyth(n)	New a,ii,g,h,x
For ii=1:1:n set x(ii)=ii
;
; Average
Set a=0 For ii=1:1:n Set a=a+x(ii)
Set a=a/n
;
; Geometric
Set g=1 For ii=1:1:n Set g=g*x(ii)
Set g=g**(1/n)
;
; Harmonic
Set h=0 For ii=1:1:n Set h=1/x(ii)+h
Set h=n/h
;
Write !,"Pythagorean means for 1..",n,":",!
Write "Average = ",a," >= Geometric ",g," >= harmonic ",h,!
Quit
Do Pyth(10)

Pythagorean means for 1..10:
Average = 5.5 >= Geometric 4.528728688116178495 >= harmonic 3.414171521474055006

## NetRexx

Translation of: ooRexx
/* NetRexx */
options replace format comments java crossref symbols nobinary

numeric digits 20

a1 = ArrayList(Arrays.asList([Rexx 1.0, 2.0, 3.0, 4.0, 5.0, 6.0, 7.0, 8.0, 9.0, 10.0]))
say "Arithmetic =" arithmeticMean(a1)", Geometric =" geometricMean(a1)", Harmonic =" harmonicMean(a1)

return

-- ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
method arithmeticMean(numbers = java.util.List) public static returns Rexx
-- somewhat arbitrary return for ooRexx
if numbers.isEmpty then return "NaN"

mean = 0
number = Rexx
loop number over numbers
mean = mean + number
end
return mean / numbers.size

-- ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
method geometricMean(numbers = java.util.List) public static returns Rexx
-- somewhat arbitrary return for ooRexx
if numbers.isEmpty then return "NaN"

mean = 1
number = Rexx
loop number over numbers
mean = mean * number
end
return Math.pow(mean, 1 / numbers.size)

-- ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
method harmonicMean(numbers = java.util.List) public static returns Rexx
-- somewhat arbitrary return for ooRexx
if numbers.isEmpty then return "NaN"

mean = 0
number = Rexx
loop number over numbers
if number = 0 then return "Nan"
mean = mean + (1 / number)
end

-- problem here...
return numbers.size / mean

Output:
Arithmetic = 5.5, Geometric = 4.528728688116765, Harmonic = 3.4141715214740550062


## Nim

import math, sequtils, sugar

proc amean(num: seq[float]): float =
sum(num) / float(len(num))

proc gmean(num: seq[float]): float =
result = 1
for n in num: result *= n
result = pow(result, 1.0 / float(num.len))

proc hmean(num: seq[float]): float =
for n in num: result += 1.0 / n
result = float(num.len) / result

proc ameanFunctional(num: seq[float]): float =
sum(num) / float(num.len)

proc gmeanFunctional(num: seq[float]): float =
num.foldl(a * b).pow(1.0 / float(num.len))

proc hmeanFunctional(num: seq[float]): float =
float(num.len) / sum(num.mapIt(1.0 / it))

let numbers = toSeq(1..10).map((x: int) => float(x))
echo amean(numbers), " ", gmean(numbers), " ", hmean(numbers)

Output:
5.5 4.528728688116765 3.414171521474055

## Nu

Works with: Nushell version 0.97.1
let means = {
A: { math avg }
G: { ($in | math product) ** (1 / ($in | length)) }
H: { each { 1 / $in } | math avg | 1 /$in }
}

let $set = seq 1 10$means | items {|i f| {index: $i mean: ($set | do $f)} } Output: ╭───┬──────╮ │ # │ mean │ ├───┼──────┤ │ A │ 5.50 │ │ G │ 4.53 │ │ H │ 3.41 │ ╰───┴──────╯  ## Oberon-2 Oxford Oberon-2 MODULE PythMean; IMPORT Out, ML := MathL; PROCEDURE Triplets(a: ARRAY OF INTEGER;VAR triplet: ARRAY OF LONGREAL); VAR i: INTEGER; BEGIN triplet[0] := 0.0;triplet[1] := 0.0; triplet[2] := 0.0; FOR i:= 0 TO LEN(a) - 1 DO triplet[0] := triplet[0] + a[i]; triplet[1] := triplet[1] + ML.Ln(a[i]); triplet[2] := triplet[2] + (1 / a[i]) END END Triplets; PROCEDURE Means*(a: ARRAY OF INTEGER); VAR triplet: ARRAY 3 OF LONGREAL; BEGIN Triplets(a,triplet); Out.String("A(1 .. 10): ");Out.LongReal(triplet[0] / LEN(a));Out.Ln; Out.String("G(1 .. 10): ");Out.LongReal(ML.Exp(triplet[1]/ LEN(a)));Out.Ln; Out.String("H(1 .. 10): ");Out.LongReal(LEN(a) / triplet[2]);Out.Ln; END Means; VAR nums: ARRAY 10 OF INTEGER; i: INTEGER; BEGIN FOR i := 0 TO LEN(nums) - 1 DO nums[i] := i + 1 END; Means(nums) END PythMean.  Output: A(1 .. 10): 5.50000000000 G(1 .. 10): 4.52872868812 H(1 .. 10): 3.41417152147  ## Objeck Translation of: Java class PythagMeans { function : Main(args : String[]) ~ Nil { array := [1.0, 2.0, 3.0, 4.0, 5.0, 6.0, 7.0, 8.0, 9.0, 10.0]; arithmetic := ArithmeticMean(array); geometric := GeometricMean(array); harmonic := HarmonicMean(array); arith_geo := arithmetic >= geometric; geo_harm := geometric >= harmonic; "A = {$arithmetic}, G = {$geometric}, H = {$harmonic}"->PrintLine();
"A >= G is {$arith_geo}, G >= H is {$geo_harm}"->PrintLine();
}

function : native : ArithmeticMean(numbers : Float[]) ~ Float {
if(numbers->Size() = 0) { return -1.0; };

mean := 0.0;
each(i : numbers) {
mean += numbers[i];
};

return mean / numbers->Size();
}

function : native : GeometricMean(numbers : Float[]) ~ Float {
if(numbers->Size() = 0) { return -1.0; };

mean := 1.0;
each(i : numbers) {
mean *= numbers[i];
};

return mean->Power(1.0 / numbers->Size());
}

function : native : HarmonicMean(numbers : Float[]) ~ Float {
if(numbers->Size() = 0) { return -1.0; };

mean := 0.0;
each(i : numbers) {
mean += (1.0 / numbers[i]);
};

return numbers->Size() / mean;
}
}

Output:

A = 5.500, G = 4.529, H = 3.414
A >= G is true, G >= H is true


## OCaml

The three means in one function

let means v =
let n = Array.length v
and a = ref 0.0
and b = ref 1.0
and c = ref 0.0 in
for i=0 to n-1 do
a := !a +. v.(i);
b := !b *. v.(i);
c := !c +. 1.0/.v.(i);
done;
let nn = float_of_int n in
(!a /. nn, !b ** (1.0/.nn), nn /. !c)
;;

Output:
means (Array.init 10 (function i -> (float_of_int (i+1)))) ;;
(* (5.5, 4.5287286881167654, 3.4141715214740551) *)

Another implementation using Array.fold_left instead of a for loop:

let means v =
let (a, b, c) =
Array.fold_left
(fun (a, b, c) x -> (a+.x, b*.x, c+.1./.x))
(0.,1.,0.) v
in
let n = float_of_int (Array.length v) in
(a /. n, b ** (1./.n), n /. c)
;;


## Octave

    A = mean(list);     % arithmetic mean
G = mean(list,'g'); % geometric mean
H = mean(list,'a'); % harmonic mean


## Oforth

import: mapping

: A ( x )
x sum
x size dup ifZero: [ 2drop null ] else: [ >float / ]
;

: G( x )   #* x reduce  x size inv powf ;

: H( x )   x size x map( #inv ) sum / ;

: averages
| g |
"Geometric mean  :" . 10 seq G dup .cr ->g
"Arithmetic mean :" . 10 seq A dup . g >= ifTrue: [ " ==> A >= G" .cr ]
"Harmonic mean   :" . 10 seq H dup . g <= ifTrue: [ " ==> G >= H" .cr ]
;
Output:
Geometric mean  : 4.52872868811677
Arithmetic mean : 5.5 ==> A >= G
Harmonic mean   : 3.41417152147406 ==> G >= H


## ooRexx

a = .array~of(1.0, 2.0, 3.0, 4.0, 5.0, 6.0, 7.0, 8.0, 9.0, 10.0)
say "Arithmetic =" arithmeticMean(a)", Geometric =" geometricMean(a)", Harmonic =" harmonicMean(a)

::routine arithmeticMean
use arg numbers
-- somewhat arbitrary return for ooRexx
if numbers~isEmpty then return "NaN"

mean = 0
loop number over numbers
mean += number
end
return mean / numbers~items

::routine geometricMean
use arg numbers
-- somewhat arbitrary return for ooRexx
if numbers~isEmpty then return "NaN"

mean = 1
loop number over numbers
mean *= number
end

return rxcalcPower(mean, 1 / numbers~items)

::routine harmonicMean
use arg numbers
-- somewhat arbitrary return for ooRexx
if numbers~isEmpty then return "NaN"

mean = 0
loop number over numbers
if number = 0 then return "Nan"
mean += 1 / number
end

-- problem here....
return numbers~items / mean

::requires rxmath LIBRARY

Output:
Arithmetic = 5.5, Geometric = 4.52872869, Harmonic = 3.41417153

## Oz

declare
%% helpers
fun {Sum Xs} {FoldL Xs Number.'+' 0.0} end
fun {Product Xs} {FoldL Xs Number.'*' 1.0} end
fun {Len Xs} {Int.toFloat {Length Xs}} end

fun {AMean Xs}
{Sum Xs}
/
{Len Xs}
end

fun {GMean Xs}
{Pow
{Product Xs}
1.0/{Len Xs}}
end

fun {HMean Xs}
{Len Xs}
/
{Sum {Map Xs fun {$X} 1.0 / X end}} end Numbers = {Map {List.number 1 10 1} Int.toFloat} [A G H] = [{AMean Numbers} {GMean Numbers} {HMean Numbers}] in {Show [A G H]} A >= G = true G >= H = true ## PARI/GP General implementations: arithmetic(v)={ sum(i=1,#v,v[i])/#v }; geometric(v)={ prod(i=1,#v,v[i])^(1/#v) }; harmonic(v)={ #v/sum(i=1,#v,1/v[i]) }; v=vector(10,i,i); [arithmetic(v),geometric(v),harmonic(v)] Specific to the first n positive integers: arithmetic_first(n)={ (n+1)/2 }; geometric_first(n)={ n!^(1/n) }; harmonic_first(n)={ n/if(n>1000, log(n)+Euler+1/(n+n)+1/(12*n^2)-1/(120*n^4)+1/(252*n^6)-1/(240*n^8)+1/(132*n^10) , n/sum(k=1,n,1/k) ) }; [arithmetic_first(10),geometric_first(10),harmonic_first(10)] %[1]>=%[2] && %[2] >= %[3] These are, asymptotically, n/2, n/e, and n/log n. ## Pascal See Delphi ## PascalABC.NET ## function gmean(n: sequence of real) := power(n.aggregate((s, x) -> s * x), 1.0 / n.count); function hmean(n: sequence of real) := n.count / n.sum(x -> 1 / x); var nums := (1..10).Select( x -> real(x)); nums.average.println; gmean(nums).Println; hmean(nums).Println;  Output: 5.5 4.52872868811677 3.41417152147406  ## Perl sub A { my$a = 0;
$a +=$_ for @_;
return $a / @_; } sub G { my$p = 1;
$p *=$_ for @_;
return  $p**(1/@_); # power of 1/n == root of n } sub H { my$h = 0;
$h += 1/$_ for @_;
return @_/$h; } my @ints = (1..10); my$a = A(@ints);
my $g = G(@ints); my$h = H(@ints);

print "A=$a\nG=$g\nH=$h\n"; die "Error" unless$a >= $g and$g >= $h;  ## Phix with javascript_semantics function arithmetic_mean(sequence s) return sum(s)/length(s) end function function geometric_mean(sequence s) return power(product(s),1/length(s)) end function function harmonic_mean(sequence s) return length(s)/sum(sq_div(1,s)) end function constant s = {1,2,3,4,5,6,7,8,9,10} constant arithmetic = arithmetic_mean(s), geometric = geometric_mean(s), harmonic = harmonic_mean(s) printf(1,"Arithmetic: %.10g\n", arithmetic) printf(1,"Geometric: %.10g\n", geometric) printf(1,"Harmonic: %.10g\n", harmonic) printf(1,"Arithmetic>=Geometric>=Harmonic: %t\n", {arithmetic>=geometric and geometric>=harmonic})  Output: Arithmetic: 5.5 Geometric: 4.528728688 Harmonic: 3.414171521 Arithmetic>=Geometric>=Harmonic: true  ## PHP <?php // Created with PHP 7.0 function ArithmeticMean(array$values)
{
return array_sum($values) / count($values);
}

function GeometricMean(array $values) { return array_product($values) ** (1 / count($values)); } function HarmonicMean(array$values)
{
$sum = 0; foreach ($values as $value) {$sum += 1 / $value; } return count($values) / $sum; }$values = array(1, 2, 3, 4, 5, 6, 7, 8, 9, 10);

echo "Arithmetic: " . ArithmeticMean($values) . "\n"; echo "Geometric: " . GeometricMean($values) . "\n";
echo "Harmonic: " . HarmonicMean($values) . "\n";  Output: Arithmetic: 5.5 Geometric: 4.5287286881168 Harmonic: 3.4141715214741  ## PicoLisp (load "@lib/math.l") (let (Lst (1.0 2.0 3.0 4.0 5.0 6.0 7.0 8.0 9.0 10.0) Len (length Lst)) (prinl "Arithmetic mean: " (format (/ (apply + Lst) Len) *Scl ) ) (prinl "Geometric mean: " (format (pow (*/ (apply * Lst) (** 1.0 (dec Len))) (/ 1.0 Len)) *Scl ) ) (prinl "Harmonic mean: " (format (*/ (* 1.0 Len) 1.0 (sum '((N) (*/ 1.0 1.0 N)) Lst)) *Scl ) ) ) Output: Arithmetic mean: 5.500000 Geometric mean: 4.528729 Harmonic mean: 3.414172 ## PL/I declare n fixed binary, (Average, Geometric, Harmonic) float; declare A(10) float static initial (1,2,3,4,5,6,7,8,9,10); n = hbound(A,1); /* compute the average */ Average = sum(A)/n; /* Compute the geometric mean: */ Geometric = prod(A)**(1/n); /* Compute the Harmonic mean: */ Harmonic = n / sum(1/A); put skip data (Average); put skip data (Geometric); put skip data (Harmonic); if Average < Geometric then put skip list ('Error'); if Geometric < Harmonic then put skip list ('Error'); Results: AVERAGE= 5.50000E+0000; GEOMETRIC= 4.52873E+0000; HARMONIC= 3.41417E+0000;  ## PostScript /pythamean{ /x exch def /sum 0 def /prod 1 def /invsum 0 def /i 1 def x{ /sum sum i add def /prod prod i mul def /invsum invsum i -1 exp add def /i i 1 add def }repeat (Arithmetic Mean : ) print sum x div = (Geometric Mean : ) print prod x -1 exp exp = (Harmonic Mean : ) print x invsum div = }def 10 pythamean  Output: Arithmetic Mean : 5.5 Geometric Mean : 4.52873 Harmonic Mean : 3.41417  Library: initlib /numbers {[1 10] 1 range}. /recip {1 exch div}. % Arithmetic mean numbers dup 0 {+} fold exch length div % Geometric mean numbers dup 1 {*} fold exch length recip exp % Harmonic mean numbers dup 0 {recip +} fold exch length exch div  ## PowerShell $A = 0
$LogG = 0$InvH = 0

$ii = 1..10 foreach($i in $ii) { # Arithmetic mean is computed directly$A += $i /$ii.Count
# Geometric mean is computed using Logarithms
$LogG += [Math]::Log($i) / $ii.Count # Harmonic mean is computed using its inverse$InvH += 1 / ($i *$ii.Count)
}

$G = [Math]::Exp($LogG)
$H = 1/$InvH

write-host "Arithmetic mean: A = $A" write-host "Geometric mean: G =$G"
write-host "Harmonic mean:   H = $H" write-host "Is A >= G ?$($A -ge$G)"
write-host "Is G >= H ? $($G -ge $H)"  Output: Arithmetic mean: A = 5.5 Geometric mean: G = 4.52872868811676 Harmonic mean: H = 3.41417152147405 Is A >= G ? True Is G >= H ? True ## Processing void setup() { float[] numbers = {1, 2, 3, 4, 5, 6, 7, 8, 9, 10}; println("Arithmetic mean: " + arithmeticMean(numbers)); println("Geometric mean: " + geometricMean(numbers)); println("Harmonic mean: " + harmonicMean(numbers)); } float arithmeticMean(float[] nums) { float mean = 0; for (float n : nums) { mean += n; } mean = mean / nums.length; return mean; } float geometricMean(float[] nums) { float mean = 1; for (float n : nums) { mean *= n; } mean = pow(mean, 1.0 / nums.length); return mean; } float harmonicMean(float[] nums) { float mean = 0; for (float n : nums) { mean += 1 / n; } mean = nums.length / mean; return mean; } Output: Arithmetic mean: 5.5 Geometric mean: 4.528729 Harmonic mean: 3.4141712 ## PureBasic Procedure.d ArithmeticMean() For a = 1 To 10 mean + a Next ProcedureReturn mean / 10 EndProcedure Procedure.d GeometricMean() mean = 1 For a = 1 To 10 mean * a Next ProcedureReturn Pow(mean, 1 / 10) EndProcedure Procedure.d HarmonicMean() For a = 1 To 10 mean.d + 1 / a Next ProcedureReturn 10 / mean EndProcedure If HarmonicMean() <= GeometricMean() And GeometricMean() <= ArithmeticMean() Debug "true" EndIf Debug ArithmeticMean() Debug GeometricMean() Debug HarmonicMean()  ## Python Works with: Python version 3 from operator import mul from functools import reduce def amean(num): return sum(num) / len(num) def gmean(num): return reduce(mul, num, 1)**(1 / len(num)) def hmean(num): return len(num) / sum(1 / n for n in num) numbers = range(1, 11) # 1..10 a, g, h = amean(numbers), gmean(numbers), hmean(numbers) print(a, g, h) assert a >= g >= h  Output: 5.5 4.52872868812 3.41417152147 These are the same in Python 2 apart from requiring explicit float division (either through float() casts or float literals such as 1./n); or better, do a from __future__ import division, which works on Python 2.2+ as well as Python 3, and makes division work consistently like it does in Python 3. ## Quackery Uses root from Integer roots#Quackery.  [] 10 times [ i^ 1+ join ] say "Arithmetic mean:" sp 0 over witheach + over size 8 point$ echo$cr say " Geometric mean:" sp 1 over witheach * over size 80 ** * 10 root 10 8 ** 8 point$ echo$cr say " Harmonic mean:" sp dup size dip [ 0 n->v rot witheach [ n->v 1/v v+ ] ] n->v 2swap v/ 8 point$ echo$ Output: Arithmetic mean: 5.5 Geometric mean: 4.52872868 Harmonic mean: 3.41417152  ## R Initialise x  x <- 1:10  Arithmetic mean a <- sum(x)/length(x)  or a <- mean(x)  The geometric mean g <- prod(x)^(1/length(x))  The harmonic mean (no error checking that ${\displaystyle x_{i}\neq 0,{\text{ }}\forall {\text{ }}i=1\ldots n}$ ) h <- length(x)/sum(1/x)  Then: a > g  and g > h  give both [1] TRUE ## Racket #lang racket (define (arithmetic xs) (/ (for/sum ([x xs]) x) (length xs))) (define (geometric xs) (expt (for/product ([x xs]) x) (/ (length xs)))) (define (harmonic xs) (/ (length xs) (for/sum ([x xs]) (/ x)))) (define xs (range 1 11)) (arithmetic xs) (geometric xs) (harmonic xs) (>= (arithmetic xs) (geometric xs) (harmonic xs))  Output: 5 1/2 4.528728688116765 3 3057/7381 #t  ## Raku (formerly Perl 6) Works with: Rakudo version 2015.12 sub A { ([+] @_) / @_ } sub G { ([*] @_) ** (1 / @_) } sub H { @_ / [+] 1 X/ @_ } say "A(1,...,10) = ", A(1..10); say "G(1,...,10) = ", G(1..10); say "H(1,...,10) = ", H(1..10);  Output: A(1,...,10) = 5.5 G(1,...,10) = 4.52872868811677 H(1,...,10) = 3.41417152147406 ## REXX REXX doesn't have a POW function, so an IROOT (integer root) function is included here; it includes an extra error check if used as a general purpose function that would otherwise yield a complex result. /*REXX program computes and displays the Pythagorean means [Amean, Gmean, Hmean]. */ numeric digits 20 /*use a little extra for the precision.*/ parse arg n . /*obtain the optional argument from CL.*/ if n=='' | n=="," then n= 10 /*None specified? Then use the default*/ sum= 0; prod= 1; rSum= 0 /*initialize sum/product/reciprocal sum*/$=;                       do #=1  for n;  $=$ # /*generate list by appending # to list.*/
sum = sum   +   #      /*compute the sum of all the elements. */
prod= prod  *   #      /*compute the product of all elements. */
rSum= rSum  + 1/#      /*compute the sum of the reciprocals.  */
end   /*#*/
say ' list ='$/*display the list of numbers used. */ say 'Amean =' sum / n /*calculate & display arithmetic mean.*/ say 'Gmean =' Iroot(prod, n) /* " " " geometric " */ if result=="[n/a]" then say '***error***: root' y "can't be even if 1st argument is < 0." say 'Hmean =' n / rSum /* " " " harmonic " */ exit 0 /*stick a fork in it, we're all done. */ /*──────────────────────────────────────────────────────────────────────────────────────*/ Iroot: procedure; parse arg x 1 ox, y 1 oy /*get both args, and also a copy of X&Y*/ if x=0 | x=1 | y=1 then return x /*handle special case of zero and unity*/ if y=0 then return 1 /* " " " " a zero root.*/ if x<0 & y//2==0 then return '[n/a]' /*indicate result is "not applicable". */ x= abs(x); y= abs(y); m= y - 1 /*use the absolute value for X and Y. */ oDigs= digits(); a= oDigs + 5 /*save original digits; add five digs.*/ g= (x+1) / y*2 /*use this as the first guesstimate. */ d= 5 /*start with 5 dec digs, saves CPU time*/ do until d==a; d= min(d + d, a) /*keep going as digits are increased. */ numeric digits d; f= d - 2 /*limit digits to original digits + 5.*/ og= /*use a non─guess for the old G (guess)*/ do forever; gm= g**m /*keep computing at the Yth root. */ _= format( (m*g*gm + x)/(y*gm),,f) /*this is the nitty─gritty calculation.*/ if _=g | _=og then leave /*are we close enough yet? */ og= g; g= _ /*save guess ──► OG; set the new guess.*/ end /*forever*/ end /*until */ g= g * sign(ox); if oy<0 then g= 1 / g /*adjust for original X sign; neg. root*/ numeric digits oDigs; return g / 1 /*normalize to original decimal digits.*/  output when using the default input:  list = 1 2 3 4 5 6 7 8 9 10 Amean = 5.5 Gmean = 4.5287286881167647622 Hmean = 3.4141715214740550062  ## Ring decimals(8) array = [1, 2, 3, 4, 5, 6, 7, 8, 9, 10] see "arithmetic mean = " + arithmeticMean(array) + nl see "geometric mean = " + geometricMean(array) + nl see "harmonic mean = " + harmonicMean(array) + nl func arithmeticMean a return summary(a) / len(a) func geometricMean a b = 1 for i = 1 to len(a) b *= a[i] next return pow(b, (1/len(a))) func harmonicMean a b = list(len(a)) for nr = 1 to len(a) b[nr] = 1/a[nr] next return len(a) / summary(b) func summary s sum = 0 for n = 1 to len(s) sum += s[n] next return sum Output: arithmetic mean = 5.50000000 geometric mean = 4.52872869 harmonic mean = 3.41417152  ## RPL These words can be used either on vectors or lists. Works with: HP version 28 ≪ → array op ≪ array 1 GET 2 array SIZE IF DUP2 > THEN DROP2 ELSE FOR j array GET op EVAL NEXT END ≫ ≫ 'REDUCE' STO ≪ DUP ≪ + ≫ REDUCE SWAP SIZE / ≫ 'AMEAN' STO ≪ DUP ≪ * ≫ REDUCE SWAP SIZE INV ^ ≫ 'GMEAN' STO ≪ SIZE LAST ≪ INV + ≫ REDUCE / ≫ 'HMEAN' STO  { 1 2 3 4 5 6 7 8 9 0 } AMEAN { 1 2 3 4 5 6 7 8 9 0 } GMEAN [ 1 2 3 4 5 6 7 8 9 0 ] HMEAN  Output: 3: 5.5 2: 4.52872868812 1: 3.41417152147  ## Ruby Works with: Ruby version 1.9+ class Array def arithmetic_mean inject(0.0, :+) / length end def geometric_mean inject(:*) ** (1.0 / length) end def harmonic_mean length / inject(0.0) {|s, m| s + 1.0/m} end end class Range def method_missing(m, *args) case m when /_mean$/ then to_a.send(m)
else super
end
end
end

p a = (1..10).arithmetic_mean
p g = (1..10).geometric_mean
p h = (1..10).harmonic_mean
# is h < g < a ??
p g.between?(h, a)

Output:
5.5
4.528728688116765
3.414171521474055
true


## Run BASIC

bXsum   = 1
for i   = 1 to 10
sum   = sum + i                ' sum of 1 -> 10
bXsum = bXsum * i              ' sum i * i
sum1i = sum1i + (1/i)          ' sum 1/i
next

average   = sum / 10
geometric = bXsum ^ (1/10)
harmonic  = 10/sum1i

print "ArithmeticMean:";average
print "Geometric Mean:";geometric
print " Harmonic Mean:";harmonic

if (average >= geometric) and (geometric >= harmonic) then print "True" else print "False"
Output:
Arithmetic Mean:5.5
Geometric Mean:4.52872869
Harmonic Mean:3.41417132
True

## Rust

fn main() {
let mut sum = 0.0;
let mut prod = 1;
let mut recsum = 0.0;
for i in 1..11{
sum += i as f32;
prod *= i;
recsum += 1.0/(i as f32);
}
let avg = sum/10.0;
let gmean = (prod as f32).powf(0.1);
let hmean = 10.0/recsum;
println!("Average: {}, Geometric mean: {}, Harmonic mean: {}", avg, gmean, hmean);
assert!( ( (avg >= gmean) && (gmean >= hmean) ), "Incorrect calculation");

}

Output:
Average: 5.5, Geometric mean:4.528729, Harmonic mean: 3.4141712


## Scala

Works with: Scala version 2.8+
def arithmeticMean(n: Seq[Int]) = n.sum / n.size.toDouble
def geometricMean(n: Seq[Int])  = math.pow(n.foldLeft(1.0)(_*_), 1.0 / n.size.toDouble)
def harmonicMean(n: Seq[Int])   = n.size / n.map(1.0 / _).sum

var nums = 1 to 10
var a = arithmeticMean(nums)
var g = geometricMean(nums)
var h = harmonicMean(nums)

println("Arithmetic mean " + a)
println("Geometric mean  " + g)
println("Harmonic mean   " + h)

assert(a >= g && g >= h)

Output:
Arithmetic mean 5.5
Geometric mean  4.528728688116765
Harmonic mean   3.414171521474055

## Scheme

Works with: Scheme version R${\displaystyle ^{5}}$ RS
(define (a-mean l)
(/ (apply + l) (length l)))

(define (g-mean l)
(expt (apply * l) (/ (length l))))

(define (h-mean l)
(/ (length l) (apply + (map / l))))

(define (iota start stop)
(if (> start stop)
(list)
(cons start (iota (+ start 1) stop))))

(let* ((l (iota 1 10)) (a (a-mean l)) (g (g-mean l)) (h (h-mean l)))
(display a)
(display " >= ")
(display g)
(display " >= ")
(display h)
(newline)
(display (>= a g h))
(newline))

Output:
11/2 >= 4.528728688116765 >= 25200/7381
#t


$include "seed7_05.s7i"; include "float.s7i"; const array float: numbers is [] (1.0, 2.0, 3.0, 4.0, 5.0, 6.0, 7.0, 8.0, 9.0, 10.0); const func proc: main is func local var float: number is 0.0; var float: sum is 0.0; var float: product is 1.0; var float: reciprocalSum is 0.0; begin for number range numbers do sum +:= number; product *:= number; reciprocalSum +:= 1.0 / number; end for; writeln("Arithmetic mean: " <& sum / flt(length(numbers))); writeln("Geometric mean: " <& product ** (1.0 / flt(length(numbers)))); writeln("Harmonic mean: " <& flt(length(numbers)) / reciprocalSum); end func; Output: Arithmetic mean: 5.5 Geometric mean: 4.528728961944580078125 Harmonic mean: 3.4141712188720703125  ## Sidef func A(a) { a.sum / a.len } func G(a) { a.prod.root(a.len) } func H(a) { a.len / a.map{1/_}.sum } The same thing, using hyper-operators: func A(a) { a«+» / a.len } func G(a) { a«*» ** (1/a.len) } func H(a) { a.len / (a«/«1 «+») } Calling the functions: say("A(1,...,10) = ", A(1..10)); say("G(1,...,10) = ", G(1..10)); say("H(1,...,10) = ", H(1..10)); Output: A(1,...,10) = 5.5 G(1,...,10) = 4.528728688116764762203309337195508793499 H(1,...,10) = 3.414171521474055006096734859775098225173 ## Smalltalk Works with: GNU Smalltalk This extends the class Collection, so these three methods can be called over any kind of collection, it is enough the the objects of the collection understand +, *, raisedTo, reciprocal and /. Collection extend [ arithmeticMean [ ^ (self fold: [:a :b| a + b ]) / (self size) ] geometricMean [ ^ (self fold: [:a :b| a * b]) raisedTo: (self size reciprocal) ] harmonicMean [ ^ (self size) / ((self collect: [:x|x reciprocal]) fold: [:a :b| a + b ] ) ] ] |a| a := #(1 2 3 4 5 6 7 8 9 10). a arithmeticMean asFloat displayNl. a geometricMean asFloat displayNl. a harmonicMean asFloat displayNl. ((a arithmeticMean) >= (a geometricMean)) displayNl. ((a geometricMean) >= (a harmonicMean)) displayNl.  Output: 5.5 4.528728688116765 3.414171521474055 true true ## SQL It may not be possible to calculate a geometric mean in a query, but the other two are easy enough. --setup create table averages (val integer); insert into averages values (1); insert into averages values (2); insert into averages values (3); insert into averages values (4); insert into averages values (5); insert into averages values (6); insert into averages values (7); insert into averages values (8); insert into averages values (9); insert into averages values (10); -- calculate means select 1/avg(1/val) as harm, avg(val) as arith from averages;  Output:  HARM ARITH ---------- ---------- 3.41417152 5.5  ## Stata The command ameans prints the arithmetic, geometric and harmonic means, together with confidence intervals. clear all set obs 10 gen x=_n ameans x Variable | Type Obs Mean [95% Conf. Interval] -------------+--------------------------------------------------------------- x | Arithmetic 10 5.5 3.334149 7.665851 | Geometric 10 4.528729 2.680672 7.650836 | Harmonic 10 3.414172 2.035664 10.57602 -----------------------------------------------------------------------------  ## Swift  // Utility for easy creation of Double from any Numeric extension Double { init(withNum v: any Numeric) { switch v { case let ii as any BinaryInteger: self.init(ii) case let ff as any BinaryFloatingPoint: self.init(ff) default: self.init() } } } // Extension for numeric collections extension Collection where Element: Numeric { var arithmeticMean: Double { self.reduce(0.0, {$0 + Double(withNum: $1)})/Double(self.count) } var geometricMean: Double { pow(self.reduce(1.0, {$0 * Double(withNum: $1)}), 1.0/Double(self.count)) } var harmonicMean: Double { Double(self.count) / self.reduce(0.0, {$0 + 1.0/Double(withNum:$1)}) } } //Usage: var c: [Int] = (1...10).map {$0}

print(c.arithmeticMean)
print(c.geometricMean)
print(c.harmonicMean)

// output:
// 5.5
// 4.528728688116765
// 3.414171521474055


## Tcl

proc arithmeticMean list {
set sum 0.0
foreach value $list { set sum [expr {$sum + $value}] } return [expr {$sum / [llength $list]}] } proc geometricMean list { set product 1.0 foreach value$list { set product [expr {$product *$value}] }
return [expr {$product ** (1.0/[llength$list])}]
}
proc harmonicMean list {
set sum 0.0
foreach value $list { set sum [expr {$sum + 1.0/$value}] } return [expr {[llength$list] / $sum}] } set nums {1 2 3 4 5 6 7 8 9 10} set A10 [arithmeticMean$nums]
set G10 [geometricMean $nums] set H10 [harmonicMean$nums]
puts "A10=$A10, G10=$G10, H10=$H10" if {$A10 >= $G10} { puts "A10 >= G10" } if {$G10 >= $H10} { puts "G10 >= H10" }  Output: A10=5.5, G10=4.528728688116765, H10=3.414171521474055 A10 >= G10 G10 >= H10  ## Ursala #import std #import flo data = ari10(1.,10.) # arithmetic progression, length 10 with endpoints 1 and 10 a = mean data g = exp mean ln* data h = div/1. mean div/*1. data #cast %eLbX main = ^(~&,ordered not fleq) <a,g,h> Output: ( <5.500000e+00,4.528729e+00,3.414172e+00>, true) ## Vala Most valac setups will need "-X -lm" added to the compile command to include the C math library. double arithmetic(int[] list){ double mean; double sum = 0; foreach(int number in list){ sum += number; } // foreach mean = sum / list.length; return mean; } // end arithmetic mean double geometric(int[] list){ double mean; double product = 1; foreach(int number in list){ product *= number; } // foreach mean = Math.pow(product, (1 / (double) list.length)); return mean; } // end geometric mean double harmonic(int[] list){ double mean; double sum_inverse = 0; foreach(int number in list){ sum_inverse += (1 / (double) number); } // foreach mean = (double) list.length / sum_inverse; return mean; } // end harmonic mean public static void main(){ int[] list = {1, 2, 3, 4, 5, 6, 7, 8, 9, 10}; double arithmetic_mean = arithmetic(list); double geometric_mean = geometric(list); double harmonic_mean = harmonic(list); // should be 5.5 stdout.printf("Arithmetic mean: %s\n", arithmetic_mean.to_string()); // should be 4.528728688116765 stdout.printf("Geometric mean: %s\n", geometric_mean.to_string()); // should be 4.528728688116765 stdout.printf("Harmonic mean: %s\n", harmonic_mean.to_string()); }  Output: Arithmetic mean: 5.5 Geometric mean: 4.5287286881167654 Harmonic mean: 3.4141715214740551  ## VBA Uses Excel VBA. Private Function arithmetic_mean(s() As Variant) As Double arithmetic_mean = WorksheetFunction.Average(s) End Function Private Function geometric_mean(s() As Variant) As Double geometric_mean = WorksheetFunction.GeoMean(s) End Function Private Function harmonic_mean(s() As Variant) As Double harmonic_mean = WorksheetFunction.HarMean(s) End Function Public Sub pythagorean_means() Dim s() As Variant s = [{1, 2, 3, 4, 5, 6, 7, 8, 9, 10}] Debug.Print "A ="; arithmetic_mean(s) Debug.Print "G ="; geometric_mean(s) Debug.Print "H ="; harmonic_mean(s) End Sub  Output: A = 5,5 G = 4,52872868811677 H = 3,41417152147406  ## VBScript Function arithmetic_mean(arr) sum = 0 For i = 0 To UBound(arr) sum = sum + arr(i) Next arithmetic_mean = sum / (UBound(arr)+1) End Function Function geometric_mean(arr) product = 1 For i = 0 To UBound(arr) product = product * arr(i) Next geometric_mean = product ^ (1/(UBound(arr)+1)) End Function Function harmonic_mean(arr) sum = 0 For i = 0 To UBound(arr) sum = sum + (1/arr(i)) Next harmonic_mean = (UBound(arr)+1) / sum End Function WScript.StdOut.WriteLine arithmetic_mean(Array(1,2,3,4,5,6,7,8,9,10)) WScript.StdOut.WriteLine geometric_mean(Array(1,2,3,4,5,6,7,8,9,10)) WScript.StdOut.WriteLine harmonic_mean(Array(1,2,3,4,5,6,7,8,9,10))  Output: 5.5 4.52872868811677 3.41417152147406  ## Visual Basic .NET Translation of: C# Imports System.Runtime.CompilerServices Module Module1 <Extension()> Function Gmean(n As IEnumerable(Of Double)) As Double Return Math.Pow(n.Aggregate(Function(s, i) s * i), 1.0 / n.Count()) End Function <Extension()> Function Hmean(n As IEnumerable(Of Double)) As Double Return n.Count() / n.Sum(Function(i) 1.0 / i) End Function Sub Main() Dim nums = From n In Enumerable.Range(1, 10) Select CDbl(n) Dim a = nums.Average() Dim g = nums.Gmean() Dim h = nums.Hmean() Console.WriteLine("Arithmetic mean {0}", a) Console.WriteLine(" Geometric mean {0}", g) Console.WriteLine(" Harmonic mean {0}", h) Debug.Assert(a >= g AndAlso g >= h) End Sub End Module  Output: Arithmetic mean 5.5 Geometric mean 4.52872868811677 Harmonic mean 3.41417152147406 ## V (Vlang) Updated for Vlang version 0.2.2 import math fn main() { mut sum := 0.0 mut prod :=1.0 mut recip_sum := 0.0 n := 10 for val in 1..(n + 1) { sum += val prod *= val recip_sum = recip_sum + ( 1.0 / val ) } a := sum / n g := math.pow( prod, ( 1.0 / f32(n) ) ) h := n / recip_sum result := 'Arithmetic Mean:${a:3.2f} \nGeometric Mean: ${g:3.2f}\nHarmonic Mean:${h:3.2f}'
println( result )

compare := if a >= g && g >= h { "Yes" } else { "Nope" }
println('Is A >= G >= H? \$compare')
}
Output:
Arithmetic Mean: 5.50
Geometric Mean: 4.53
Harmonic Mean: 3.41
Is A >= G >= H? Yes

## Wren

var rng = 1..10
var count = rng.count
var A = rng.reduce { |acc, x| acc + x }/count
var G = rng.reduce { |prod, x| prod * x}.pow(1/count)
var H = rng.reduce { |acc, x| acc + 1/x}.pow(-1) * count

System.print("For the numbers %(rng):")
System.print("  Arithmetic mean = %(A)")
System.print("  Geometric mean  = %(G)")
System.print("  Harmonic mean   = %(H)")
System.print("  A >= G >= H     = %(A >= G && G >= H)")
Output:
For the numbers 1..10:
Arithmetic mean = 5.5
Geometric mean  = 4.5287286881168
Harmonic mean   = 3.4141715214741
A >= G >= H     = true


## XPL0

include c:\cxpl\codes;

func real Power(X, Y);          \X raised to the Y power
real X, Y;                      \ (from StdLib.xpl)
return Exp(Y * Ln(X));

int  N, Order;
real R, A, A1, G, G1, H, H1;
[A1:= 0.0;  G1:= 1.0;  H1:= 0.0;
Order:= true;
for N:= 1 to 10 do
[R:= float(N);          \convert integer N to real R
A1:= A1 + R;
A:= A1/R;               \arithmetic mean
G1:= G1 * R;
G:= Power(G1, 1.0/R);   \geometric mean (Nth root of G1)
if G>A then Order:= false;
H1:= H1 + 1.0/R;
H:= R/H1;               \harmonic mean
if H>G then Order:= false;
];
RlOut(0, A); CrLf(0);
RlOut(0, G); CrLf(0);
RlOut(0, H); CrLf(0);
if not Order then Text(0, "NOT ");
Text(0, "ALWAYS DECREASING ORDER
");
]
Output:
    5.50000
4.52873
3.41417
ALWAYS DECREASING ORDER


## zkl

ns:=T(1,2,3,4,5,6,7,8,9,10);
ns.sum(0.0)/ns.len();					   // Arithmetic mean
ns.reduce('*,1.0).pow(1.0/ns.len());			   // Geometric mean
ns.len().toFloat() / ns.reduce(fcn(p,n){ p + 1.0/n },0.0); // Harmonic mean
Output:
5.5
4.52873
3.41417
`